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J. Scott Armstrong

(deceased)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Armstrong, J. Scott & Green, Kesten C. & Jones, Randall J. & Wright, Malcolm, 2008. "Predicting elections from politicians’ faces," MPRA Paper 9150, University Library of Munich, Germany.

    Mentioned in:

    1. Becoming President of the US: a good face is enough
      by Economic Logician in Economic Logic on 2008-06-19 18:51:00
  2. Armstrong, J. Scott & Graefe, Andreas, 2009. "Predicting Elections from Biographical Information about Candidates," MPRA Paper 16461, University Library of Munich, Germany.

    Mentioned in:

    1. How to select presidential candidates based on their biography
      by Economic Logician in Economic Logic on 2009-09-14 19:58:00
  3. JS Armstrong & Terry Overton, 2005. "Estimating Nonresponse Bias in Mail Surveys," General Economics and Teaching 0502044, University Library of Munich, Germany.

    Mentioned in:

    1. Surveys in Crisis
      by noreply@blogger.com (Carola) in Quantitative Ease on 2015-08-01 00:31:00

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. JS Armstrong, 2005. "Cheating in Management Science (with Comments by M. K. Starr and M. J. Mahoney)," General Economics and Teaching 0502056, University Library of Munich, Germany.

    Mentioned in:

    1. > Economics Profession > Ethics in Economics > Plagiarism

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Kesten Green & J. Scott Armstrong & Andreas Graefe, 2007. "Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 8, pages 17-20, Fall.

    Mentioned in:

    1. Delphi method in Wikipedia (English)
    2. デルファイ法 in Wikipedia (Japanese)
    3. Metoda Delphi in Wikipedia (Romanian)

Working papers

  1. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2014. "Golden Rule of Forecasting: Be conservative," MPRA Paper 53579, University Library of Munich, Germany.

    Cited by:

    1. von der Gracht, Heiko A. & Hommel, Ulrich & Prokesch, Tobias & Wohlenberg, Holger, 2016. "Testing weighting approaches for forecasting in a Group Wisdom Support System environment," Journal of Business Research, Elsevier, vol. 69(10), pages 4081-4094.
    2. Caldarulo, Mattia & Mossberger, Karen & Howell, Anthony, 2023. "Community-wide broadband adoption and student academic achievement," Telecommunications Policy, Elsevier, vol. 47(1).
    3. Soyer, Emre & Hogarth, Robin M., 2015. "The golden rule of forecasting: Objections, refinements, and enhancements," Journal of Business Research, Elsevier, vol. 68(8), pages 1702-1704.
    4. Pennings, Clint L.P. & van Dalen, Jan & Rook, Laurens, 2019. "Coordinating judgmental forecasting: Coping with intentional biases," Omega, Elsevier, vol. 87(C), pages 46-56.
    5. Jaganathan, Srihari & Prakash, P.K.S., 2020. "A combination-based forecasting method for the M4-competition," International Journal of Forecasting, Elsevier, vol. 36(1), pages 98-104.
    6. Döpke, Jörg & Fritsche, Ulrich & Müller, Karsten, 2019. "Has macroeconomic forecasting changed after the Great Recession? Panel-based evidence on forecast accuracy and forecaster behavior from Germany," Journal of Macroeconomics, Elsevier, vol. 62(C).
    7. Bogomolova, Svetlana & Szabo, Marietta & Kennedy, Rachel, 2017. "Retailers' and manufacturers' price-promotion decisions: Intuitive or evidence-based?," Journal of Business Research, Elsevier, vol. 76(C), pages 189-200.
    8. Marek Kwas & Alessia Paccagnini & Michal Rubaszek, 2020. "Common Factors and the Dynamics of Cereal Prices: A Forecasting Perspective," CAMA Working Papers 2020-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    9. Buckmann, Marcus & Haldane, Andy & Hüser, Anne-Caroline, 2021. "Comparing minds and machines: implications for financial stability," Bank of England working papers 937, Bank of England.
    10. Graefe, Andreas & Küchenhoff, Helmut & Stierle, Veronika & Riedl, Bernhard, 2015. "Limitations of Ensemble Bayesian Model Averaging for forecasting social science problems," International Journal of Forecasting, Elsevier, vol. 31(3), pages 943-951.
    11. Chumnumpan, Pattarin & Shi, Xiaohui, 2019. "Understanding new products’ market performance using Google Trends," Australasian marketing journal, Elsevier, vol. 27(2), pages 91-103.
    12. Osman Gulseven, 2016. "Forecasting Population and Demographic Composition of Kuwait Until 2030," International Journal of Economics and Financial Issues, Econjournals, vol. 6(4), pages 1429-1435.
    13. Tessier, Thomas H. & Armstrong, J. Scott, 2015. "Decomposition of time-series by level and change," Journal of Business Research, Elsevier, vol. 68(8), pages 1755-1758.
    14. Thomson, Mary E. & Pollock, Andrew C. & Önkal, Dilek & Gönül, M. Sinan, 2019. "Combining forecasts: Performance and coherence," International Journal of Forecasting, Elsevier, vol. 35(2), pages 474-484.
    15. Blanc, Sebastian M. & Setzer, Thomas, 2016. "When to choose the simple average in forecast combination," Journal of Business Research, Elsevier, vol. 69(10), pages 3951-3962.
    16. Katsikopoulos, Konstantinos V. & Durbach, Ian N. & Stewart, Theodor J., 2018. "When should we use simple decision models? A synthesis of various research strands," Omega, Elsevier, vol. 81(C), pages 17-25.
    17. Lackes, Richard & Siepermann, Markus & Vetter, Georg, 2020. "What drives decision makers to follow or ignore forecasting tools - A game based analysis," Journal of Business Research, Elsevier, vol. 106(C), pages 315-322.
    18. Konstantinos Nikolopoulos & Waleed S. Alghassab & Konstantia Litsiou & Stelios Sapountzis, 2019. "Long-Term Economic Forecasting with Structured Analogies and Interaction Groups," Working Papers 19018, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    19. Andreas Graefe & Kesten C Green & J Scott Armstrong, 2019. "Accuracy gains from conservative forecasting: Tests using variations of 19 econometric models to predict 154 elections in 10 countries," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-14, January.
    20. Gang Cheng & Sicong Wang & Yuhong Yang, 2015. "Forecast Combination under Heavy-Tailed Errors," Econometrics, MDPI, vol. 3(4), pages 1-28, November.
    21. Gardner, Everette S., 2015. "Conservative forecasting with the damped trend," Journal of Business Research, Elsevier, vol. 68(8), pages 1739-1741.
    22. Wan, Xiang & Sanders, Nadia R., 2017. "The negative impact of product variety: Forecast bias, inventory levels, and the role of vertical integration," International Journal of Production Economics, Elsevier, vol. 186(C), pages 123-131.
    23. Perera, H. Niles & Hurley, Jason & Fahimnia, Behnam & Reisi, Mohsen, 2019. "The human factor in supply chain forecasting: A systematic review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 574-600.
    24. Wright, Malcolm J. & Stern, Philip, 2015. "Forecasting new product trial with analogous series," Journal of Business Research, Elsevier, vol. 68(8), pages 1732-1738.
    25. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    26. Arvan, Meysam & Fahimnia, Behnam & Reisi, Mohsen & Siemsen, Enno, 2019. "Integrating human judgement into quantitative forecasting methods: A review," Omega, Elsevier, vol. 86(C), pages 237-252.
    27. Liu, Zhenyuan & Han, Shuihua & Li, Chao & Gupta, Shivam & Sivarajah, Uthayasankar, 2022. "Leveraging customer engagement to improve the operational efficiency of social commerce start-ups," Journal of Business Research, Elsevier, vol. 140(C), pages 572-582.
    28. Woodside, Arch G., 2020. "Interventions as experiments: Connecting the dots in forecasting and overcoming pandemics, global warming, corruption, civil rights violations, misogyny, income inequality, and guns," Journal of Business Research, Elsevier, vol. 117(C), pages 212-218.
    29. Fildes, Robert & Petropoulos, Fotios, 2015. "Is there a Golden Rule?," Journal of Business Research, Elsevier, vol. 68(8), pages 1742-1745.
    30. Bunker, Kenneth, 2020. "A two-stage model to forecast elections in new democracies," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1407-1419.
    31. Spiliotis, Evangelos & Assimakopoulos, Vassilios & Makridakis, Spyros, 2020. "Generalizing the Theta method for automatic forecasting," European Journal of Operational Research, Elsevier, vol. 284(2), pages 550-558.
    32. Taku Moriyama & Masashi Kuwano & Masahito Nakayama, 2024. "A statistical method for estimating piecewise linear sales trends," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 436-444, June.
    33. Green, Kesten C. & Armstrong, J. Scott & Graefe, Andreas, 2015. "Golden rule of forecasting rearticulated: Forecast unto others as you would have them forecast unto you," Journal of Business Research, Elsevier, vol. 68(8), pages 1768-1771.
    34. Barreto Martins, Diogo & Strambi, Orlando, 2021. "Forecasting upon a star: Forecasting or wishful thinking?," Journal of Air Transport Management, Elsevier, vol. 91(C).
    35. Lehr, Thomas & Lorenz, Ullrich & Willert, Markus & Rohrbeck, René, 2017. "Scenario-based strategizing: Advancing the applicability in strategists' teams," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 214-224.
    36. Warwick Smith & Anca M. Hanea & Mark A. Burgman, 2022. "Can Groups Improve Expert Economic and Financial Forecasts?," Forecasting, MDPI, vol. 4(3), pages 1-18, August.
    37. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    38. Graefe, Andreas, 2023. "Embrace the differences: Revisiting the PollyVote method of combining forecasts for U.S. presidential elections (2004 to 2020)," International Journal of Forecasting, Elsevier, vol. 39(1), pages 170-177.
    39. Fildes, Robert & Petropoulos, Fotios, 2015. "Simple versus complex selection rules for forecasting many time series," Journal of Business Research, Elsevier, vol. 68(8), pages 1692-1701.
    40. Ca’ Zorzi, Michele & Rubaszek, Michał, 2023. "How many fundamentals should we include in the behavioral equilibrium exchange rate model?," Economic Modelling, Elsevier, vol. 118(C).
    41. Graefe, Andreas, 2015. "Improving forecasts using equally weighted predictors," Journal of Business Research, Elsevier, vol. 68(8), pages 1792-1799.
    42. Hopfe, David H. & Lee, Kiljae & Yu, Chunyan, 2024. "Short-term forecasting airport passenger flow during periods of volatility: Comparative investigation of time series vs. neural network models," Journal of Air Transport Management, Elsevier, vol. 115(C).
    43. Salim Lahmiri, 2020. "A predictive system integrating intrinsic mode functions, artificial neural networks, and genetic algorithms for forecasting S&P500 intra‐day data," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(2), pages 55-65, April.
    44. Jackson, Karen & Magkonis, Georgios, 2024. "Exchange rate predictability: Fact or fiction?," Journal of International Money and Finance, Elsevier, vol. 142(C).
    45. Alireza Rezazadeh, 2020. "A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine-Learning Approach," Forecasting, MDPI, vol. 2(3), pages 1-17, August.

  2. Armstrong, J. Scott & Green, Kesten C., 2012. "Effects of corporate social responsibility and irresponsibility policies," MPRA Paper 43007, University Library of Munich, Germany.

    Cited by:

    1. Gerda Barauskaite & Dalia Streimikiene, 2021. "Corporate social responsibility and financial performance of companies: The puzzle of concepts, definitions and assessment methods," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(1), pages 278-287, January.
    2. Chernyi, Alex & Uotila, Juha, 2024. "Prioritization of organizational stakeholders: A managerial decision-making perspective," Journal of Business Research, Elsevier, vol. 185(C).
    3. Ucar, Erdem & Staer, Arsenio, 2020. "Local corruption and corporate social responsibility," Journal of Business Research, Elsevier, vol. 116(C), pages 266-282.
    4. Paniagua, Jordi & Sapena, Juan, 2014. "Is FDI doing good? A golden rule for FDI ethics," Journal of Business Research, Elsevier, vol. 67(5), pages 807-812.
    5. Nguyen, Pascal & Rahman, Nahid & Zhao, Ruoyun, 2024. "Do firms adjust their payout policy to public perception of their social irresponsibility?," Journal of Business Research, Elsevier, vol. 185(C).
    6. Youliang Jin & Chen Cheng & Huixiang Zeng, 2020. "Is evil rewarded with evil? The market penalty effect of corporate environmentally irresponsible events," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 846-871, March.
    7. Guillermo Badía & Fernando Gómez‐Bezares & Luis Ferruz, 2022. "Are investments in material corporate social responsibility issues a key driver of financial performance?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(3), pages 3987-4011, September.
    8. Stephanie Lu Wang & Dan Li, 2019. "Responding to public disclosure of corporate social irresponsibility in host countries: Information control and ownership control," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(8), pages 1283-1309, October.
    9. Singhapakdi, Anusorn & Lee, Dong-Jin & Sirgy, M. Joseph & Senasu, Kalayanee, 2015. "The impact of incongruity between an organization's CSR orientation and its employees' CSR orientation on employees' quality of work life," Journal of Business Research, Elsevier, vol. 68(1), pages 60-66.
    10. Carmen-Florentina Paunescu (Petre) & Mariana Man, 2019. "Social Accounting – Base Lever Of The Organization’S Social Responsibility," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 2(47), pages 195-204, December.
    11. Shanyong Wang & Jun Li & Dingtao Zhao, 2018. "Institutional Pressures and Environmental Management Practices: The Moderating Effects of Environmental Commitment and Resource Availability," Business Strategy and the Environment, Wiley Blackwell, vol. 27(1), pages 52-69, January.
    12. Yifan He & Wenfang Lin & Justas Streimikis, 2019. "Linking Corporate Social Responsibility with Reputation and Brand of the Firm," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 21(51), pages 422-422.
    13. Gregory Jackson & Julia Bartosch & Emma Avetisyan & Daniel Kinderman & Jette Steen Knudsen, 2020. "Mandatory Non-financial Disclosure and Its Influence on CSR: An International Comparison," Journal of Business Ethics, Springer, vol. 162(2), pages 323-342, March.
    14. Sonia Boukattaya & Zied Ftiti & Nouha Ben Arfa & Abdelwahed Omri, 2022. "Financial performance under board gender diversity: The mediating effect of corporate social practices," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(5), pages 1871-1883, September.
    15. Jiwon Yang & Jay Hyuk Rhee, 2020. "CSR disclosure against boycotts: evidence from Korea," Asian Business & Management, Palgrave Macmillan, vol. 19(3), pages 311-343, July.
    16. Price, Joseph M. & Sun, Wenbin, 2017. "Doing good and doing bad: The impact of corporate social responsibility and irresponsibility on firm performance," Journal of Business Research, Elsevier, vol. 80(C), pages 82-97.
    17. Keig, Dawn L. & Brouthers, Lance Eliot & Marshall, Victor B., 2019. "The impact of formal and informal institutional distances on MNE corporate social performance," International Business Review, Elsevier, vol. 28(5), pages 1-1.
    18. Nam, Hyun-Jung & Ryu, Doojin, 2023. "FDI and human development: The role of governance, ODA, and national competitiveness," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    19. Agnese, Paolo & De Masi, Francesco & Porretta, Pasqualina & Santoboni, Fabrizio, 2024. "Sustainable or not sustainable pension fund: This is the question. The case of environmental social governance policies in the Italian pension system," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    20. Woon Leong Lin & Chin Lee & Siong Hook Law, 2021. "Asymmetric effects of corporate sustainability strategy on value creation among global automotive firms: A dynamic panel quantile regression approach," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 931-954, February.
    21. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    22. Štager Vesna, 2018. "Changes in Tax Legislation and Social Responsibility of Taxpayers and Legislative Institutions," Naše gospodarstvo/Our economy, Sciendo, vol. 64(1), pages 48-57, March.
    23. Alda, Mercedes, 2020. "ESG fund scores in UK SRI and conventional pension funds: Are the ESG concerns of the SRI niche affecting the conventional mainstream?," Finance Research Letters, Elsevier, vol. 36(C).
    24. Mazzei Matthew J. & Gangloff Ashley K. & Shook Christoper L., 2015. "Examining multi-level effects on corporate social responsibility and irresponsibility," Management & Marketing, Sciendo, vol. 10(3), pages 163-184, October.
    25. Pascal Nguyen & Nahid Rahman & Ruoyun Zhao, 2024. "Do firms adjust their payout policy to public perception of their social irresponsibility ?," Post-Print hal-05075880, HAL.
    26. Jill A. Küberling-Jost, 2021. "Paths of Corporate Irresponsibility: A Dynamic Process," Journal of Business Ethics, Springer, vol. 169(3), pages 579-601, March.
    27. Camelia-Daniela Hategan & Nicoleta Sirghi & Ruxandra-Ioana Curea-Pitorac & Vasile-Petru Hategan, 2018. "Doing Well or Doing Good: The Relationship between Corporate Social Responsibility and Profit in Romanian Companies," Sustainability, MDPI, vol. 10(4), pages 1-23, April.
    28. Zhongjuan Sun & Jialin Feng & Yikai Yuan & Jiamu Sun, 2025. "How does parent firms' ESG disclosure affect overseas subsidiary financial performance? The case of Chinese multinationals," Asian Business & Management, Palgrave Macmillan, vol. 24(1), pages 128-165, February.
    29. Choudhary, Piyush & Kumar Jain, Nikunj & Panda, Abinash, 2022. "Making small and medium enterprises circular economy compliant by reducing the single use plastic consumption," Journal of Business Research, Elsevier, vol. 149(C), pages 448-462.
    30. Ionel JIANU, 2015. "The Role of Food Companies in Consumer Protection Through the Sustainable Reporting," The Journal of Accounting and Management, Danubius University of Galati, issue 3, pages 75-84, December.
    31. Federica Nieri & Luciano Ciravegna, 2019. "Investigating firms' involvement in corporate social irresponsibility: Are family owned MNEs better corporate citizens?," Discussion Papers 2019/254, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    32. Anita Mendiratta & Shveta Singh & Surendra Singh Yadav & Arvind Mahajan, 2023. "Bibliometric and Topic Modeling Analysis of Corporate Social Irresponsibility," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 319-339, September.
    33. Olaf Stotz, 2021. "Expected and realized returns on stocks with high- and low-ESG exposure," Journal of Asset Management, Palgrave Macmillan, vol. 22(2), pages 133-150, March.
    34. André Hellmeister & Harold Richins, 2019. "Green to Gold: Beneficial Impacts of Sustainability Certification and Practice on Tour Enterprise Performance," Sustainability, MDPI, vol. 11(3), pages 1-17, January.
    35. Bilbao-Terol, Amelia & Álvarez-Otero, Susana & Bilbao-Terol, Celia & Cañal-Fernández, Verónica, 2017. "Hedonic evaluation of the SRI label of mutual funds using matching methodology," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 213-227.
    36. Sanjaya Singh Gaur & Ila Mehrotra Anand, 2020. "Role of individuals’ virtues in relationship between emotional responses to government’s actions and their consequences," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 24(2), pages 327-364, June.
    37. María Iborra & Marta Riera, 2023. "Corporate social irresponsibility: What we know and what we need to know," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(3), pages 1421-1439, May.
    38. Maurer, Rainer, 2015. "Auf dem Weg zur weltanschaulichen Bekenntnisschule: Das wirtschaftspolitische Leitbild der Hochschule Pforzheim," Beiträge der Hochschule Pforzheim 152, Pforzheim University.
    39. Hua, Lian-Lian & Prentice, Catherine & Han, Xiaoyun, 2021. "A netnographical approach to typologizing customer engagement and corporate misconduct," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    40. Dharwadkar, Ravi & Guo, Jun & Shi, Linna & Yang, Rong, 2021. "Corporate social irresponsibility and boards: The implications of legal expertise," Journal of Business Research, Elsevier, vol. 125(C), pages 143-154.

  3. Green, Kesten C. & Armstrong, J. Scott, 2012. "Evidence on the effects of mandatory disclaimers in advertising," MPRA Paper 37766, University Library of Munich, Germany.

    Cited by:

    1. Armstrong, J. Scott & Green, Kesten C., 2013. "Effects of corporate social responsibility and irresponsibility policies," Journal of Business Research, Elsevier, vol. 66(10), pages 1922-1927.
    2. Cui, Geng & Chung, Yuho & Peng, Ling & Zheng, Wanyi, 2022. "The importance of being earnest: Mandatory vs. voluntary disclosure of incentives for online product reviews," Journal of Business Research, Elsevier, vol. 141(C), pages 633-645.
    3. Jeffrey Moriarty, 2025. "Against the Sale of Homeopathy (and Other Ineffective Medicines)," Journal of Business Ethics, Springer, vol. 198(1), pages 143-153, April.
    4. Elizabeth A. Minton & T. Bettina Cornwell, 2016. "The Cause Cue Effect: Cause-Related Marketing and Consumer Health Perceptions," Journal of Consumer Affairs, Wiley Blackwell, vol. 50(2), pages 372-402, July.

  4. Armstrong, J. Scott, 2011. "Illusions in Regression Analysis," MPRA Paper 81663, University Library of Munich, Germany.

    Cited by:

    1. Elnaz Safapour & Sharareh Kermanshachi & Behzad Rouhanizadeh, 2023. "Prediction of cost and schedule performance in post-hurricane reconstruction of transportation infrastructure," PLOS ONE, Public Library of Science, vol. 18(3), pages 1-24, March.
    2. Cogoljević, Dušan & Gavrilović, Milan & Roganović, Miloš & Matić, Ivana & Piljan, Ivan, 2018. "Analyzing of consumer price index influence on inflation by multiple linear regression," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 941-944.

  5. Armstrong, J. Scott & Graefe, Andreas, 2009. "Predicting Elections from Biographical Information about Candidates," MPRA Paper 16461, University Library of Munich, Germany.

    Cited by:

    1. Voss, Kevin E., 2011. "Voss wins the Presidency! A commentary essay on "Predicting elections from biographical information about candidates: A test of the index method"," Journal of Business Research, Elsevier, vol. 64(4), pages 345-347, April.
    2. Cote, Joseph A., 2011. "Predicting elections from biographical information about candidates: A commentary essay," Journal of Business Research, Elsevier, vol. 64(7), pages 696-698, July.
    3. Graefe, Andreas & Armstrong, J. Scott, 2011. "Conditions under which index models are useful: Reply to bio-index commentaries," Journal of Business Research, Elsevier, vol. 64(7), pages 693-695, July.

  6. Green, Kesten C. & Armstrong, J. Scott, 2009. "Role thinking: Standing in other people’s shoes to forecast decisions in conflicts," MPRA Paper 16422, University Library of Munich, Germany.

    Cited by:

    1. Bradfield, Ron & Cairns, George & Wright, George, 2015. "Teaching scenario analysis—An action learning pedagogy," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 44-52.
    2. de Villiers, Rouxelle & Woodside, Arch G. & Marshall, Roger, 2016. "Making tough decisions competently: Assessing the value of product portfolio planning methods, devil’s advocacy, group discussion, weighting priorities, and evidenced-based information," Journal of Business Research, Elsevier, vol. 69(8), pages 2849-2862.
    3. Wright, George & Rowe, Gene, 2011. "Group-based judgmental forecasting: An integration of extant knowledge and the development of priorities for a new research agenda," International Journal of Forecasting, Elsevier, vol. 27(1), pages 1-13, January.
    4. Winkler, Jens & Moser, Roger, 2016. "Biases in future-oriented Delphi studies: A cognitive perspective," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 63-76.
    5. Mike Metcalfe & Saras Sastrowardoyo, 2016. "Sense-making Innovative Systems: Prestigious MOOCs," Systems Research and Behavioral Science, Wiley Blackwell, vol. 33(3), pages 437-451, May.
    6. George Cairns & George Wright, 2019. "Making scenario interventions matter: Exploring issues of power and rationality," Futures & Foresight Science, John Wiley & Sons, vol. 1(1), March.
    7. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    8. Önkal, Dilek & Zeynep Sayım, K. & Lawrence, Michael, 2012. "Wisdom of group forecasts: Does role-playing play a role?," Omega, Elsevier, vol. 40(6), pages 693-702.

  7. Graefe, Andreas & Armstrong, J. Scott, 2008. "Forecasting Elections from Voters’ Perceptions of Candidates’ Positions on Issues and Policies," MPRA Paper 9829, University Library of Munich, Germany.

    Cited by:

    1. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzán, Alfred G., 2014. "Combining forecasts: An application to elections," International Journal of Forecasting, Elsevier, vol. 30(1), pages 43-54.
    2. Armstrong, J. Scott & Graefe, Andreas, 2009. "Predicting Elections from Biographical Information about Candidates," MPRA Paper 16461, University Library of Munich, Germany.
    3. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    4. Graefe, Andreas & Armstrong, J. Scott, 2011. "Conditions under which index models are useful: Reply to bio-index commentaries," Journal of Business Research, Elsevier, vol. 64(7), pages 693-695, July.
    5. Graefe, Andreas, 2015. "Improving forecasts using equally weighted predictors," Journal of Business Research, Elsevier, vol. 68(8), pages 1792-1799.

  8. Green, Kesten C & Armstrong, J Scott & Soon, Willie, 2008. "Benchmark forecasts for climate change," MPRA Paper 12163, University Library of Munich, Germany.

    Cited by:

    1. Fildes, Robert & Kourentzes, Nikolaos, 2011. "Validation and forecasting accuracy in models of climate change," International Journal of Forecasting, Elsevier, vol. 27(4), pages 968-995, October.

  9. Armstrong, J. Scott & Green, Kesten C. & Jones, Randall J. & Wright, Malcolm, 2008. "Predicting elections from politicians’ faces," MPRA Paper 9150, University Library of Munich, Germany.

    Cited by:

    1. Graefe, Andreas & Armstrong, J. Scott, 2008. "Forecasting Elections from Voters’ Perceptions of Candidates’ Positions on Issues and Policies," MPRA Paper 9829, University Library of Munich, Germany.
    2. Armstrong, J. Scott & Graefe, Andreas, 2011. "Predicting elections from biographical information about candidates: A test of the index method," Journal of Business Research, Elsevier, vol. 64(7), pages 699-706, July.
    3. J. Scott Armstrong & Kesten C. Green & Willie Soon, 2008. "Polar Bear Population Forecasts: A Public-Policy Forecasting Audit," Interfaces, INFORMS, vol. 38(5), pages 382-405, October.
    4. Rothschild, David, 2015. "Combining forecasts for elections: Accurate, relevant, and timely," International Journal of Forecasting, Elsevier, vol. 31(3), pages 952-964.
    5. Daniel E Re & David W Hunter & Vinet Coetzee & Bernard P Tiddeman & Dengke Xiao & Lisa M DeBruine & Benedict C Jones & David I Perrett, 2013. "Looking Like a Leader–Facial Shape Predicts Perceived Height and Leadership Ability," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-10, December.

  10. Green, Kesten C. & Armstrong, J. Scott & Graefe, Andreas, 2007. "Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared," MPRA Paper 4663, University Library of Munich, Germany.

    Cited by:

    1. Graefe, Andreas & Armstrong, J. Scott, 2011. "Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task," International Journal of Forecasting, Elsevier, vol. 27(1), pages 183-195.
    2. Robert J. MacCoun, 2010. "Comment on "Rethinking America's Illegal Drug Policy"," NBER Chapters, in: Controlling Crime: Strategies and Tradeoffs, pages 281-289, National Bureau of Economic Research, Inc.
    3. Kerr, Norbert L. & Tindale, R. Scott, 2011. "Group-based forecasting?: A social psychological analysis," International Journal of Forecasting, Elsevier, vol. 27(1), pages 14-40, January.
    4. Maria Jose Marques & Gudrun Schwilch & Nina Lauterburg & Stephen Crittenden & Mehreteab Tesfai & Jannes Stolte & Pandi Zdruli & Claudio Zucca & Thorunn Petursdottir & Niki Evelpidou & Anna Karkani & Y, 2016. "Multifaceted Impacts of Sustainable Land Management in Drylands: A Review," Sustainability, MDPI, vol. 8(2), pages 1-34, February.
    5. Kerr, Norbert L. & Tindale, R. Scott, 2011. "Group-based forecasting?: A social psychological analysis," International Journal of Forecasting, Elsevier, vol. 27(1), pages 14-40.
    6. Milan Daus & Katharina Koberger & Kaan Koca & Felix Beckers & Jorge Encinas Fernández & Barbara Weisbrod & Daniel Dietrich & Sabine Ulrike Gerbersdorf & Rüdiger Glaser & Stefan Haun & Hilmar Hofmann &, 2021. "Interdisciplinary Reservoir Management—A Tool for Sustainable Water Resources Management," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    7. Keyvanfar, Ali & Shafaghat, Arezou & Abd Majid, Muhd Zaimi & Bin Lamit, Hasanuddin & Warid Hussin, Mohd & Binti Ali, Kherun Nita & Dhafer Saad, Alshahri, 2014. "User satisfaction adaptive behaviors for assessing energy efficient building indoor cooling and lighting environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 277-295.
    8. Samir Mili & Maria Bouhaddane, 2021. "Forecasting Global Developments and Challenges in Olive Oil Supply and Demand: A Delphi Survey from Spain," Agriculture, MDPI, vol. 11(3), pages 1-25, February.
    9. Angela Dalton & Alan Brothers & Stephen Walsh & Paul Whitney, 2010. "Expert Elicitation Method Selection Process and Method Comparison," Labsi Experimental Economics Laboratory University of Siena 030, University of Siena.
    10. Bloem da Silveira Junior, Luiz A. & Vasconcellos, Eduardo & Vasconcellos Guedes, Liliana & Guedes, Luis Fernando A. & Costa, Renato Machado, 2018. "Technology roadmapping: A methodological proposition to refine Delphi results," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 194-206.
    11. Omid Bozorg-Haddad & Mohammad Delpasand & Sarvin ZamanZad-Ghavidel & Xuefeng Chu, 2024. "Developing a novel social–water capital index by gene expression programming," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 28187-28217, November.
    12. Liu, Yaqin & Zhao, Guohao & Zhao, Yushan, 2016. "An analysis of Chinese provincial carbon dioxide emission efficiencies based on energy consumption structure," Energy Policy, Elsevier, vol. 96(C), pages 524-533.
    13. Ricardo Gomes & Alfeu Marques & Joaquim Sousa, 2013. "District Metered Areas Design Under Different Decision Makers’ Options: Cost Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4527-4543, October.
    14. Vicente Coll-Serrano & Salvador Carrasco-Arroyo & Olga Blasco-Blasco & Luis Vila-Lladosa, 2012. "Design of a Basic System of Indicators for Monitoring and Evaluating Spanish Cooperation’s Culture and Development Strategy," Evaluation Review, , vol. 36(4), pages 272-302, August.
    15. Goodwin, Paul & Meeran, Sheik & Dyussekeneva, Karima, 2014. "The challenges of pre-launch forecasting of adoption time series for new durable products," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1082-1097.
    16. Palma, David & Dios Ortuzar, Juan de & Casaubon, Gerard & Rizzi, Luis I. & Agosin, Eduardo, 2013. "Measuring consumer preferences using hybrid discrete choice models," Working Papers 164855, American Association of Wine Economists.
    17. Joshua Becker & Abdullah Almaatouq & EmH{o}ke-'Agnes Horv'at, 2020. "Network Structures of Collective Intelligence: The Contingent Benefits of Group Discussion," Papers 2009.07202, arXiv.org, revised Mar 2021.
    18. Geoff Woolcott & Dan Chamberlain & Zachary Hawes & Michelle Drefs & Catherine D. Bruce & Brent Davis & Krista Francis & David Hallowell & Lynn McGarvey & Joan Moss & Joanne Mulligan & Yukari Okamoto &, 2020. "The central position of education in knowledge mobilization: insights from network analyses of spatial reasoning research across disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2323-2347, December.
    19. Shin, Dong-Hee, 2015. "Effect of the customer experience on satisfaction with smartphones: Assessing smart satisfaction index with partial least squares," Telecommunications Policy, Elsevier, vol. 39(8), pages 627-641.
    20. Lang, Mark & Bharadwaj, Neeraj & Di Benedetto, C. Anthony, 2016. "How crowdsourcing improves prediction of market-oriented outcomes," Journal of Business Research, Elsevier, vol. 69(10), pages 4168-4176.
    21. Robert Reig & Ramona Schoder, 2010. "Forecasting Accuracy: Comparing Prediction Markets And Surveys – An Experimental Study," Journal of Prediction Markets, University of Buckingham Press, vol. 4(3), pages 1-19.
    22. Soyeon Caren Han & Yulu Liang & Hyunsuk Chung & Hyejin Kim & Byeong Ho Kang, 2016. "Chinese trending search terms popularity rank prediction," Information Technology and Management, Springer, vol. 17(2), pages 133-139, June.
    23. Sungchul Kim & Dongsik Jang & Sunghae Jun & Sangsung Park, 2015. "A Novel Forecasting Methodology for Sustainable Management of Defense Technology," Sustainability, MDPI, vol. 7(12), pages 1-17, December.

  11. Armstrong, J. Scott, 2007. "Significance Tests Harm Progress in Forecasting," MPRA Paper 81664, University Library of Munich, Germany.

    Cited by:

    1. Hjelm, Göran & Jönsson, Kristian, 2010. "In Search of a Method for Measuring the Output Gap of the Swedish Economy," Working Papers 115, National Institute of Economic Research.
    2. Antipin, Jan-Erik & Boumediene, Farid Jimmy & Österholm, Pär, 2013. "On the Usefulness of Constant Gain Least Squares when Forecasting the Unemployment Rate," Working Papers 129, National Institute of Economic Research.
    3. Berger, Helge & Österholm, Pär, 2008. "Does money matter for U.S. inflation? Evidence from Bayesian VARs," Discussion Papers 2008/9, Free University Berlin, School of Business & Economics.
    4. Fildes, Robert & Wei, Yingqi & Ismail, Suzilah, 2011. "Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures," International Journal of Forecasting, Elsevier, vol. 27(3), pages 902-922.
    5. Crone, Sven F. & Hibon, Michèle & Nikolopoulos, Konstantinos, 2011. "Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction," International Journal of Forecasting, Elsevier, vol. 27(3), pages 635-660.
    6. P�r Österholm, 2014. "Survey data and short-term forecasts of Swedish GDP growth," Applied Economics Letters, Taylor & Francis Journals, vol. 21(2), pages 135-139, January.
    7. Kodila-Tedika, Oasis & Rindermann, Heiner & Christainsen, Gregory, 2014. "Cognitive capital, governance, and the wealth of nations," MPRA Paper 57563, University Library of Munich, Germany.
    8. Kauko, Karlo & Palmroos, Peter, 2014. "The Delphi method in forecasting financial markets— An experimental study," International Journal of Forecasting, Elsevier, vol. 30(2), pages 313-327.
    9. Savio, Nicolas D. & Nikolopoulos, Konstantinos, 2013. "A strategic forecasting framework for governmental decision-making and planning," International Journal of Forecasting, Elsevier, vol. 29(2), pages 311-321.
    10. Pär Österholm & Mr. Helge Berger, 2008. "Does Money Growth Granger-Cause Inflation in the Euro Area? Evidence from Out-of-Sample Forecasts Using Bayesian VARs," IMF Working Papers 2008/053, International Monetary Fund.
    11. Syntetos, Aris A. & Kholidasari, Inna & Naim, Mohamed M., 2016. "The effects of integrating management judgement into OUT levels: In or out of context?," European Journal of Operational Research, Elsevier, vol. 249(3), pages 853-863.
    12. Österholm, Pär, 2009. "Improving Unemployment Rate Forecasts Using Survey Data," Working Papers 112, National Institute of Economic Research.
    13. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzán, Alfred G., 2014. "Combining forecasts: An application to elections," International Journal of Forecasting, Elsevier, vol. 30(1), pages 43-54.
    14. Hirschauer Norbert & Mußhoff Oliver & Grüner Sven & Frey Ulrich & Theesfeld Insa & Wagner Peter, 2016. "Die Interpretation des p-Wertes – Grundsätzliche Missverständnisse," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(5), pages 557-575, October.
    15. Schneider, Jesper W., 2013. "Caveats for using statistical significance tests in research assessments," Journal of Informetrics, Elsevier, vol. 7(1), pages 50-62.
    16. Nicholson, Alan, 2015. "Travel time reliability benefits: Allowing for correlation," Research in Transportation Economics, Elsevier, vol. 49(C), pages 14-21.
    17. Soyer, Emre & Hogarth, Robin M., 2012. "The illusion of predictability: How regression statistics mislead experts," International Journal of Forecasting, Elsevier, vol. 28(3), pages 695-711.
    18. Jumah, Adusei & Kunst, Robert M., 2008. "Optimizing Time-series Forecasts for Inflation and Interest Rates Using Simulation and Model Averaging," Economics Series 231, Institute for Advanced Studies.
    19. Andreas Schwab & Eric Abrahamson & William H. Starbuck & Fiona Fidler, 2011. "PERSPECTIVE---Researchers Should Make Thoughtful Assessments Instead of Null-Hypothesis Significance Tests," Organization Science, INFORMS, vol. 22(4), pages 1105-1120, August.
    20. Ahlburg, Dennis & Lindh, Thomas, 2007. "Long-run income forecasting," International Journal of Forecasting, Elsevier, vol. 23(4), pages 533-538.
    21. Jesper W. Schneider, 2015. "Null hypothesis significance tests. A mix-up of two different theories: the basis for widespread confusion and numerous misinterpretations," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 411-432, January.
    22. Yelland, Phillip M., 2010. "Bayesian forecasting of parts demand," International Journal of Forecasting, Elsevier, vol. 26(2), pages 374-396, April.
    23. Wright, Malcolm & Armstrong, J. Scott, 2007. "Verification of Citations: Fawlty Towers of Knowledge?," MPRA Paper 4149, University Library of Munich, Germany.
    24. Berger, Helge & Österholm, Pär, 2008. "Does money growth granger-cause inflation in the Euro Area? Evidence from output-of-sample forecasts using Bayesian VARs," Discussion Papers 2008/10, Free University Berlin, School of Business & Economics.
    25. Michael Vössing & Niklas Kühl & Matteo Lind & Gerhard Satzger, 2022. "Designing Transparency for Effective Human-AI Collaboration," Information Systems Frontiers, Springer, vol. 24(3), pages 877-895, June.
    26. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    27. Barrera, Carlos, 2013. "El sistema de predicción desagregada: Una evaluación de las proyecciones de inflación 2006-2011," Working Papers 2013-009, Banco Central de Reserva del Perú.
    28. Billstam, Maria & Frändén, Kristina & Samuelsson, Johan & Österholm, Pär, 2016. "Quasi-Real-Time Data of the Economic Tendency Survey," Working Papers 143, National Institute of Economic Research.
    29. Woodside, Arch G., 2020. "Interventions as experiments: Connecting the dots in forecasting and overcoming pandemics, global warming, corruption, civil rights violations, misogyny, income inequality, and guns," Journal of Business Research, Elsevier, vol. 117(C), pages 212-218.
    30. West, David & Dellana, Scott, 2011. "An empirical analysis of neural network memory structures for basin water quality forecasting," International Journal of Forecasting, Elsevier, vol. 27(3), pages 777-803, July.
    31. Green, Kesten C. & Armstrong, J. Scott, 2011. "Role thinking: Standing in other people's shoes to forecast decisions in conflicts," International Journal of Forecasting, Elsevier, vol. 27(1), pages 69-80, January.
    32. Cheng, Gang & Yang, Yuhong, 2015. "Forecast combination with outlier protection," International Journal of Forecasting, Elsevier, vol. 31(2), pages 223-237.
    33. Beechey, Meredith & Österholm, Pär, 2010. "Forecasting inflation in an inflation-targeting regime: A role for informative steady-state priors," International Journal of Forecasting, Elsevier, vol. 26(2), pages 248-264, April.
    34. Dantas, Tiago Mendes & Cyrino Oliveira, Fernando Luiz, 2018. "Improving time series forecasting: An approach combining bootstrap aggregation, clusters and exponential smoothing," International Journal of Forecasting, Elsevier, vol. 34(4), pages 748-761.
    35. Antipin, Jan-Erik & Boumediene, Farid Jimmy & Österholm, Pär, 2012. "Forecasting Inflation Using Constant Gain Least Squares," Working Papers 126, National Institute of Economic Research.
    36. Konstantinos Oikonomou & Dimitris Damigos, 2025. "Short term forecasting of base metals prices using a LightGBM and a LightGBM - ARIMA ensemble," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 38(1), pages 37-49, March.
    37. Raoufina, Karine, 2016. "Forecasting Employment Growth in Sweden Using a Bayesian VAR Model," Working Papers 144, National Institute of Economic Research.
    38. Litsiou, Konstantia & Polychronakis, Yiannis & Karami, Azhdar & Nikolopoulos, Konstantinos, 2022. "Relative performance of judgmental methods for forecasting the success of megaprojects," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1185-1196.
    39. Lucia Babalova & Marian Grendar & Egon Kurca & Stefan Sivak & Ema Kantorova & Katarina Mikulova & Pavel Stastny & Pavel Fasko & Kristina Szaboova & Peter Kubatka & Slavomir Nosal & Robert Mikulik & Vl, 2024. "Forecasting extremely high ischemic stroke incidence using meteorological time serie," PLOS ONE, Public Library of Science, vol. 19(9), pages 1-26, September.
    40. Kesten C. Green & J. Scott Armstrong, 2007. "The Ombudsman: Value of Expertise for Forecasting Decisions in Conflicts," Interfaces, INFORMS, vol. 37(3), pages 287-299, June.
    41. Nikolopoulos, Konstantinos & Litsa, Akrivi & Petropoulos, Fotios & Bougioukos, Vasileios & Khammash, Marwan, 2015. "Relative performance of methods for forecasting special events," Journal of Business Research, Elsevier, vol. 68(8), pages 1785-1791.
    42. Malcolm Wright & J. Scott Armstrong, 2008. "The Ombudsman: Verification of Citations: Fawlty Towers of Knowledge?," Interfaces, INFORMS, vol. 38(2), pages 125-139, April.

  12. Armstrong, J. Scott & Green, Kesten C. & Soon, Willie, 2007. "Polar Bear Population Forecasts: A Public-Policy Forecasting Audit," MPRA Paper 6317, University Library of Munich, Germany.

    Cited by:

    1. Steven C. Amstrup & Hal Caswell & Eric DeWeaver & Ian Stirling & David C. Douglas & Bruce G. Marcot & Christine M. Hunter, 2009. "Rebuttal of “Polar Bear Population Forecasts: A Public-Policy Forecasting Audit”," Interfaces, INFORMS, vol. 39(4), pages 353-369, August.
    2. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    3. Green, Kesten C & Armstrong, J Scott & Soon, Willie, 2008. "Benchmark forecasts for climate change," MPRA Paper 12163, University Library of Munich, Germany.

  13. Jones, Randall J. & Armstrong, J. Scott & Cuzan, Alfred G., 2007. "Forecasting elections using expert surveys: an application to U.S. presidential elections," MPRA Paper 5301, University Library of Munich, Germany.

    Cited by:

    1. Berg, Joyce E. & Nelson, Forrest D. & Rietz, Thomas A., 2008. "Prediction market accuracy in the long run," International Journal of Forecasting, Elsevier, vol. 24(2), pages 285-300.

  14. Wright, Malcolm & Armstrong, J. Scott, 2007. "Verification of Citations: Fawlty Towers of Knowledge?," MPRA Paper 4149, University Library of Munich, Germany.

    Cited by:

    1. Armstrong, J. Scott, 2007. "Significance Tests Harm Progress in Forecasting," MPRA Paper 81664, University Library of Munich, Germany.
    2. D. R. Amancio & M. G. V. Nunes & O. N. Oliveira & L. F. Costa, 2012. "Using complex networks concepts to assess approaches for citations in scientific papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 827-842, June.
    3. Jeong-Yoo Kim & Insik Min & Christian Zimmermann, 2011. "The Economics of Citation," Korean Economic Review, Korean Economic Association, vol. 27, pages 93-114.
    4. Matthias Ehrgott & Felix Reimann & Lutz Kaufmann & Craig Carter, 2011. "Social Sustainability in Selecting Emerging Economy Suppliers," Journal of Business Ethics, Springer, vol. 98(1), pages 99-119, January.

  15. Green, Kesten C. & Armstrong, J. Scott, 2007. "Global warming: Forecasts by scientists versus scientific forecasts," MPRA Paper 4361, University Library of Munich, Germany.

    Cited by:

    1. Hassani, Hossein & Silva, Emmanuel Sirimal & Gupta, Rangan & Das, Sonali, 2018. "Predicting global temperature anomaly: A definitive investigation using an ensemble of twelve competing forecasting models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 121-139.
    2. Steven C. Amstrup & Hal Caswell & Eric DeWeaver & Ian Stirling & David C. Douglas & Bruce G. Marcot & Christine M. Hunter, 2009. "Rebuttal of “Polar Bear Population Forecasts: A Public-Policy Forecasting Audit”," Interfaces, INFORMS, vol. 39(4), pages 353-369, August.
    3. Fildes, Robert & Kourentzes, Nikolaos, 2011. "Validation and forecasting accuracy in models of climate change," International Journal of Forecasting, Elsevier, vol. 27(4), pages 968-995, October.
    4. J. Scott Armstrong & Kesten C. Green & Willie Soon, 2008. "Polar Bear Population Forecasts: A Public-Policy Forecasting Audit," Interfaces, INFORMS, vol. 38(5), pages 382-405, October.
    5. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    6. David Etkin & J. Medalye & K. Higuchi, 2012. "Climate warming and natural disaster management: An exploration of the issues," Climatic Change, Springer, vol. 112(3), pages 585-599, June.
    7. Green, Kesten C & Armstrong, J Scott & Soon, Willie, 2008. "Benchmark forecasts for climate change," MPRA Paper 12163, University Library of Munich, Germany.

  16. Raymond Hubbard & JS Armstrong, 2005. "Are Null Results Becoming an Endangered Species in Marketing?," General Economics and Teaching 0502038, University Library of Munich, Germany.

    Cited by:

    1. Jones, Randall J. & Armstrong, J. Scott & Cuzan, Alfred G., 2007. "Forecasting elections using expert surveys: an application to U.S. presidential elections," MPRA Paper 5301, University Library of Munich, Germany.
    2. Raymond Hubbard & JS Armstrong, 2005. "Replications and Extensions in Marketing – Rarely Published But Quite Contrary," General Economics and Teaching 0502051, University Library of Munich, Germany.

  17. J. S. Armstrong, 2005. "Business School Prestige ^V Research versus Teaching," General Economics and Teaching 0502009, University Library of Munich, Germany.

    Cited by:

    1. JS Armstrong, 2005. "Quality Control Versus Innovation in Research on Marketing," General Economics and Teaching 0502050, University Library of Munich, Germany.
    2. J.S. Armstrong, 2005. "Are Student Ratings of Instruction Useful?," General Economics and Teaching 0502007, University Library of Munich, Germany.
    3. Julia Grant & Timothy Fogarty, 1998. "Faculty evaluation as a social dilemma: a game theoretic approach," Accounting Education, Taylor & Francis Journals, vol. 7(3), pages 225-248.

  18. J. S. Armstrong, 2005. "Decomposition by Causal Forces: A Procedure for Forecasting Complex Time Series," General Economics and Teaching 0502015, University Library of Munich, Germany.

    Cited by:

    1. Anqiang Huang & Kin Keung Lai & Han Qiao & Shouyang Wang & Zhenji Zhang, 2018. "Does Interval Knowledge Sharpen Forecasting Models? Evidence from China’s Typical Ports," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 467-483, March.
    2. Armstrong, J. Scott, 2006. "Findings from evidence-based forecasting: Methods for reducing forecast error," International Journal of Forecasting, Elsevier, vol. 22(3), pages 583-598.
    3. Germán Rubio Guerrero, 2017. "Perspectiva multivariante de los pronósticos en las pymes industriales de Ibagué (Colombia)," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, vol. 25(2), pages 25-40, September.
    4. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    5. Kirshners Arnis & Borisov Arkady, 2012. "A Comparative Analysis of Short Time Series Processing Methods," Information Technology and Management Science, Sciendo, vol. 15(1), pages 65-69, December.

  19. JS Armstrong & Randall L. Schultz, 2005. "Principles Involving Marketing Policies: An Empirical Assessment," General Economics and Teaching 0502037, University Library of Munich, Germany.

    Cited by:

    1. JS Armstrong, 2005. "Quality Control Versus Innovation in Research on Marketing," General Economics and Teaching 0502050, University Library of Munich, Germany.

  20. J. S. Armstrong, 2005. "Learner Responsibility in Management Education, or Ventures into Forbidden Research (with Comments)," General Economics and Teaching 0502012, University Library of Munich, Germany.

    Cited by:

    1. J.S. Armstrong, 2005. "Are Student Ratings of Instruction Useful?," General Economics and Teaching 0502007, University Library of Munich, Germany.
    2. J. S. Armstrong, 2005. "The Devil s Advocate Responds to an MBA Student s Claim that Research Harms Learning," General Economics and Teaching 0502008, University Library of Munich, Germany.
    3. JS Armstrong, 2004. "The Case for Minimum Teaching Standards," General Economics and Teaching 0412019, University Library of Munich, Germany.

  21. JS Armstrong, 2005. "Barriers to Scientific Contributions: The Author’s Formula," General Economics and Teaching 0502057, University Library of Munich, Germany.

    Cited by:

    1. JS Armstrong & Raymond Hubbard, 2005. "Does the Need for Agreement Among Reviewers Inhibit the Publication of Controversial Findings?," General Economics and Teaching 0502052, University Library of Munich, Germany.
    2. JS Armstrong, 2005. "Is Review By Peers As Fair As It Appears?," General Economics and Teaching 0502058, University Library of Munich, Germany.
    3. JS Armstrong, 2005. "The Importance of Objectivity and Falsification in Management Science," General Economics and Teaching 0502055, University Library of Munich, Germany.
    4. JS Armstrong, 2005. "Research on Scientific Journals: Implications for Editors and Authors," General Economics and Teaching 0502059, University Library of Munich, Germany.

  22. J. S. Armstrong & R. Brodie & S. McIntyre, 2005. "Forecasting Methods for Marketing:* Review of Empirical Research," General Economics and Teaching 0502023, University Library of Munich, Germany.

    Cited by:

    1. Kesten C. Green & J. Scott Armstrong, 2004. "Value of Expertise For Forecasting Decisions in Conflicts," Monash Econometrics and Business Statistics Working Papers 27/04, Monash University, Department of Econometrics and Business Statistics.

  23. JS Armstrong, 2005. "The Value of Formal Planning for Strategic Decisions: A Reply," General Economics and Teaching 0502065, University Library of Munich, Germany.

    Cited by:

    1. Saari Ahmad & Noraini Othman, 2013. "Strategic Planning, Issues, Prospects and the Future of the Malaysian Herbal Industry," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 3(4), pages 91-102, October.
    2. Phillips, Jon C. & Peterson, H. Christopher, 1999. "Strategic Planning And Firm Performance: A Proposed Theoretical Model For Small Agribusiness Firms," Staff Paper Series 11685, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    3. JS Armstrong, 2005. "Strategic Planning And Forecasting Fundamentals," General Economics and Teaching 0502066, University Library of Munich, Germany.
    4. Armstrong, J. Scott & Reibstein, David J., 1985. "Evidence on the Value of Strategic Planning in Marketing: How Much Planning Should a Marketing Planner Plan?," MPRA Paper 81680, University Library of Munich, Germany.
    5. Tewolde Melles Hagos & Gubán Pal, 2010. "The Means Of Analysis And Evaluation For Corporate Performances," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(12), pages 1-43.
    6. JS Armstrong, 2004. "Strategic Planning Improves Manufacturing Performance," General Economics and Teaching 0412033, University Library of Munich, Germany.
    7. Olivier Daxhelet & Olivier Witmeur, 2011. "What Financial Backers Expect from Business Plans: Effectual Versus Causal Logic," Working Papers CEB 11-029, ULB -- Universite Libre de Bruxelles.
    8. Gregory A. Baker & Joel K. Leidecker, 2001. "Does it pay to plan?: Strategic planning and financial performance," Agribusiness, John Wiley & Sons, Ltd., vol. 17(3), pages 355-364.

  24. J. S. Armstrong, 2005. "Forecasting by Extrapolation: Conclusions from 25 Years of Research," General Economics and Teaching 0502025, University Library of Munich, Germany.

    Cited by:

    1. Vokurka, Robert J. & Flores, Benito E. & Pearce, Stephen L., 1996. "Automatic feature identification and graphical support in rule-based forecasting: a comparison," International Journal of Forecasting, Elsevier, vol. 12(4), pages 495-512, December.
    2. Jaganathan, Srihari & Prakash, P.K.S., 2020. "A combination-based forecasting method for the M4-competition," International Journal of Forecasting, Elsevier, vol. 36(1), pages 98-104.
    3. Danese, Pamela & Kalchschmidt, Matteo, 2011. "The impact of forecasting on companies' performance: Analysis in a multivariate setting," International Journal of Production Economics, Elsevier, vol. 133(1), pages 458-469, September.
    4. Jerzy Witold Wiśniewski, 2021. "Forecasting in Small Business Management," Risks, MDPI, vol. 9(4), pages 1-17, April.
    5. Kweon, Young-Jun, 2010. "Data-driven reduction targets for a highway safety plan," Transport Policy, Elsevier, vol. 17(4), pages 230-239, August.
    6. JS Armstrong, 2004. "Research on Forecasting: A Quarter-Century Review, 1960-1984," General Economics and Teaching 0412006, University Library of Munich, Germany.
    7. Huang, Chun-Yao, 2012. "To model, or not to model: Forecasting for customer prioritization," International Journal of Forecasting, Elsevier, vol. 28(2), pages 497-506.
    8. Li, Shuying & Garces, Edwin & Daim, Tugrul, 2019. "Technology forecasting by analogy-based on social network analysis: The case of autonomous vehicles," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    9. Oesinghaus, Andreas, 2024. "Analysts’ extrapolative expectations in the cross-section," Journal of Economics and Business, Elsevier, vol. 130(C).
    10. Diamantopoulos, Adamantios & Winklhofer, Heidi, 2003. "Export sales forecasting by UK firms: Technique utilization and impact on forecast accuracy," Journal of Business Research, Elsevier, vol. 56(1), pages 45-54, January.
    11. Ashish Sood & Gareth M. James & Gerard J. Tellis, 2009. "Functional Regression: A New Model for Predicting Market Penetration of New Products," Marketing Science, INFORMS, vol. 28(1), pages 36-51, 01-02.
    12. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    13. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.
    14. Pathak, Pankaj & Srivastava, Rajiv Ranjan & Ojasvi,, 2017. "Assessment of legislation and practices for the sustainable management of waste electrical and electronic equipment in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 220-232.
    15. Gardner, Everette Jr., 2006. "Exponential smoothing: The state of the art--Part II," International Journal of Forecasting, Elsevier, vol. 22(4), pages 637-666.
    16. Ashish Sood & Gareth M. James & Gerard J. Tellis & Ji Zhu, 2012. "Predicting the Path of Technological Innovation: SAW vs. Moore, Bass, Gompertz, and Kryder," Marketing Science, INFORMS, vol. 31(6), pages 964-979, November.
    17. Arvydas Jadevicius & Brian Sloan & Andrew Brown, 2013. "Property Market Modelling and Forecasting: A Case for Simplicity," ERES eres2013_10, European Real Estate Society (ERES).

  25. JS Armstrong, 2005. "Is Review By Peers As Fair As It Appears?," General Economics and Teaching 0502058, University Library of Munich, Germany.

    Cited by:

    1. JS Armstrong & Estella Bee Dagum & Robert Fildes & Spyros Makridakis, 2005. "Publishing Standards for Research in Forecasting (Editorial)," General Economics and Teaching 0502054, University Library of Munich, Germany.
    2. JS Armstrong & Raymond Hubbard, 2005. "Does the Need for Agreement Among Reviewers Inhibit the Publication of Controversial Findings?," General Economics and Teaching 0502052, University Library of Munich, Germany.

  26. J. S. Armstrong, 2005. "The Devil s Advocate Responds to an MBA Student s Claim that Research Harms Learning," General Economics and Teaching 0502008, University Library of Munich, Germany.

    Cited by:

    1. Besancenot, Damien & Faria, Joao Ricardo & Vranceanu, Radu, 2009. "Why business schools do so much research: A signaling explanation," Research Policy, Elsevier, vol. 38(7), pages 1093-1101, September.
    2. Pfeffer, Jeffrey & Fong, Christina T., 2004. "The Business School "Business": Some Lessons from the U.S. Experience," Research Papers 1855, Stanford University, Graduate School of Business.

  27. J. Scott Armstrong & Kesten C. Green, 2005. "Demand Forecasting: Evidence-based Methods," Monash Econometrics and Business Statistics Working Papers 24/05, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Paunic, Alida, 2009. "I did it my way," MPRA Paper 17547, University Library of Munich, Germany.
    2. Yelland, Phillip M., 2010. "Bayesian forecasting of parts demand," International Journal of Forecasting, Elsevier, vol. 26(2), pages 374-396, April.
    3. Amiri, Arshia & Bakhshoodeh, Mohamad & Najafi, Bahaeddin, 2011. "Forecasting seasonality in prices of potatoes and onions: challenge between geostatistical models, neuro fuzzy approach and Winter method," MPRA Paper 34093, University Library of Munich, Germany.
    4. Bobinaite Viktorija & Zuters Jānis, 2016. "Modelling Electricity Price Expectations in a Day-Ahead Market: A Case of Latvia," Economics and Business, Sciendo, vol. 29(1), pages 12-26, August.
    5. Mkumbwa, Solomon S., 2011. "Cereal food commodities in Eastern Africa: consumption - production gap trends and projections for 2020," MPRA Paper 42113, University Library of Munich, Germany.

  28. J. S. Armstrong, 2005. "Damped Seasonality Factors: Introduction," General Economics and Teaching 0502014, University Library of Munich, Germany.

    Cited by:

    1. Svetunkov, Ivan & Chen, Huijing & Boylan, John E., 2023. "A new taxonomy for vector exponential smoothing and its application to seasonal time series," European Journal of Operational Research, Elsevier, vol. 304(3), pages 964-980.

  29. JS Armstrong & Philip D. Hutcherson, 2005. "Predicting The Outcome of Marketing Negotiations: Role-Playing versus Unaided Opinions," General Economics and Teaching 0502040, University Library of Munich, Germany.

    Cited by:

    1. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.

  30. JS Armstrong, 2005. "Advocacy and Objectivity in Science," General Economics and Teaching 0502060, University Library of Munich, Germany.

    Cited by:

    1. JS Armstrong, 2005. "Barriers to Scientific Contributions: The Author’s Formula," General Economics and Teaching 0502057, University Library of Munich, Germany.
    2. Armstrong, J. Scott & Lusk, Edward J., 1987. "Return Postage in Mail Surveys: A Meta Analysis," MPRA Paper 81693, University Library of Munich, Germany.
    3. John W. Boudreau, 2004. "50th Anniversary Article: Organizational Behavior, Strategy, Performance, and Design in Management Science," Management Science, INFORMS, vol. 50(11), pages 1463-1476, November.
    4. Steven M. Shugan, 2007. "The Editor's Secrets," Marketing Science, INFORMS, vol. 26(5), pages 589-595, 09-10.
    5. Mitchell J. Small & Ümit Güvenç & Michael L. DeKay, 2014. "When Can Scientific Studies Promote Consensus Among Conflicting Stakeholders?," Risk Analysis, John Wiley & Sons, vol. 34(11), pages 1978-1994, November.
    6. Vernuccio, Maria & Ceccotti, Federica, 2015. "Strategic and organisational challenges in the integrated marketing communication paradigm shift: A holistic vision," European Management Journal, Elsevier, vol. 33(6), pages 438-449.
    7. Francesca Faggioni & Marco Valerio Rossi & Andrea Sestino, 2024. "Conceptualizing Supply Chain Resilience in Exogenous Crisis Times: Toward a Holistic Definition," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 17308-17332, December.
    8. JS Armstrong, 2004. "Strategies for Implementing Change: An Experiential Approach," General Economics and Teaching 0412026, University Library of Munich, Germany.
    9. Woodside, Arch G. & Sharma, Manish, 2017. "Case-based modeling of prolific liars and constant truth-tellers: Who are the dishonesty and honesty self-reporters?," Journal of Business Research, Elsevier, vol. 71(C), pages 142-153.
    10. Steven M. Shugan, 2002. "The Mission of Marketing Science," Marketing Science, INFORMS, vol. 21(1), pages 1-13.
    11. JS Armstrong, 2005. "The Importance of Objectivity and Falsification in Management Science," General Economics and Teaching 0502055, University Library of Munich, Germany.
    12. JS Armstrong, 2005. "Research on Scientific Journals: Implications for Editors and Authors," General Economics and Teaching 0502059, University Library of Munich, Germany.

  31. Kesten C. Green & J. Scott Armstrong, 2005. "Competitor-oriented Objectives: The Myth of Market Share," Monash Econometrics and Business Statistics Working Papers 17/05, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Torsten J. Gerpott & Jan Berends, 2022. "Competitive pricing on online markets: a literature review," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(6), pages 596-622, December.
    2. Mai, Nhat Chi, 2022. "Strategic Management," OSF Preprints vauxf, Center for Open Science.
    3. Neil Bendle & Mark Vandenbosch, 2014. "Competitor Orientation and the Evolution of Business Markets," Marketing Science, INFORMS, vol. 33(6), pages 781-795, November.
    4. J. Scott Armstrong & Philippe Jacquart, 2013. "The Ombudsman: Is the Evidence Sufficient to Take Action on Executive Pay? Reply to Commentators," Interfaces, INFORMS, vol. 43(6), pages 602-604, December.
    5. de Villiers, Rouxelle & Woodside, Arch G. & Marshall, Roger, 2016. "Making tough decisions competently: Assessing the value of product portfolio planning methods, devil’s advocacy, group discussion, weighting priorities, and evidenced-based information," Journal of Business Research, Elsevier, vol. 69(8), pages 2849-2862.
    6. , 2024. "Effect of Marketing Strategies on the Performance of Agribusinesses in North-Central, Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(1), pages 993-1024, January.
    7. Woodside, Arch G., 2012. "Incompetency training: Theory, practice, and remedies," Journal of Business Research, Elsevier, vol. 65(3), pages 279-293.
    8. Engelbert J. Dockner & Steffen Jørgensen, 2018. "Strategic Rivalry for Market Share: A Contest Theory Approach to Dynamic Advertising Competition," Dynamic Games and Applications, Springer, vol. 8(3), pages 468-489, September.
    9. Gerasimos T. Soldatos, 2021. "A model of market competition as a prize contest or a model of strife for market domination," SN Business & Economics, Springer, vol. 1(1), pages 1-9, January.
    10. Hanno Drews, 2008. "Abschied vom Marktwachstums-Marktanteils-Portfolio nach über 35 Jahren Einsatz? Eine kritische Überprüfung der BCG-Matrix," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 19(1), pages 39-57, May.
    11. Ralph D. Snyder & J. Keith Ord & Anne B. Koehler & Keith R. McLaren & Adrian Beaumont, 2015. "Forecasting Compositional Time Series: A State Space Approach," Monash Econometrics and Business Statistics Working Papers 11/15, Monash University, Department of Econometrics and Business Statistics.
    12. Josep M. Argilés-Bosch & Josep Garcia-Blandón & Diego Ravenda & Mónica Martínez-Blasco, 2018. "An empirical analysis of the curvilinear relationship between slack and firm performance," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 29(3), pages 361-397, December.
    13. Brokesova, Zuzana & Deck, Cary & Peliova, Jana, 2014. "Experimenting with purchase history based price discrimination," International Journal of Industrial Organization, Elsevier, vol. 37(C), pages 229-237.
    14. Nippa, Michael, 2011. "Zur Notwendigkeit des Corporate Portfolio Management: Eine Würdigung der wissenschaftlichen Forschung der letzten vier Jahrzehnte," Freiberg Working Papers 2011/02, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.
    15. Mohamed Dahir Mohamed & Halima Hassan Mohamed & Abdiqathar Ahmed Jama & Christine Achot & Halima Abdi Dibit & Peterson Obara Magutu & Richard Bitange Nyaoga, 2019. "Information Systems Outsourcing Drivers And Service Delivery Of Commercial Banks In Kenya," Noble International Journal of Business and Management Research, Noble Academic Publsiher, vol. 3(1), pages 10-24, January.
    16. Chong, Josephine L.L, 2010. "Evaluating the impact of Arnould and Wallendorf's (1994) market-oriented ethnography," Journal of Business Research, Elsevier, vol. 63(12), pages 1295-1300, December.

  32. J.S. Armstrong, 2005. "Are Student Ratings of Instruction Useful?," General Economics and Teaching 0502007, University Library of Munich, Germany.

    Cited by:

    1. J.S. Armstrong, 2005. "Improving Learning at Universities: Who is Responsible?," General Economics and Teaching 0502006, University Library of Munich, Germany.

  33. Raymond Hubbard & JS Armstrong, 2005. "Replications and Extensions in Marketing – Rarely Published But Quite Contrary," General Economics and Teaching 0502051, University Library of Munich, Germany.

    Cited by:

    1. JS Armstrong, 2005. "Quality Control Versus Innovation in Research on Marketing," General Economics and Teaching 0502050, University Library of Munich, Germany.
    2. Ian Phau & Garick Kea, 2007. "Attitudes of University Students toward Business Ethics: A Cross-National Investigation of Australia, Singapore and Hong Kong," Journal of Business Ethics, Springer, vol. 72(1), pages 61-75, April.
    3. JS Armstrong & Roderick J. Brodie & Andrew G. Parsons, 2004. "Hypotheses in Marketing Science: Literature Review and Publication Audit," General Economics and Teaching 0412013, University Library of Munich, Germany.
    4. Raymond Hubbard & JS Armstrong, 2005. "Publication Bias Against Null Results," General Economics and Teaching 0502034, University Library of Munich, Germany.

  34. JS Armstrong, 2005. "Research on Scientific Journals: Implications for Editors and Authors," General Economics and Teaching 0502059, University Library of Munich, Germany.

    Cited by:

    1. JS Armstrong & Estella Bee Dagum & Robert Fildes & Spyros Makridakis, 2005. "Publishing Standards for Research in Forecasting (Editorial)," General Economics and Teaching 0502054, University Library of Munich, Germany.
    2. J. S. Armstrong, 2005. "Learner Responsibility in Management Education, or Ventures into Forbidden Research (with Comments)," General Economics and Teaching 0502012, University Library of Munich, Germany.
    3. JS Armstrong & Raymond Hubbard, 2005. "Does the Need for Agreement Among Reviewers Inhibit the Publication of Controversial Findings?," General Economics and Teaching 0502052, University Library of Munich, Germany.
    4. JS Armstrong, 2005. "The Value of Formal Planning for Strategic Decisions: A Reply," General Economics and Teaching 0502065, University Library of Munich, Germany.
    5. JS Armstrong, 2005. "Is Review By Peers As Fair As It Appears?," General Economics and Teaching 0502058, University Library of Munich, Germany.
    6. JS Armstrong, 2005. "The Importance of Objectivity and Falsification in Management Science," General Economics and Teaching 0502055, University Library of Munich, Germany.

  35. JS Armstrong & Raymond Hubbard, 2005. "Does the Need for Agreement Among Reviewers Inhibit the Publication of Controversial Findings?," General Economics and Teaching 0502052, University Library of Munich, Germany.

    Cited by:

    1. JS Armstrong, 2005. "Quality Control Versus Innovation in Research on Marketing," General Economics and Teaching 0502050, University Library of Munich, Germany.
    2. Kesten C. Green & J. Scott Armstrong, 2005. "Competitor-oriented Objectives: The Myth of Market Share," Monash Econometrics and Business Statistics Working Papers 17/05, Monash University, Department of Econometrics and Business Statistics.

  36. Fred Collopy & JS Armstrong, 2004. "Rule-Based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations," General Economics and Teaching 0412004, University Library of Munich, Germany.

    Cited by:

    1. Mohamed Gaber & Edward J. Lusk, 2019. "A Vetting Protocol for the Analytical Procedures Platform for the AP-Phase of PCAOB Audits," Accounting and Finance Research, Sciedu Press, vol. 8(4), pages 1-43, November.
    2. Cui, Can & Wu, Teresa & Hu, Mengqi & Weir, Jeffery D. & Li, Xiwang, 2016. "Short-term building energy model recommendation system: A meta-learning approach," Applied Energy, Elsevier, vol. 172(C), pages 251-263.
    3. Vokurka, Robert J. & Flores, Benito E. & Pearce, Stephen L., 1996. "Automatic feature identification and graphical support in rule-based forecasting: a comparison," International Journal of Forecasting, Elsevier, vol. 12(4), pages 495-512, December.
    4. Edward J. Lusk, 2019. "A Benchmarked Evaluation of a Selected CapitalCube Interval-Scaled Market Performance Variable," Accounting and Finance Research, Sciedu Press, vol. 8(2), pages 1-1, May.
    5. Edward J. Lusk, 2019. "Time Series Forecasting in Stock Trading Markets: The Turning Point Curiosity," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 8(4), pages 01-16, July.
    6. Anqiang Huang & Kin Keung Lai & Han Qiao & Shouyang Wang & Zhenji Zhang, 2018. "Does Interval Knowledge Sharpen Forecasting Models? Evidence from China’s Typical Ports," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 467-483, March.
    7. JS Armstrong & Fred Collopy, 2004. "Causal Forces: Structuring Knowledge for Time-series Extrapolation," General Economics and Teaching 0412003, University Library of Munich, Germany.
    8. Michael S. McPherson & Morton Owen Schapiro & Dennis Ahlburg, 1994. "Predicting Higher Education Enrollment in the United States: An Evaluation of Different Modelling Approaches," Williams Project on the Economics of Higher Education DP-26, Department of Economics, Williams College.
    9. Sanders, N. R., 1997. "The impact of task properties feedback on time series judgmental forecasting tasks," Omega, Elsevier, vol. 25(2), pages 135-144, April.
    10. Rakesh K. Sarin, 2013. "From the Editor ---Median Aggregation, Scoring Rules, Expert Forecasts, Choices with Binary Attributes, Portfolio with Dependent Projects, and Information Security," Decision Analysis, INFORMS, vol. 10(4), pages 277-278, December.
    11. Petropoulos, Fotios & Makridakis, Spyros & Assimakopoulos, Vassilios & Nikolopoulos, Konstantinos, 2014. "‘Horses for Courses’ in demand forecasting," European Journal of Operational Research, Elsevier, vol. 237(1), pages 152-163.
    12. Kusters, Ulrich & McCullough, B.D. & Bell, Michael, 2006. "Forecasting software: Past, present and future," International Journal of Forecasting, Elsevier, vol. 22(3), pages 599-615.
    13. Edward J. Lusk & Michael Halperin & Atanas Tetikov & Niya Stefanova, 2010. "Forecasting Financial Market Annual Performance Measures: Further Evidence +," American Journal of Economics and Business Administration, Science Publications, vol. 2(3), pages 300-306, September.
    14. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzán, Alfred G., 2014. "Combining forecasts: An application to elections," International Journal of Forecasting, Elsevier, vol. 30(1), pages 43-54.
    15. JS Armstrong, 2004. "Should We Redesign Forecasting Competitions?," General Economics and Teaching 0412001, University Library of Munich, Germany.
    16. JS Armstrong & Fred Collopy, 2004. "Integration of Statistical Methods and Judgment for Time Series," General Economics and Teaching 0412024, University Library of Munich, Germany.
    17. Armstrong, J. Scott, 2006. "Findings from evidence-based forecasting: Methods for reducing forecast error," International Journal of Forecasting, Elsevier, vol. 22(3), pages 583-598.
    18. Kang, Yanfei & Cao, Wei & Petropoulos, Fotios & Li, Feng, 2022. "Forecast with forecasts: Diversity matters," European Journal of Operational Research, Elsevier, vol. 301(1), pages 180-190.
    19. Welch, Eric & Bretschneider, Stuart & Rohrbaugh, John, 1998. "Accuracy of judgmental extrapolation of time series data: Characteristics, causes, and remediation strategies for forecasting," International Journal of Forecasting, Elsevier, vol. 14(1), pages 95-110, March.
    20. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    21. Evangelos Spiliotis & Fotios Petropoulos & Vassilios Assimakopoulos, 2023. "On the Disagreement of Forecasting Model Selection Criteria," Forecasting, MDPI, vol. 5(2), pages 1-12, June.
    22. Thiyanga S. Talagala & Feng Li & Yanfei Kang, 2019. "Feature-based Forecast-Model Performance Prediction," Monash Econometrics and Business Statistics Working Papers 21/19, Monash University, Department of Econometrics and Business Statistics.
    23. Armstrong, J. Scott, 1996. "Heuristics, biases and improvement strategies in judgmental time series : P. Goodwin and G. Wright, 1994, Omega, 22, 553-568," International Journal of Forecasting, Elsevier, vol. 12(2), pages 319-321, June.
    24. Everette S. Gardner, 1999. "Note: Rule-Based Forecasting vs. Damped-Trend Exponential Smoothing," Management Science, INFORMS, vol. 45(8), pages 1169-1176, August.
    25. Yuehjen Shao & Yue-Fa Lin & Soe-Tsyr Yuan, 1999. "Integrated application of time series multiple-interventions analysis and knowledge-based reasoning," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(6), pages 755-766.
    26. Adrian Gepp & Kuldeep Kumar & Sukanto Bhattacharya, 2010. "Business failure prediction using decision trees," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(6), pages 536-555.
    27. Ord, Keith & Hibon, Michele & Makridakis, Spyros, 2000. "The M3-Competition1," International Journal of Forecasting, Elsevier, vol. 16(4), pages 433-436.
    28. Zvi Schwartz & Timothy Webb & Jean-Pierre I van der Rest & Larissa Koupriouchina, 2021. "Enhancing the accuracy of revenue management system forecasts: The impact of machine and human learning on the effectiveness of hotel occupancy forecast combinations across multiple forecasting horizo," Tourism Economics, , vol. 27(2), pages 273-291, March.
    29. J. S. Armstrong & R. Brodie, 2005. "Forecasting for Marketing," General Economics and Teaching 0502018, University Library of Munich, Germany.
    30. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    31. Gardner Jr., Everette S. & Diaz-Saiz, Joaquin, 2008. "Exponential smoothing in the telecommunications data," International Journal of Forecasting, Elsevier, vol. 24(1), pages 170-174.
    32. Petropoulos, Fotios & Spiliotis, Evangelos & Panagiotelis, Anastasios, 2023. "Model combinations through revised base rates," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1477-1492.
    33. Dinesh Reddy Vangumalli & Konstantinos Nikolopoulos & Konstantia Litsiou, 2019. "Clustering, Forecasting and Cluster Forecasting: using k-medoids, k-NNs and random forests for cluster selection," Working Papers 19016, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    34. Talagala, Thiyanga S. & Li, Feng & Kang, Yanfei, 2022. "FFORMPP: Feature-based forecast model performance prediction," International Journal of Forecasting, Elsevier, vol. 38(3), pages 920-943.
    35. Robert Fildes & Gary Madden & Joachim Tan, 2007. "Optimal forecasting model selection and data characteristics," Applied Financial Economics, Taylor & Francis Journals, vol. 17(15), pages 1251-1264.
    36. Thomson, Mary E. & Pollock, Andrew C. & Gönül, M. Sinan & Önkal, Dilek, 2013. "Effects of trend strength and direction on performance and consistency in judgmental exchange rate forecasting," International Journal of Forecasting, Elsevier, vol. 29(2), pages 337-353.
    37. Goodwin, Paul, 2002. "Integrating management judgment and statistical methods to improve short-term forecasts," Omega, Elsevier, vol. 30(2), pages 127-135, April.
    38. Vinay Singh & Bhasker Choubey & Stephan Sauer, 2024. "Liquidity forecasting at corporate and subsidiary levels using machine learning," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 31(3), September.
    39. Vicki G. Morwitz & David C. Schmittlein, 1998. "Testing New Direct Marketing Offerings: The Interplay of Management Judgment and Statistical Models," Management Science, INFORMS, vol. 44(5), pages 610-628, May.
    40. Webby, Richard & O'Connor, Marcus, 1996. "Judgemental and statistical time series forecasting: a review of the literature," International Journal of Forecasting, Elsevier, vol. 12(1), pages 91-118, March.
    41. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    42. de Menezes, Lilian M. & W. Bunn, Derek & Taylor, James W., 2000. "Review of guidelines for the use of combined forecasts," European Journal of Operational Research, Elsevier, vol. 120(1), pages 190-204, January.
    43. Gardner, Everette S. & Anderson, Elizabeth A., 1997. "Focus forecasting reconsidered," International Journal of Forecasting, Elsevier, vol. 13(4), pages 501-508, December.
    44. Arvan, Meysam & Fahimnia, Behnam & Reisi, Mohsen & Siemsen, Enno, 2019. "Integrating human judgement into quantitative forecasting methods: A review," Omega, Elsevier, vol. 86(C), pages 237-252.
    45. Adya, Monica, 2000. "Corrections to rule-based forecasting: findings from a replication," International Journal of Forecasting, Elsevier, vol. 16(1), pages 125-127.
    46. Han, Weiwei & Wang, Xun & Petropoulos, Fotios & Wang, Jing, 2019. "Brain imaging and forecasting: Insights from judgmental model selection," Omega, Elsevier, vol. 87(C), pages 1-9.
    47. Bunn, Derek W., 1996. "Non-traditional methods of forecasting," European Journal of Operational Research, Elsevier, vol. 92(3), pages 528-536, August.
    48. Lawrence, M. & O'Connor, M., 1996. "Judgement or models: The importance of task differences," Omega, Elsevier, vol. 24(3), pages 245-254, June.
    49. Armstrong, J. Scott & Collopy, Fred & Yokum, J. Thomas, 2005. "Decomposition by causal forces: a procedure for forecasting complex time series," International Journal of Forecasting, Elsevier, vol. 21(1), pages 25-36.
    50. Mohamed Gaber & Edward J. Lusk, 2018. "Analytical Procedures Phase of PCAOB Audits: A Note of Caution in Selecting the Forecasting Model," Applied Finance and Accounting, Redfame publishing, vol. 4(1), pages 73-81, February.
    51. Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
    52. Qi, Lingzhi & Li, Xixi & Wang, Qiang & Jia, Suling, 2023. "fETSmcs: Feature-based ETS model component selection," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1303-1317.
    53. Jan G. de Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Tinbergen Institute Discussion Papers 05-068/4, Tinbergen Institute.
    54. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.
    55. Remus, William & O'Connor, Marcus & Griggs, Kenneth, 1995. "Does reliable information improve the accuracy of judgmental forecasts?," International Journal of Forecasting, Elsevier, vol. 11(2), pages 285-293, June.
    56. Fildes, Robert & Petropoulos, Fotios, 2015. "Simple versus complex selection rules for forecasting many time series," Journal of Business Research, Elsevier, vol. 68(8), pages 1692-1701.
    57. Assimakopoulos, V. & Nikolopoulos, K., 2000. "The theta model: a decomposition approach to forecasting," International Journal of Forecasting, Elsevier, vol. 16(4), pages 521-530.
    58. Francisco Martínez-Álvarez & Alicia Troncoso & Gualberto Asencio-Cortés & José C. Riquelme, 2015. "A Survey on Data Mining Techniques Applied to Electricity-Related Time Series Forecasting," Energies, MDPI, vol. 8(11), pages 1-32, November.
    59. Scott Moss & Bruce Edmonds & Steve Wallis, 1997. "Validation and Verification of Computational Models with Multiple Cognitive Agents," Discussion Papers 97-25, Manchester Metropolitan University, Centre for Policy Modelling.
    60. Adya, Monica & Collopy, Fred & Armstrong, J. Scott & Kennedy, Miles, 2001. "Automatic identification of time series features for rule-based forecasting," International Journal of Forecasting, Elsevier, vol. 17(2), pages 143-157.
    61. Fildes, Robert & Petropoulos, Fotios, 2013. "An evaluation of simple forecasting model selection rules," MPRA Paper 51772, University Library of Munich, Germany.
    62. Gardner, Everette Jr., 2006. "Exponential smoothing: The state of the art--Part II," International Journal of Forecasting, Elsevier, vol. 22(4), pages 637-666.
    63. Arora, Siddharth & Taylor, James W., 2018. "Rule-based autoregressive moving average models for forecasting load on special days: A case study for France," European Journal of Operational Research, Elsevier, vol. 266(1), pages 259-268.
    64. Graff, Mario & Peña, Rafael & Medina, Aurelio & Escalante, Hugo Jair, 2014. "Wind speed forecasting using a portfolio of forecasters," Renewable Energy, Elsevier, vol. 68(C), pages 550-559.
    65. Thiyanga S Talagala & Rob J Hyndman & George Athanasopoulos, 2018. "Meta-learning how to forecast time series," Monash Econometrics and Business Statistics Working Papers 6/18, Monash University, Department of Econometrics and Business Statistics.
    66. R Fildes & K Nikolopoulos & S F Crone & A A Syntetos, 2008. "Forecasting and operational research: a review," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1150-1172, September.
    67. Song, Haiyan & Gao, Bastian Z. & Lin, Vera S., 2013. "Combining statistical and judgmental forecasts via a web-based tourism demand forecasting system," International Journal of Forecasting, Elsevier, vol. 29(2), pages 295-310.
    68. Adya, Monica & Armstrong, J. Scott & Collopy, Fred & Kennedy, Miles, 2000. "An application of rule-based forecasting to a situation lacking domain knowledge," International Journal of Forecasting, Elsevier, vol. 16(4), pages 477-484.

  37. JS Armstrong, 2004. "Relative Accuracy of Judgmental and Extrapolative Methods in Forecasting Annual Earnings," General Economics and Teaching 0412007, University Library of Munich, Germany.

    Cited by:

    1. JS Armstrong & Fred Collopy, 2004. "Integration of Statistical Methods and Judgment for Time Series," General Economics and Teaching 0412024, University Library of Munich, Germany.

  38. JS Armstrong & Fred Collopy, 2004. "Effects of Objectives and Information on Managerial Decisions and Profitability," General Economics and Teaching 0412014, University Library of Munich, Germany.

    Cited by:

    1. Kesten C. Green & J. Scott Armstrong, 2005. "Competitor-oriented Objectives: The Myth of Market Share," Monash Econometrics and Business Statistics Working Papers 17/05, Monash University, Department of Econometrics and Business Statistics.
    2. Lance Brouthers & Dana-Nicoleta Lascu & Steve Werner, 2008. "Competitive Irrationality in Transitional Economies: Are Communist Managers Less Irrational?," Journal of Business Ethics, Springer, vol. 83(3), pages 397-408, December.
    3. Robert Meyer & Joachim Vosgerau & Vishal Singh & Joel Urbany & Gal Zauberman & Michael Norton & Tony Cui & Brian Ratchford & Alessandro Acquisti & David Bell & Barbara Kahn, 2010. "Behavioral research and empirical modeling of marketing channels: Implications for both fields and a call for future research," Marketing Letters, Springer, vol. 21(3), pages 301-315, September.

  39. Kesten C. Green & J. Scott Armstrong, 2004. "Value of Expertise For Forecasting Decisions in Conflicts," Monash Econometrics and Business Statistics Working Papers 27/04, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Kesten C. Green & J. Scott Armstrong, 2004. "Structured analogies for forecasting," Monash Econometrics and Business Statistics Working Papers 17/04, Monash University, Department of Econometrics and Business Statistics.
    2. Green, Kesten C. & Armstrong, J. Scott & Graefe, Andreas, 2007. "Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared," MPRA Paper 4663, University Library of Munich, Germany.
    3. Green, Kesten C., 2005. "Game theory, simulated interaction, and unaided judgement for forecasting decisions in conflicts: Further evidence," International Journal of Forecasting, Elsevier, vol. 21(3), pages 463-472.
    4. J. Scott Armstrong & Kesten C. Green, 2005. "Demand Forecasting: Evidence-based Methods," Monash Econometrics and Business Statistics Working Papers 24/05, Monash University, Department of Econometrics and Business Statistics.
    5. Green, Kesten C., 2008. "Assessing probabilistic forecasts about particular situations," MPRA Paper 8836, University Library of Munich, Germany.
    6. Green, Kesten C. & Armstrong, J. Scott, 2011. "Role thinking: Standing in other people's shoes to forecast decisions in conflicts," International Journal of Forecasting, Elsevier, vol. 27(1), pages 69-80, January.
    7. Nikolopoulos, Konstantinos & Litsa, Akrivi & Petropoulos, Fotios & Bougioukos, Vasileios & Khammash, Marwan, 2015. "Relative performance of methods for forecasting special events," Journal of Business Research, Elsevier, vol. 68(8), pages 1785-1791.
    8. António Brandão Moniz, 2012. "Avaliação participativa de tecnologia e sustentabilidade organizacional [Participative technology assessment and organisational sustainability]," IET Working Papers Series 06/2012, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology.
    9. Edieal J. Pinker, 2007. "An Analysis of Short-Term Responses to Threats of Terrorism," Management Science, INFORMS, vol. 53(6), pages 865-880, June.

  40. JS Armstrong, 2004. "Peer Review for Journals: Evidence on Quality Control, Fairness, and Innovation," General Economics and Teaching 0412027, University Library of Munich, Germany.

    Cited by:

    1. Jens Prüfer & David Zetland, 2010. "An auction market for journal articles," Public Choice, Springer, vol. 145(3), pages 379-403, December.
    2. Margit Osterloh & Bruno S. Frey, 2009. "Research governance in academia: are there alternatives to academic rankings?," IEW - Working Papers 423, Institute for Empirical Research in Economics - University of Zurich.
    3. Kesten C. Green & J. Scott Armstrong, 2005. "Competitor-oriented Objectives: The Myth of Market Share," Monash Econometrics and Business Statistics Working Papers 17/05, Monash University, Department of Econometrics and Business Statistics.
    4. Green, Kesten C. & Armstrong, J. Scott, 2012. "Evidence on the effects of mandatory disclaimers in advertising," MPRA Paper 37766, University Library of Munich, Germany.
    5. Libman, A., 2011. "German Economics: Mechanisms of Transformation," Journal of the New Economic Association, New Economic Association, issue 9, pages 129-149.
    6. Oswald, Andrew J., 2008. "Can We Test for Bias in Scientific Peer-Review?," IZA Discussion Papers 3665, Institute of Labor Economics (IZA).

  41. JS Armstrong, 2004. "Forecasting Methods for Conflict Situations," General Economics and Teaching 0412025, University Library of Munich, Germany.

    Cited by:

    1. Gunther Tichy, 2002. "Over-optimism Among Experts in Assessment and Foresight," ITA manu:scripts 02_05, Institute of Technology Assessment (ITA).
    2. J. S. Armstrong & R. Brodie & S. McIntyre, 2005. "Forecasting Methods for Marketing:* Review of Empirical Research," General Economics and Teaching 0502023, University Library of Munich, Germany.
    3. JS Armstrong & Philip D. Hutcherson, 2005. "Predicting The Outcome of Marketing Negotiations: Role-Playing versus Unaided Opinions," General Economics and Teaching 0502040, University Library of Munich, Germany.
    4. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.

  42. JS Armstrong & Roderick J. Brodie, 2004. "Portfolio Planning Methods: Faulty Approach or Faulty Research? A Rejoinder to 'Making Better Decisions' by Wensley," General Economics and Teaching 0412017, University Library of Munich, Germany.

    Cited by:

    1. Nippa, Michael, 2011. "Zur Notwendigkeit des Corporate Portfolio Management: Eine Würdigung der wissenschaftlichen Forschung der letzten vier Jahrzehnte," Freiberg Working Papers 2011/02, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.

  43. JS Armstrong, 2004. "Social Irresponsibility in Management," General Economics and Teaching 0412031, University Library of Munich, Germany.

    Cited by:

    1. Joern H. Block & Marcus Wagner, 2014. "The Effect of Family Ownership on Different Dimensions of Corporate Social Responsibility: Evidence from Large US Firms," Business Strategy and the Environment, Wiley Blackwell, vol. 23(7), pages 475-492, November.
    2. Christina Deselaers & Alina Dahmen & Sonia Lippke, 2022. "Impact of the COVID-19 Pandemic on CSR Activities of Healthcare Providers," IJERPH, MDPI, vol. 20(1), pages 1-27, December.
    3. Hans B. Christensen & Luzi Hail & Christian Leuz, 2021. "Mandatory CSR and sustainability reporting: economic analysis and literature review," Review of Accounting Studies, Springer, vol. 26(3), pages 1176-1248, September.
    4. Li, Jinhua & Liu, Li & Qing, Qiankai, 2022. "Differentiated consumer forgiveness for different corporate social irresponsibility domains: The moderating role of corporate reputation and patriotism," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).
    5. Stephanie Lu Wang & Dan Li, 2019. "Responding to public disclosure of corporate social irresponsibility in host countries: Information control and ownership control," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(8), pages 1283-1309, October.
    6. Windsor, Duane, 2013. "Corporate social responsibility and irresponsibility: A positive theory approach," Journal of Business Research, Elsevier, vol. 66(10), pages 1937-1944.
    7. Murphy, Patrick E. & Schlegelmilch, Bodo B., 2013. "Corporate social responsibility and corporate social irresponsibility: Introduction to a special topic section," Journal of Business Research, Elsevier, vol. 66(10), pages 1807-1813.
    8. Valeria Cavotta & Guido Palazzo & Antonino Vaccaro, 2023. "Mobilizing After Corporate Environmental Irresponsibility in a Community of Place: A Framing Microprocess Perspective," Journal of Business Ethics, Springer, vol. 182(4), pages 1155-1169, February.
    9. Rafael Alcadipani & Cíntia Rodrigues Oliveira Medeiros, 2020. "When Corporations Cause Harm: A Critical View of Corporate Social Irresponsibility and Corporate Crimes," Journal of Business Ethics, Springer, vol. 167(2), pages 285-297, November.
    10. Jie Wu, 2014. "The Antecedents of Corporate Social and Environmental Irresponsibility," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 21(5), pages 286-300, September.
    11. Lin-Hi, Nick & Müller, Karsten, 2013. "The CSR bottom line: Preventing corporate social irresponsibility," Journal of Business Research, Elsevier, vol. 66(10), pages 1928-1936.
    12. JS Armstrong, 2005. "Strategic Planning And Forecasting Fundamentals," General Economics and Teaching 0502066, University Library of Munich, Germany.
    13. Woodside, Arch G., 2012. "Incompetency training: Theory, practice, and remedies," Journal of Business Research, Elsevier, vol. 65(3), pages 279-293.
    14. Zhou, Ziyuan & Zhang, Xueying & Ki, Eyun-Jung, 2025. "When the accuser meets the accused: Exploring the role of nonprofit legitimacy and CSR reputation in corporate social irresponsibility," Journal of Business Research, Elsevier, vol. 186(C).
    15. Philippe Jacquart & J. Scott Armstrong, 2013. "The Ombudsman: Are Top Executives Paid Enough? An Evidence-Based Review," Interfaces, INFORMS, vol. 43(6), pages 580-589, December.
    16. Price, Joseph M. & Sun, Wenbin, 2017. "Doing good and doing bad: The impact of corporate social responsibility and irresponsibility on firm performance," Journal of Business Research, Elsevier, vol. 80(C), pages 82-97.
    17. JS Armstrong, 2005. "The Manager’s Dilemma: Role Conflict in Marketing," General Economics and Teaching 0502042, University Library of Munich, Germany.
    18. Armstrong, J. Scott & Green, Kesten C., 2013. "Effects of corporate social responsibility and irresponsibility policies," Journal of Business Research, Elsevier, vol. 66(10), pages 1922-1927.
    19. Christian Geisler Asmussen & Andrea Fosfuri & Marcus Møller Larsen & Grazia D. Santangelo, 2023. "Corporate social responsibility in the global value chain: A bargaining perspective," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 54(7), pages 1175-1192, September.
    20. Ignacio Ferrero & W. Michael Hoffman & Robert E. McNulty, 2012. "Must Milton Friedman Embrace Stakeholder Theory?," Faculty Working Papers 10/12, School of Economics and Business Administration, University of Navarra.
    21. Joseph Heath, 2008. "Business Ethics and Moral Motivation: A Criminological Perspective," Journal of Business Ethics, Springer, vol. 83(4), pages 595-614, December.
    22. Watkins, Alison & Hill, Ronald Paul, 2011. "Morality in marketing: Oxymoron or good business practice?," Journal of Business Research, Elsevier, vol. 64(8), pages 922-927, August.
    23. Putrevu, Sanjay & McGuire, Jean & Siegel, Donald S. & Smith, David M., 2012. "Corporate social responsibility, irresponsibility, and corruption: Introduction to the special section," Journal of Business Research, Elsevier, vol. 65(11), pages 1618-1621.
    24. Woodside, Arch G., 2000. "Announcing the First JBR Article Award for Exceptional Quality and High Scholarly Impact," Journal of Business Research, Elsevier, vol. 50(3), pages 233-234, December.
    25. JS Armstrong, 2004. "Forecasting Methods for Conflict Situations," General Economics and Teaching 0412025, University Library of Munich, Germany.
    26. Herzig, Christian & Moon, Jeremy, 2013. "Discourses on corporate social ir/responsibility in the financial sector," Journal of Business Research, Elsevier, vol. 66(10), pages 1870-1880.
    27. Arturo Luque & Noelia Herrero‐García, 2019. "How corporate social (ir)responsibility in the textile sector is defined, and its impact on ethical sustainability: An analysis of 133 concepts," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(6), pages 1285-1306, November.
    28. Fracarolli Nunes, Mauro & Lee Park, Camila & Shin, Hyunju, 2021. "Corporate social and environmental irresponsibilities in supply chains, contamination, and damage of intangible resources: A behavioural approach," International Journal of Production Economics, Elsevier, vol. 241(C).
    29. Green, Kesten C., 2002. "Forecasting decisions in conflict situations: a comparison of game theory, role-playing, and unaided judgement," International Journal of Forecasting, Elsevier, vol. 18(3), pages 321-344.
    30. Rezaee, Zabihollah & Zhou, Gaoguang & Bu, Luofan (Luther), 2024. "Corporate social irresponsibility and the occurrence of data breaches: A stakeholder management perspective," International Journal of Accounting Information Systems, Elsevier, vol. 53(C).
    31. Luciano Ciravegna & Federica Nieri, 2022. "Business and Human Rights: A Configurational View of the Antecedents of Human Rights Infringements by Emerging Market Firms," Journal of Business Ethics, Springer, vol. 179(2), pages 431-450, August.
    32. Najah Attig & Sean Cleary & Sadok Ghoul & Omrane Guedhami, 2014. "Corporate Legitimacy and Investment–Cash Flow Sensitivity," Journal of Business Ethics, Springer, vol. 121(2), pages 297-314, May.
    33. ManMohan S. Sodhi & Christopher S. Tang, 2016. "Supply chain opportunities at the bottom of the pyramid," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(2), pages 125-134, June.
    34. JS Armstrong, 2004. "The Panalba Role Playing Case," General Economics and Teaching 0412029, University Library of Munich, Germany.
    35. Jill A. Küberling-Jost, 2021. "Paths of Corporate Irresponsibility: A Dynamic Process," Journal of Business Ethics, Springer, vol. 169(3), pages 579-601, March.
    36. Qian Wang & Yongguang Zhong & Guangye Xu, 2019. "Optimal Decisions and Coordination in a Socially Responsible Supply Chain with Irresponsibility Risk," Sustainability, MDPI, vol. 11(24), pages 1-16, December.
    37. Maryam Philsoophian & Peyman Akhavan & Morteza Abbasi, 2021. "Strategic Alliance for Resilience in Supply Chain: A Bibliometric Analysis," Sustainability, MDPI, vol. 13(22), pages 1-25, November.
    38. Arnold, Denis G. & Valentin, Andres, 2013. "Corporate social responsibility at the base of the pyramid," Journal of Business Research, Elsevier, vol. 66(10), pages 1904-1914.
    39. Federica Nieri & Luciano Ciravegna, 2019. "Investigating firms' involvement in corporate social irresponsibility: Are family owned MNEs better corporate citizens?," Discussion Papers 2019/254, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    40. Anita Mendiratta & Shveta Singh & Surendra Singh Yadav & Arvind Mahajan, 2023. "Bibliometric and Topic Modeling Analysis of Corporate Social Irresponsibility," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 319-339, September.
    41. Xiaoyang Zhao & Jie Mi, 2024. "Firms’ corporate social irresponsibility behaviors during interplay with consumers in evolutionary game models," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
    42. María Iborra & Marta Riera, 2023. "Corporate social irresponsibility: What we know and what we need to know," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(3), pages 1421-1439, May.
    43. Stefan Walzel & Christopher Dick & Maximilian Brill & Gerhard Nowak, 2024. "Sustainability communications via sponsorship: Potential, characteristics and managerial challenges," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(4), pages 4284-4296, August.
    44. Abdelkebir Sahid & Yassine Maleh & Shahram Atashi Asemanjerdi & Pedro Antonio Martín-Cervantes, 2023. "A Bibliometric Analysis of the FinTech Agility Literature: Evolution and Review," IJFS, MDPI, vol. 11(4), pages 1-32, October.

  44. JS Armstrong, 2004. "The Seer-Sucker Theory: The Value of Experts in Forecasting," General Economics and Teaching 0412009, University Library of Munich, Germany.

    Cited by:

    1. J. S. Armstrong, 2005. "Review of Ravi Batra, The Great Depression of 1990 (Simon and Schuster, New York, 1985)," General Economics and Teaching 0502021, University Library of Munich, Germany.
    2. Ruan, Qingsong & Wang, Zilin & Zhou, Yaping & Lv, Dayong, 2020. "A new investor sentiment indicator (ISI) based on artificial intelligence: A powerful return predictor in China," Economic Modelling, Elsevier, vol. 88(C), pages 47-58.
    3. JS Armstrong, 2005. "Strategic Planning And Forecasting Fundamentals," General Economics and Teaching 0502066, University Library of Munich, Germany.
    4. Kesten C. Green & J. Scott Armstrong, 2004. "Value of Expertise For Forecasting Decisions in Conflicts," Monash Econometrics and Business Statistics Working Papers 27/04, Monash University, Department of Econometrics and Business Statistics.
    5. J. Scott Armstrong & Kesten C. Green & Willie Soon, 2008. "Polar Bear Population Forecasts: A Public-Policy Forecasting Audit," Interfaces, INFORMS, vol. 38(5), pages 382-405, October.

  45. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.

    Cited by:

    1. Green, Kesten C. & Armstrong, J. Scott, 2007. "Global warming: Forecasts by scientists versus scientific forecasts," MPRA Paper 4361, University Library of Munich, Germany.

  46. JS Armstrong, 2004. "Discovery and Communication of Important Marketing Findings: Evidence and Proposals," General Economics and Teaching 0412011, University Library of Munich, Germany.

    Cited by:

    1. Armstrong, J. Scott, 2003. "The value of surprising findings for research on marketing," Journal of Business Research, Elsevier, vol. 56(1), pages 91-92, January.
    2. Ulla A. Saari & Rupert J. Baumgartner & Saku J. Mäkinen, 2017. "Eco-Friendly Brands to Drive Sustainable Development: Replication and Extension of the Brand Experience Scale in a Cross-National Context," Sustainability, MDPI, vol. 9(7), pages 1-26, July.
    3. J. Scott Armstrong & Ruth Pagell, 2003. "The Ombudsman: Reaping Benefits from Management Research: Lessons from the Forecasting Principles Project," Interfaces, INFORMS, vol. 33(6), pages 91-111, December.
    4. Ravenswood, Katherine, 2011. "Eisenhardt's impact on theory in case study research," Journal of Business Research, Elsevier, vol. 64(7), pages 680-686, July.
    5. Ortinau, David J., 2011. "Writing and publishing important scientific articles: A reviewer's perspective," Journal of Business Research, Elsevier, vol. 64(2), pages 150-156, February.
    6. Khan, Jashim, 2011. "Validation in marketing experiments revisited," Journal of Business Research, Elsevier, vol. 64(7), pages 687-692, July.
    7. Walter Wymer, 2013. "The Influence of Marketing Scholarship’s Legacy on Nonprofit Marketing," IJFS, MDPI, vol. 1(3), pages 1-17, September.
    8. Geuens, Maggie, 2011. "Where does business research go from here? Food-for-thought on academic papers in business research," Journal of Business Research, Elsevier, vol. 64(10), pages 1104-1107, October.
    9. Lehmann, Donald R., 2003. "Finding important findings," Journal of Business Research, Elsevier, vol. 56(1), pages 89-90, January.
    10. Briggs, Elten & Jaramillo, Fernando & Weeks, William A., 2012. "Perceived barriers to career advancement and organizational commitment in sales," Journal of Business Research, Elsevier, vol. 65(7), pages 937-943.
    11. Siemens, Jennifer Christie & Burton, Scot & Jensen, Thomas & Mendoza, Norma A., 2005. "An examination of the relationship between research productivity in prestigious business journals and popular press business school rankings," Journal of Business Research, Elsevier, vol. 58(4), pages 467-476, April.
    12. Min, Kyeong Sam, 2014. "Reviewers are not perfect but could they try harder?," Journal of Business Research, Elsevier, vol. 67(9), pages 1967-1970.
    13. Saad, Gad, 2020. "The marketing of evolutionary psychology," Journal of Business Research, Elsevier, vol. 120(C), pages 485-491.
    14. Thomas Kenworthy & W. Edward McMullan, 2013. "Finding Practical Knowledge in Entrepreneurship," Entrepreneurship Theory and Practice, , vol. 37(5), pages 983-997, September.
    15. Thompson, Ann-Marie K., 2010. "Golder's historical method in research in marketing," Journal of Business Research, Elsevier, vol. 63(12), pages 1269-1272, December.
    16. Argouslidis, Paraskevas C., 2004. "An empirical investigation into the alternative strategies to implement the elimination of financial services," Journal of World Business, Elsevier, vol. 39(4), pages 393-413, November.
    17. Chong, Josephine L.L, 2010. "Evaluating the impact of Arnould and Wallendorf's (1994) market-oriented ethnography," Journal of Business Research, Elsevier, vol. 63(12), pages 1295-1300, December.
    18. Rossiter, John R., 2003. "Qualifying the importance of findings," Journal of Business Research, Elsevier, vol. 56(1), pages 85-88, January.
    19. Emile, Renu, 2011. "Retrospection on the impact of Wallendorf and Brucks' "Introspection in consumer research: Implementation and implications"," Journal of Business Research, Elsevier, vol. 64(2), pages 194-198, February.

  47. JS Armstrong, 2004. "Would Mandatory Attendance Be Effective for Economics Classes?," General Economics and Teaching 0412018, University Library of Munich, Germany.

    Cited by:

    1. J. S. Armstrong, 2005. "Review of: Predicting Presidential Elections and Other Things," General Economics and Teaching 0502016, University Library of Munich, Germany.

  48. JS Armstrong, 2004. "Teacher vs. Learner Responsibility in Management Education," General Economics and Teaching 0412020, University Library of Munich, Germany.

    Cited by:

    1. JS Armstrong, 2004. "The Case for Minimum Teaching Standards," General Economics and Teaching 0412019, University Library of Munich, Germany.
    2. JS Armstrong, 2004. "The Natural Learning Project," General Economics and Teaching 0412021, University Library of Munich, Germany.

  49. JS Armstrong & Roderick J. Brodie & Andrew G. Parsons, 2004. "Hypotheses in Marketing Science: Literature Review and Publication Audit," General Economics and Teaching 0412013, University Library of Munich, Germany.

    Cited by:

    1. JS Armstrong, 2004. "Should We Redesign Forecasting Competitions?," General Economics and Teaching 0412001, University Library of Munich, Germany.

  50. Kesten C. Green & J. Scott Armstrong, 2004. "Structured analogies for forecasting," Monash Econometrics and Business Statistics Working Papers 17/04, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Kang, Yanfei & Spiliotis, Evangelos & Petropoulos, Fotios & Athiniotis, Nikolaos & Li, Feng & Assimakopoulos, Vassilios, 2021. "Déjà vu: A data-centric forecasting approach through time series cross-similarity," Journal of Business Research, Elsevier, vol. 132(C), pages 719-731.
    2. Lu, Emiao & Handl, Julia & Xu, Dong-ling, 2018. "Determining analogies based on the integration of multiple information sources," International Journal of Forecasting, Elsevier, vol. 34(3), pages 507-528.
    3. Savio, Nicolas D. & Nikolopoulos, Konstantinos, 2013. "A strategic forecasting framework for governmental decision-making and planning," International Journal of Forecasting, Elsevier, vol. 29(2), pages 311-321.
    4. Spithourakis, Georgios P. & Petropoulos, Fotios & Nikolopoulos, Konstantinos & Assimakopoulos, Vassilios, 2015. "Amplifying the learning effects via a Forecasting and Foresight Support System," International Journal of Forecasting, Elsevier, vol. 31(1), pages 20-32.
    5. Akrivi LITSA & Fotios PETROPOULOS & Konstantinos NIKOLOPOULOS, 2012. "Forecasting the Success of Governmental "Incentivized" Initiatives: Case Study of a New Policy Promoting the Replacement of Old Household; Air-conditioners," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 2(1), pages 1-15, February.
    6. Piecyk, Maja I. & McKinnon, Alan C., 2010. "Forecasting the carbon footprint of road freight transport in 2020," International Journal of Production Economics, Elsevier, vol. 128(1), pages 31-42, November.
    7. Armstrong, J. Scott, 2006. "Findings from evidence-based forecasting: Methods for reducing forecast error," International Journal of Forecasting, Elsevier, vol. 22(3), pages 583-598.
    8. Michael R. Czinkota & Ilkka A. Ronkainen, 2009. "Trends and Indications in International Business," Management International Review, Springer, vol. 49(2), pages 249-265, April.
    9. Aysun Kapucugil Ikiz & Gizem Halil Utma, 2023. "Combined Forecasts of Intermittent Demand for Stock-keeping Units (SKUs)," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 9(1), pages 1-31, June.
    10. Philippe Jacquart & J. Scott Armstrong, 2013. "The Ombudsman: Are Top Executives Paid Enough? An Evidence-Based Review," Interfaces, INFORMS, vol. 43(6), pages 580-589, December.
    11. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    12. Konstantinos Nikolopoulos & Waleed S. Alghassab & Konstantia Litsiou & Stelios Sapountzis, 2019. "Long-Term Economic Forecasting with Structured Analogies and Interaction Groups," Working Papers 19018, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    13. J. Scott Armstrong & Kesten C. Green, 2005. "Demand Forecasting: Evidence-based Methods," Monash Econometrics and Business Statistics Working Papers 24/05, Monash University, Department of Econometrics and Business Statistics.
    14. Katsagounos, Ilias & Thomakos, Dimitrios D. & Litsiou, Konstantia & Nikolopoulos, Konstantinos, 2021. "Superforecasting reality check: Evidence from a small pool of experts and expedited identification," European Journal of Operational Research, Elsevier, vol. 289(1), pages 107-117.
    15. Li, Shuying & Garces, Edwin & Daim, Tugrul, 2019. "Technology forecasting by analogy-based on social network analysis: The case of autonomous vehicles," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    16. Green, Kesten C., 2008. "Assessing probabilistic forecasts about particular situations," MPRA Paper 8836, University Library of Munich, Germany.
    17. Lee, Wing Yee & Goodwin, Paul & Fildes, Robert & Nikolopoulos, Konstantinos & Lawrence, Michael, 2007. "Providing support for the use of analogies in demand forecasting tasks," International Journal of Forecasting, Elsevier, vol. 23(3), pages 377-390.
    18. Perera, H. Niles & Hurley, Jason & Fahimnia, Behnam & Reisi, Mohsen, 2019. "The human factor in supply chain forecasting: A systematic review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 574-600.
    19. Wright, Malcolm J. & Stern, Philip, 2015. "Forecasting new product trial with analogous series," Journal of Business Research, Elsevier, vol. 68(8), pages 1732-1738.
    20. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    21. Etienne Theising & Dominik Wied & Daniel Ziggel, 2023. "Reference class selection in similarity‐based forecasting of corporate sales growth," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1069-1085, August.
    22. Montes de Oca Munguia, Oscar & Pannell, David J. & Llewellyn, Rick & Stahlmann-Brown, Philip, 2021. "Adoption pathway analysis: Representing the dynamics and diversity of adoption for agricultural practices," Agricultural Systems, Elsevier, vol. 191(C).
    23. Green, Kesten C. & Armstrong, J. Scott, 2011. "Role thinking: Standing in other people's shoes to forecast decisions in conflicts," International Journal of Forecasting, Elsevier, vol. 27(1), pages 69-80, January.
    24. Schnaars, Steven, 2009. "Forecasting the future of technology by analogy—An evaluation of two prominent cases from the 20th century," Technology in Society, Elsevier, vol. 31(2), pages 187-195.
    25. Abolghasemi, Mahdi & Hurley, Jason & Eshragh, Ali & Fahimnia, Behnam, 2020. "Demand forecasting in the presence of systematic events: Cases in capturing sales promotions," International Journal of Production Economics, Elsevier, vol. 230(C).
    26. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    27. Litsiou, Konstantia & Polychronakis, Yiannis & Karami, Azhdar & Nikolopoulos, Konstantinos, 2022. "Relative performance of judgmental methods for forecasting the success of megaprojects," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1185-1196.
    28. Kesten C. Green & J. Scott Armstrong, 2007. "The Ombudsman: Value of Expertise for Forecasting Decisions in Conflicts," Interfaces, INFORMS, vol. 37(3), pages 287-299, June.
    29. Nikolopoulos, Konstantinos & Litsa, Akrivi & Petropoulos, Fotios & Bougioukos, Vasileios & Khammash, Marwan, 2015. "Relative performance of methods for forecasting special events," Journal of Business Research, Elsevier, vol. 68(8), pages 1785-1791.
    30. Jun, Seung-Pyo & Sung, Tae-Eung & Park, Hyun-Woo, 2017. "Forecasting by analogy using the web search traffic," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 37-51.
    31. Mauksch, Stefanie & von der Gracht, Heiko A. & Gordon, Theodore J., 2020. "Who is an expert for foresight? A review of identification methods," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    32. Solvoll, Gisle & Mathisen, Terje Andreas & Welde, Morten, 2020. "Forecasting air traffic demand for major infrastructure changes," Research in Transportation Economics, Elsevier, vol. 82(C).

  51. JS Armstrong, 2004. "Should We Redesign Forecasting Competitions?," General Economics and Teaching 0412001, University Library of Munich, Germany.

    Cited by:

    1. George Athanasopoulos & Rob J Hyndman & Haiyan Song & Doris C Wu, 2008. "The tourism forecasting competition," Monash Econometrics and Business Statistics Working Papers 10/08, Monash University, Department of Econometrics and Business Statistics, revised Oct 2009.

  52. JS Armstrong, 2004. "The Panalba Role Playing Case," General Economics and Teaching 0412029, University Library of Munich, Germany.

    Cited by:

    1. JS Armstrong, 2004. "Designing and Using Experiential Exercises," General Economics and Teaching 0412022, University Library of Munich, Germany.
    2. J. S. Armstrong, 2005. "Teacher vs. Learner Responsibility in Management Education," General Economics and Teaching 0502013, University Library of Munich, Germany.
    3. JS Armstrong, 2005. "The Manager’s Dilemma: Role Conflict in Marketing," General Economics and Teaching 0502042, University Library of Munich, Germany.
    4. JS Armstrong, 2004. "The Natural Learning Project," General Economics and Teaching 0412021, University Library of Munich, Germany.

  53. Robert Carbone & JS Armstrong, 2004. "Evaluation of Extrapolative Forecasting Methods: Results of a Survey of Academicians and Practitioners," General Economics and Teaching 0412008, University Library of Munich, Germany.

    Cited by:

    1. Fred Collopy & J. Scott Armstrong, 1992. "Rule-Based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations," Management Science, INFORMS, vol. 38(10), pages 1394-1414, October.
    2. JS Armstrong & Robert Fildes, 2004. "Correspondence On the Selection of Error Measures for Comparisons Among Forecasting Methods," General Economics and Teaching 0412002, University Library of Munich, Germany.

  54. JS Armstrong & Fred Collopy, 2004. "Causal Forces: Structuring Knowledge for Time-series Extrapolation," General Economics and Teaching 0412003, University Library of Munich, Germany.

    Cited by:

    1. JS Armstrong & Fred Collopy, 2004. "Integration of Statistical Methods and Judgment for Time Series," General Economics and Teaching 0412024, University Library of Munich, Germany.
    2. J. S. Armstrong & R. Brodie, 2005. "Forecasting for Marketing," General Economics and Teaching 0502018, University Library of Munich, Germany.
    3. Fred Collopy & J. Scott Armstrong, 1992. "Rule-Based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations," Management Science, INFORMS, vol. 38(10), pages 1394-1414, October.
    4. Armstrong, J. Scott & Collopy, Fred & Yokum, J. Thomas, 2005. "Decomposition by causal forces: a procedure for forecasting complex time series," International Journal of Forecasting, Elsevier, vol. 21(1), pages 25-36.
    5. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.

  55. Stephen Dakin & JS Armstrong, 2004. "Predicting job performance: A comparison of expert opinion and research findings," General Economics and Teaching 0412005, University Library of Munich, Germany.

    Cited by:

    1. JS Armstrong, 2004. "Discovery and Communication of Important Marketing Findings: Evidence and Proposals," General Economics and Teaching 0412011, University Library of Munich, Germany.
    2. Nikhil Kewal Krishna Mehta, 2021. "Synergistic Use of Bourdieu’s Theory of Practice, Queer Theories, and Employment Relation Theories: A Perspective for Sustainable Transgender Inclusion at the Workplace," Business Perspectives and Research, , vol. 9(1), pages 11-30, January.
    3. Jongchang Ahn & Soonki Jeong & Donghan Lee, 2023. "Research on the Items of Importance and Satisfaction for Employability in the Korean Information Communication Technology Sector," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    4. Philippe Jacquart & J. Scott Armstrong, 2013. "The Ombudsman: Are Top Executives Paid Enough? An Evidence-Based Review," Interfaces, INFORMS, vol. 43(6), pages 580-589, December.
    5. Oliver Fabel & Razvan Pascalau, 2007. "Recruitment of Overeducated Personnel: Insider-Outsider Effects on Fair Employee Selection Practices," TWI Research Paper Series 18, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    6. Oliver Fabel & Razvan Pascalau, 2013. "Recruitment of Seemingly Overeducated Personnel: Insider--Outsider Effects on Fair Employee Selection Practices," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 20(1), pages 57-82, February.
    7. Armstrong, J. Scott, 1996. "The validity of employment interviews: A comprehensive review and meta-analysis : Michael A. McDaniel, D.L. Whetzel, F.L. Schmidt and S.D. Maurer, 994, Journal of Applied Psychology, 79, 599-615," International Journal of Forecasting, Elsevier, vol. 12(2), pages 317-318, June.
    8. Armstrong, J. Scott, 1996. "Predicting insurance agent turnover using a video-based judgement test : Anthony T. Dalessio, 1994, Journal of Business an Psychology, 9, 23-32," International Journal of Forecasting, Elsevier, vol. 12(2), pages 322-323, June.
    9. Jongchang Ahn & Yirang Jang & Yoonki Rhee, 2022. "A Factor Exploration and Empirical Study on the Influence of the Fourth Industrial Revolution on Employment: Focus on Korean Sample," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
    10. Mauksch, Stefanie & von der Gracht, Heiko A. & Gordon, Theodore J., 2020. "Who is an expert for foresight? A review of identification methods," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    11. Md. Abdul Hamid, 2023. "Role of Waqf Management in Employment Generation: An Implication of Econometric Model," International Journal of Science and Business, IJSAB International, vol. 29(1), pages 104-118.

  56. JS Armstrong, 2004. "Designing and Using Experiential Exercises," General Economics and Teaching 0412022, University Library of Munich, Germany.

    Cited by:

    1. J. S. Armstrong, 2005. "Teacher vs. Learner Responsibility in Management Education," General Economics and Teaching 0502013, University Library of Munich, Germany.
    2. JS Armstrong, 2004. "The Natural Learning Project," General Economics and Teaching 0412021, University Library of Munich, Germany.

  57. JS Armstrong & Fred Collopy, 2004. "Integration of Statistical Methods and Judgment for Time Series," General Economics and Teaching 0412024, University Library of Munich, Germany.

    Cited by:

    1. JS Armstrong, 2004. "Should We Redesign Forecasting Competitions?," General Economics and Teaching 0412001, University Library of Munich, Germany.
    2. J. S. Armstrong & R. Brodie, 2005. "Forecasting for Marketing," General Economics and Teaching 0502018, University Library of Munich, Germany.
    3. J. Scott Armstrong & Kesten C. Green, 2005. "Demand Forecasting: Evidence-based Methods," Monash Econometrics and Business Statistics Working Papers 24/05, Monash University, Department of Econometrics and Business Statistics.
    4. J. S. Armstrong, 2005. "Review of: Predicting Presidential Elections and Other Things," General Economics and Teaching 0502016, University Library of Munich, Germany.
    5. Armstrong, J. Scott & Collopy, Fred & Yokum, J. Thomas, 2005. "Decomposition by causal forces: a procedure for forecasting complex time series," International Journal of Forecasting, Elsevier, vol. 21(1), pages 25-36.
    6. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.

  58. Armstrong, J. Scott, 2002. "Assessing Game Theory, Role Playing, and Unaided Judgment," MPRA Paper 81670, University Library of Munich, Germany.

    Cited by:

    1. Önkal, Dilek & Lawrence, Michael & Zeynep SayIm, K., 2011. "Influence of differentiated roles on group forecasting accuracy," International Journal of Forecasting, Elsevier, vol. 27(1), pages 50-68, January.
    2. Barry G. Silverman & Gnana Bharathy & Benjamin Nye & Tony Smith, 2008. "Modeling factions for ‘effects based operations’, part II: behavioral game theory," Computational and Mathematical Organization Theory, Springer, vol. 14(2), pages 120-155, June.
    3. Barry G. Silverman & Gnana Bharathy & Benjamin Nye & Roy J. Eidelson, 2007. "Modeling factions for “effects based operations”: part I—leaders and followers," Computational and Mathematical Organization Theory, Springer, vol. 13(4), pages 379-406, December.
    4. Anita Williams Woolley, 2011. "Playing Offense vs. Defense: The Effects of Team Strategic Orientation on Team Process in Competitive Environments," Organization Science, INFORMS, vol. 22(6), pages 1384-1398, December.
    5. Konstantinos Nikolopoulos & Waleed S. Alghassab & Konstantia Litsiou & Stelios Sapountzis, 2019. "Long-Term Economic Forecasting with Structured Analogies and Interaction Groups," Working Papers 19018, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    6. Ilukor, John & Birner, Regina, 2015. "Do Veterinary Paraprofessionals Provide Quality Clinical Veterinary Services for Cattle? Results from a Role Play Experiment in Rural Uganda," 2015 Conference, August 9-14, 2015, Milan, Italy 211781, International Association of Agricultural Economists.
    7. Önkal, Dilek & Lawrence, Michael & Zeynep Sayım, K., 2011. "Influence of differentiated roles on group forecasting accuracy," International Journal of Forecasting, Elsevier, vol. 27(1), pages 50-68.
    8. Barry G. Silverman & Daniel M. Silverman & Gnana Bharathy & Nathan Weyer & William R. Tam, 2021. "StateSim: lessons learned from 20 years of a country modeling and simulation toolset," Computational and Mathematical Organization Theory, Springer, vol. 27(3), pages 231-263, September.
    9. Önkal, Dilek & Zeynep Sayım, K. & Lawrence, Michael, 2012. "Wisdom of group forecasts: Does role-playing play a role?," Omega, Elsevier, vol. 40(6), pages 693-702.

  59. Armstrong, J. Scott & Morwitz, Vicki G. & Kumar, V., 2000. "Sales Forecasts for Existing Consumer Products and Services: Do Purchase Intentions Contribute to Accuracy?," MPRA Paper 81689, University Library of Munich, Germany.

    Cited by:

    1. Komal Nagar & Paramdeep Kour, 2018. "Measuring Young Consumers’ Response to Brand Scandals: A Brand Love Perspective," FIIB Business Review, , vol. 7(4), pages 304-315, December.
    2. Adrian Gheorghe ZUGRAVU & Ionica SOARE, 2015. "Social Aquaculture Model for Sustainable Rural Development," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 86-91.
    3. Adrian Gheorghe ZUGRAVU & Ionica SOARE, 2013. "Social Farming Rural Development Strategy," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 3, pages 54-60.
    4. Ji Wen & Xiaolin Mai & Wei Li & Xin Liu, 2022. "The Influence of Message Framing on Elderly Tourists’ Purchase Intentions of Health Services: A Case Study of Guangxi Bama," IJERPH, MDPI, vol. 19(21), pages 1-15, October.
    5. Takumi Kato, 2022. "Demand Prediction in the Automobile Industry Independent of Big Data," Annals of Data Science, Springer, vol. 9(2), pages 249-270, April.
    6. Leroux, Erick & Pupion, Pierre-Charles, 2018. "Factors of adoption of eco-labelling in hotel industry," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 194-209.
    7. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2011. "Forecasting U.S. car sales and car registrations in Japan: Rationality, accuracy and herding," Japan and the World Economy, Elsevier, vol. 23(4), pages 253-258.
    8. Gheorghe Adrian ZUGRAVU & Maria Magdalena TUREK RAHOVEANU, 2012. "The Trends and their Impact on Fishery Products Safety and Quality," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 87-94.
    9. Cecere, Grazia & Corrocher, Nicoletta & Guerzoni, Marco, 2018. "Price or performance? A probabilistic choice analysis of the intention to buy electric vehicles in European countries," Energy Policy, Elsevier, vol. 118(C), pages 19-32.
    10. Morwitz, Vicki G. & Steckel, Joel H. & Gupta, Alok, 2007. "When do purchase intentions predict sales?," International Journal of Forecasting, Elsevier, vol. 23(3), pages 347-364.
    11. Turek - Rahoveanu, Adrian & Andrei, Jean, 2012. "Agrarian Economy and Rural Development - realities and perspectives for Romania," MPRA Paper 41661, University Library of Munich, Germany.
    12. J. Scott Armstrong & Kesten C. Green, 2005. "Demand Forecasting: Evidence-based Methods," Monash Econometrics and Business Statistics Working Papers 24/05, Monash University, Department of Econometrics and Business Statistics.
    13. Dawne Skinner & John Blake, 2023. "Modelling consumers’ choice of novel food," PLOS ONE, Public Library of Science, vol. 18(8), pages 1-15, August.
    14. Kumar, V. & Nagpal, Anish & Venkatesan, Rajkumar, 2002. "Forecasting category sales and market share for wireless telephone subscribers: a combined approach," International Journal of Forecasting, Elsevier, vol. 18(4), pages 583-603.
    15. Zhao, Jinjing & Liu, Qing & Lee, Min-Kyu & Qi, Guanqiu & Liu, Yanfeng, 2024. "Consumers’ usage of errand delivery services: The effects of service quality and consumer perception," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
    16. Dey, Oindrila & Chakravarty, Debalina, 2020. "Electric Street Car as a Clean Public Transport Alternative: A Choice Experiment Approach," MPRA Paper 101000, University Library of Munich, Germany, revised Apr 2020.
    17. Mayukh Dass & Masoud Moradi & Fereshteh Zihagh, 2023. "Forecasting purchase rates of new products introduced in existing categories," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 385-408, September.
    18. Wan, Xiang & Sanders, Nadia R., 2017. "The negative impact of product variety: Forecast bias, inventory levels, and the role of vertical integration," International Journal of Production Economics, Elsevier, vol. 186(C), pages 123-131.
    19. Roper, Stuart & Parker, Cathy, 2013. "Doing well by doing good: A quantitative investigation of the litter effect," Journal of Business Research, Elsevier, vol. 66(11), pages 2262-2268.
    20. Sa-ngasoongsong, Akkarapol & Bukkapatnam, Satish T.S. & Kim, Jaebeom & Iyer, Parameshwaran S. & Suresh, R.P., 2012. "Multi-step sales forecasting in automotive industry based on structural relationship identification," International Journal of Production Economics, Elsevier, vol. 140(2), pages 875-887.
    21. Adrien Bernard Bonache & Marc Filser, 2013. "Comment améliorer la prévision des ventes pour le marketing ? Les apports de la théorie du chaos," Post-Print hal-03822792, HAL.
    22. Koert Van Ittersum, 2012. "The effect of decision makers’ time perspective on intention–behavior consistency," Marketing Letters, Springer, vol. 23(1), pages 263-277, March.
    23. Gheorghe Adrian ZUGRAVU & Ionica SOARE, 2012. "The Traceability and Safety of Fishery Products," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 3, pages 79-84.
    24. K. Balaji & R. Maheswari, 2021. "Impact of Store Image Dimensions on Shopper’s Attitude, Perceived Value, and Purchase Intention," SAGE Open, , vol. 11(1), pages 21582440219, February.
    25. Zugravu, Adrian Gheorghe & Turek Rahoveanu, Maria Magdalena & Moga, Liliana Mihaela & Neculita, Mihaela, 2014. "The price trend and their impact on profit margin and safety of the protein for feed in Romania," MPRA Paper 61746, University Library of Munich, Germany.
    26. Uz, Dilek & Mamkhezri, Jamal, 2024. "Household willingness to pay for various attributes of residential solar panels: Evidence from a discrete choice experiment," Energy Economics, Elsevier, vol. 130(C).
    27. Fildes, Robert & Kumar, V., 2002. "Telecommunications demand forecasting--a review," International Journal of Forecasting, Elsevier, vol. 18(4), pages 489-522.
    28. Horstmann, Felix, 2017. "Measuring the shopper's attitude toward the point of sale display: Scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 112-123.
    29. Junjie Lv & Zichen Wang & Yuqing Huang & Tong Wang & Yuanzhuo Wang, 2020. "How Can E-Commerce Businesses Implement Discount Strategies through Social Media?," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    30. Nguyen, Cathy & Faulkner, Margaret & Yang, Song & Williams, John & Tong, Luqiong, 2022. "Mind the gap: Understanding the gap between intentions and behaviour in the charity context," Journal of Business Research, Elsevier, vol. 148(C), pages 216-224.
    31. Reinoso-Carvalho, Felipe & Gunn, Laura & Molina, German & Narumi, Takuji & Spence, Charles & Suzuki, Yuji & ter Horst, Enrique & Wagemans, Johan, 2020. "A sprinkle of emotions vs a pinch of crossmodality: Towards globally meaningful sonic seasoning strategies for enhanced multisensory tasting experiences," Journal of Business Research, Elsevier, vol. 117(C), pages 389-399.
    32. Baghestani, Hamid, 2021. "Predicting growth in US durables spending using consumer durables-buying attitudes," Journal of Business Research, Elsevier, vol. 131(C), pages 327-336.
    33. Adrian Gheorghe Zugravu & Maria Magdalena Turek Rahoveanu & Adrian Turek Rahoveanu & Mohamed S. Khalel & Mostafa Abdel Rahman Ibrahim, 2016. "The Perception of Aquaponics Products in Romania," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 525-530.
    34. Agnieszka Bitkowska & Joanna Moczydłowska & Krystyna Leszczewska & Karol Karasiewicz & Joanna Sadkowska & Beata Żelazko, 2022. "Young Consumers’ Perceptions of Family Firms and Their Purchase Intentions—The Polish Experience," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    35. Sun, Baohong & Morwitz, Vicki G., 2010. "Stated intentions and purchase behavior: A unified model," International Journal of Research in Marketing, Elsevier, vol. 27(4), pages 356-366.

  60. Armstrong, J. Scott & Brodie, Roderick J., 1999. "Forecasting for Marketing," MPRA Paper 81690, University Library of Munich, Germany.

    Cited by:

    1. Borah, Abhishek & Rutz, Oliver, 2024. "Enhanced sales forecasting model using textual search data: Fusing dynamics with big data," International Journal of Research in Marketing, Elsevier, vol. 41(4), pages 632-647.
    2. Bonache, Adrien, 2008. "Les ventes de produits innovants à la mode sont-elles chaotiques? Le cas des ventes de Game Boy au Japon [Are innovative and fashion goods sales chaotic? The case of Game Boy sales in Japan]," MPRA Paper 12964, University Library of Munich, Germany.
    3. Jerzy Witold Wiśniewski, 2021. "Forecasting in Small Business Management," Risks, MDPI, vol. 9(4), pages 1-17, April.
    4. Jung, Sang Hoon & Jeong, Yong Jin, 2020. "Twitter data analytical methodology development for prediction of start-up firms’ social media marketing level," Technology in Society, Elsevier, vol. 63(C).
    5. Canback, Staffan & D'Agnese, Frank, 2007. "Where in the world is the market? : The income distribution approach to understanding consumer demand in emerging countries," MPRA Paper 13854, University Library of Munich, Germany.
    6. Bonaccorsi, Andrea & Apreda, Riccardo & Fantoni, Gualtiero, 2020. "Expert biases in technology foresight. Why they are a problem and how to mitigate them," Technological Forecasting and Social Change, Elsevier, vol. 151(C).

  61. Armstrong, J. Scott & Collopy, Fred, 1996. "Competitor Orientation: Effects of Objectives and Information on Managerial Decisions and Profitability," MPRA Paper 81676, University Library of Munich, Germany.

    Cited by:

    1. Yuji Honjo & Noriyuki Doi & Yasushi Kudo, 2018. "The Turnover of Market Leaders in Growing and Declining Industries: Evidence from Japan," Journal of Industry, Competition and Trade, Springer, vol. 18(2), pages 121-138, June.
    2. Kumar, V. & Anand, Ankit & Song, Hyunseok, 2017. "Future of Retailer Profitability: An Organizing Framework," Journal of Retailing, Elsevier, vol. 93(1), pages 96-119.
    3. Armstrong, J. Scott, 1997. "Review of Co-opetition by Adam M. Brandenburger and Barry J. Nalebuff," MPRA Paper 81675, University Library of Munich, Germany.
    4. Rajat Mishra & Randy Napier & Mahmut Yasar, 2019. "Do competitors respond to capacity changes? Evidence from U.S. manufacturers," Operations Management Research, Springer, vol. 12(3), pages 159-172, December.
    5. Coelho, Filipe J. & Evanschitzky, Heiner & Sousa, Carlos M.P. & Olya, Hossein & Taheri, Babak, 2021. "Control mechanisms, management orientations, and the creativity of service employees: Symmetric and asymmetric modeling," Journal of Business Research, Elsevier, vol. 132(C), pages 753-764.
    6. Delre, Sebastiano A. & Panico, Claudio & Wierenga, Berend, 2017. "Competitive strategies in the motion picture industry: An ABM to study investment decisions," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 69-99.
    7. Neil Bendle & Mark Vandenbosch, 2014. "Competitor Orientation and the Evolution of Business Markets," Marketing Science, INFORMS, vol. 33(6), pages 781-795, November.
    8. Frambach, Ruud T. & Fiss, Peer C. & Ingenbleek, Paul T.M., 2016. "How important is customer orientation for firm performance? A fuzzy set analysis of orientations, strategies, and environments," Journal of Business Research, Elsevier, vol. 69(4), pages 1428-1436.
    9. de Villiers, Rouxelle & Woodside, Arch G. & Marshall, Roger, 2016. "Making tough decisions competently: Assessing the value of product portfolio planning methods, devil’s advocacy, group discussion, weighting priorities, and evidenced-based information," Journal of Business Research, Elsevier, vol. 69(8), pages 2849-2862.
    10. JS Armstrong, 2004. "Discovery and Communication of Important Marketing Findings: Evidence and Proposals," General Economics and Teaching 0412011, University Library of Munich, Germany.
    11. Zhou, Kevin Zheng & Brown, James R. & Dev, Chekitan S., 2009. "Market orientation, competitive advantage, and performance: A demand-based perspective," Journal of Business Research, Elsevier, vol. 62(11), pages 1063-1070, November.
    12. Rhode, Paul & Stegeman, Mark, 2001. "Non-Nash equilibria of Darwinian dynamics with applications to duopoly," International Journal of Industrial Organization, Elsevier, vol. 19(3-4), pages 415-453, March.
    13. Kesten C. Green & J. Scott Armstrong, 2005. "Competitor-oriented Objectives: The Myth of Market Share," Monash Econometrics and Business Statistics Working Papers 17/05, Monash University, Department of Econometrics and Business Statistics.
    14. Hinterhuber, Andreas & Kienzler, Mario & Liozu, Stephan, 2021. "New product pricing in business markets: The role of psychological traits," Journal of Business Research, Elsevier, vol. 133(C), pages 231-241.
    15. Lim, Lewis K.S., 2013. "Mapping competitive prediction capability: Construct conceptualization and performance payoffs," Journal of Business Research, Elsevier, vol. 66(9), pages 1576-1586.
    16. Terry Clark & Thomas Martin Key & Carol Azab, 2023. "Contours of the marketing literature: Text, context, point-of-view, research horizons, interpretation, and influence in marketing," AMS Review, Springer;Academy of Marketing Science, vol. 13(3), pages 232-249, December.
    17. Lorenz Graf-Vlachy, 2019. "Like student like manager? Using student subjects in managerial debiasing research," Review of Managerial Science, Springer, vol. 13(2), pages 347-376, April.
    18. Woodside, Arch G., 2012. "Incompetency training: Theory, practice, and remedies," Journal of Business Research, Elsevier, vol. 65(3), pages 279-293.
    19. Li, Chu-Shiu & Lin, Chih Hao & Liu, Chwen-Chi & Woodside, Arch G., 2012. "Dynamic pricing in regulated automobile insurance markets with heterogeneous insurers: Strategies nice versus nasty for customers," Journal of Business Research, Elsevier, vol. 65(7), pages 968-976.
    20. Peyrot, Mark & Childs, Nancy & Van Doren, Doris & Allen, Kathleen, 2002. "An empirically based model of competitor intelligence use," Journal of Business Research, Elsevier, vol. 55(9), pages 747-758, September.
    21. Smulowitz, Stephen J. & Almandoz, Juan, 2021. "Predicting employee wrongdoing: The complementary effect of CEO option pay and the pay gap," Organizational Behavior and Human Decision Processes, Elsevier, vol. 162(C), pages 123-135.
    22. Holtrop, Niels & Wieringa, Jakob & Gijsenberg, Maarten & Stern, P., 2016. "Competitive reactions to personal selling," Research Report 16004-MARK, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    23. Mishra, Rajat & Rasheed, Abdul A. & Yasar, Mahmut & Napier, Randy & Nakkas, Alper, 2021. "Inventory positions in US manufacturing: A competitive dynamics approach," International Journal of Production Economics, Elsevier, vol. 238(C).
    24. Akie Iriyama & Rajiv Kishore & Debabrata Talukdar, 2016. "Playing dirty or building capability? Corruption and HR training as competitive actions to threats from informal and foreign firm rivals," Strategic Management Journal, Wiley Blackwell, vol. 37(10), pages 2152-2173, October.
    25. Rajat Mishra & Christopher J. McKenna, 2025. "The Role of Industry Concentration on Competitive Inventory-Management Behaviors: Evidence from U.S. Manufacturers," International Journal of Business and Management, Canadian Center of Science and Education, vol. 20(1), pages 1-12, February.
    26. Vandenbosch, Betty, 1999. "An empirical analysis of the association between the use of executive support systems and perceived organizational competitiveness," Accounting, Organizations and Society, Elsevier, vol. 24(1), pages 77-92, January.
    27. Avagyan, Vardan & Esteban-Bravo, Mercedes & Vidal-Sanz, Jose M., 2011. "Licensing radical product innovations to speed up the diffusion," DEE - Working Papers. Business Economics. WB wb113609, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    28. Dirk Totzek & Sascha Alavi, 2010. "Professionalisierung des Preismanagements auf Business-to-Business-Märkten: Die Rolle der Marktorientierung und der Unternehmenskultur," Schmalenbach Journal of Business Research, Springer, vol. 62(5), pages 533-562, August.
    29. Magadlene Mpandare & Guoxin Li, 2020. "Utilising Enterprise Social Media for Product Innovation: The Role of Market Orientation," Sustainability, MDPI, vol. 12(9), pages 1-24, May.
    30. Shakir Hafeez & Kinza Munaf & Komal Zahid & Madiha Tariq & Shaza Shabbir & Sana Khan, 2016. "Think Outside the Box and Move beyond the Market Share," International Review of Management and Marketing, Econjournals, vol. 6(4), pages 1048-1054.
    31. Lance Brouthers & Dana-Nicoleta Lascu & Steve Werner, 2008. "Competitive Irrationality in Transitional Economies: Are Communist Managers Less Irrational?," Journal of Business Ethics, Springer, vol. 83(3), pages 397-408, December.
    32. Charles Abramson & Imran S. Currim & Rakesh Sarin, 2005. "An Experimental Investigation of the Impact of Information on Competitive Decision Making," Management Science, INFORMS, vol. 51(2), pages 195-207, February.
    33. Som Sekhar Bhattacharyya, 2020. "Humanistic Orientation in Firm–Stakeholder Technology-based Interaction and Its Impact on Stakeholder Satisfaction," Emerging Economy Studies, International Management Institute, vol. 6(1), pages 86-105, May.
    34. Ball, Sheryl & Eckel, Catherine C., 1998. "The Economic Value of Status," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 24(4), pages 495-514.
    35. Ronald B. Larson, 2019. "Promoting demand-based pricing," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(1), pages 42-51, February.
    36. David J. Reibstein & Dick R. Wittink, 2005. "Competitive Responsiveness," Marketing Science, INFORMS, vol. 24(1), pages 8-11.
    37. Alok R. Saboo & Rajdeep Grewal, 2013. "Stock Market Reactions to Customer and Competitor Orientations: The Case of Initial Public Offerings," Marketing Science, INFORMS, vol. 32(1), pages 70-88, October.
    38. Waarts, E., 2004. "Competition:an inspirational marketing tool," ERIM Inaugural Address Series Research in Management EIA-2004-022-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam..
    39. Feng, Cong & Patel, Pankaj C. & Xiang, Kexin, 2020. "The well-trodden path: Complementing market and entrepreneurial orientation with a strategic emphasis to influence IPO survival in the United States," Journal of Business Research, Elsevier, vol. 110(C), pages 370-385.
    40. Graf, Lorenz & König, Andreas & Enders, Albrecht & Hungenberg, Harald, 2012. "Debiasing competitive irrationality: How managers can be prevented from trading off absolute for relative profit," European Management Journal, Elsevier, vol. 30(4), pages 386-403.
    41. Robert Meyer & Joachim Vosgerau & Vishal Singh & Joel Urbany & Gal Zauberman & Michael Norton & Tony Cui & Brian Ratchford & Alessandro Acquisti & David Bell & Barbara Kahn, 2010. "Behavioral research and empirical modeling of marketing channels: Implications for both fields and a call for future research," Marketing Letters, Springer, vol. 21(3), pages 301-315, September.
    42. Bruno Grbac & Ivana First, 2011. "Dynamics of market orientation in Croatian economy," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 29(2), pages 373-394.
    43. Claudine Gartenberg & Julie Wulf, 2017. "Pay Harmony? Social Comparison and Performance Compensation in Multibusiness Firms," Organization Science, INFORMS, vol. 28(1), pages 39-55, February.
    44. Roger Marshall & David Bibby & Na WoonBong, 2013. "Making Sense of Complex Marketing Decision Systems: Decision System Analysis," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 12(2), pages 121-130, December.
    45. Mesak, Hani Ibrahim & Bari, Abdullahel & Lian, Qin, 2015. "Pulsation in a competitive model of advertising-firm's cost interaction," European Journal of Operational Research, Elsevier, vol. 246(3), pages 916-926.
    46. Smulowitz, Stephen J. & Almandoz, Juan (“John”), 2021. "Reprint of “Predicting employee wrongdoing: The complementary effect of CEO option pay and the pay gap”," Organizational Behavior and Human Decision Processes, Elsevier, vol. 166(C), pages 104-116.
    47. Lin, Hung-Tso & Chang, Wen-Ling, 2008. "Order selection and pricing methods using flexible quantity and fuzzy approach for buyer evaluation," European Journal of Operational Research, Elsevier, vol. 187(2), pages 415-428, June.
    48. Zhou, Chenxi & Yu, Jibin, 2023. "Does it pay to withdraw marketing metrics disclosure? An empirical study of retailers’ cessation of monthly comparable-store sales," Journal of Business Research, Elsevier, vol. 156(C).
    49. Christian Homburg & Dominik M. Wielgos, 2022. "The value relevance of digital marketing capabilities to firm performance," Journal of the Academy of Marketing Science, Springer, vol. 50(4), pages 666-688, July.
    50. Lee, Yung-Kil & Park, Jin-Woo, 2016. "Impact of a sustainable brand on improving business performance of airport enterprises: The case of Incheon International Airport," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 46-53.
    51. Pilar Bernal & Juan P. Maicas & Pilar Vargas, 2016. "Exploration, exploitation and innovation performance: Disentangling environmental dynamism," Documentos de Trabajo dt2016-03, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    52. Driessen, P.H., 2005. "Green product innovation strategy," Other publications TiSEM f14c1bcc-f1bf-4637-b4a6-8, Tilburg University, School of Economics and Management.
    53. Rusetski, Alexander, 2014. "Pricing by intuition: Managerial choices with limited information," Journal of Business Research, Elsevier, vol. 67(8), pages 1733-1743.
    54. Frambach, Ruud T. & Prabhu, Jaideep & Verhallen, Theo M.M., 2000. "The influence of business strategy on new product activity : the mediating role of market orientation," Serie Research Memoranda 0034, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    55. Chao Hung Wang, 2020. "An environmental perspective extends market orientation: Green innovation sustainability," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 3123-3134, December.
    56. Pruyn, Ad & Riezebos, Rik, 2001. "Effects of the awareness of social dilemmas on advertising budget-setting: A scenario study," Journal of Economic Psychology, Elsevier, vol. 22(1), pages 43-60, February.

  62. Armstrong, J. Scott & Brodie, Roderick J., 1994. "Effects of portfolio planning methods on decision making: experimental results," MPRA Paper 81684, University Library of Munich, Germany.

    Cited by:

    1. Herbert Dawid & Marc Reimann, 2005. "Evaluating Market Attractiveness: Individual Incentives Versus Industry Profitability," Computational Economics, Springer;Society for Computational Economics, vol. 24(4), pages 321-355, June.
    2. Nudurupati, Sai Sudhakar & Bhattacharya, Arijit & Lascelles, David & Caton, Nicholas, 2015. "Strategic sourcing with multi-stakeholders through value co-creation: An evidence from global health care company," International Journal of Production Economics, Elsevier, vol. 166(C), pages 248-257.
    3. Florin Tudor Ionescu, 2011. "Boston Consulting Group II – A Business Portfolio Analysis Matrix," International Journal of Economic Practices and Theories, Academy of Economic Studies - Bucharest, Romania, vol. 1(2), pages 65-70, September.
    4. Juhi Gahlot Sarkar, 2019. "Managing brand strength in a brand portfolio: A conceptual analysis," Journal of Administrative and Business Studies, Professor Dr. Usman Raja, vol. 5(4), pages 219-227.
    5. de Villiers, Rouxelle & Woodside, Arch G. & Marshall, Roger, 2016. "Making tough decisions competently: Assessing the value of product portfolio planning methods, devil’s advocacy, group discussion, weighting priorities, and evidenced-based information," Journal of Business Research, Elsevier, vol. 69(8), pages 2849-2862.
    6. Paula Jarzabkowski & Sarah Kaplan, 2015. "Strategy tools-in-use: A framework for understanding “technologies of rationality” in practice," Strategic Management Journal, Wiley Blackwell, vol. 36(4), pages 537-558, April.
    7. JS Armstrong & Roderick J. Brodie, 2004. "Portfolio Planning Methods: Faulty Approach or Faulty Research? A Rejoinder to 'Making Better Decisions' by Wensley," General Economics and Teaching 0412017, University Library of Munich, Germany.
    8. JS Armstrong, 2004. "Discovery and Communication of Important Marketing Findings: Evidence and Proposals," General Economics and Teaching 0412011, University Library of Munich, Germany.
    9. Kesten C. Green & J. Scott Armstrong, 2005. "Competitor-oriented Objectives: The Myth of Market Share," Monash Econometrics and Business Statistics Working Papers 17/05, Monash University, Department of Econometrics and Business Statistics.
    10. Chang, Wen-Long & Chen, Shih-Ting, 2015. "The impact of World Café on entrepreneurial strategic planning capability," Journal of Business Research, Elsevier, vol. 68(6), pages 1283-1290.
    11. Woodside, Arch G., 2012. "Incompetency training: Theory, practice, and remedies," Journal of Business Research, Elsevier, vol. 65(3), pages 279-293.
    12. JS Armstrong & Fred Collopy, 2004. "Effects of Objectives and Information on Managerial Decisions and Profitability," General Economics and Teaching 0412014, University Library of Munich, Germany.
    13. Mohajan, Haradhan, 2015. "Present and Future of Nestlé Bangladesh Limited," MPRA Paper 82850, University Library of Munich, Germany, revised 05 Apr 2015.
    14. Wetzstein, Anton & Hartmann, Evi & Benton jr., W.C. & Hohenstein, Nils-Ole, 2016. "A systematic assessment of supplier selection literature – State-of-the-art and future scope," International Journal of Production Economics, Elsevier, vol. 182(C), pages 304-323.
    15. Hanno Drews, 2008. "Abschied vom Marktwachstums-Marktanteils-Portfolio nach über 35 Jahren Einsatz? Eine kritische Überprüfung der BCG-Matrix," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 19(1), pages 39-57, May.
    16. Mohajan, Haradhan, 2017. "An Analysis on BCG Growth Sharing Matrix," MPRA Paper 84237, University Library of Munich, Germany, revised 09 Dec 2017.
    17. Roger Marshall & David Bibby & Na WoonBong, 2013. "Making Sense of Complex Marketing Decision Systems: Decision System Analysis," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 12(2), pages 121-130, December.
    18. Nippa, Michael, 2011. "Zur Notwendigkeit des Corporate Portfolio Management: Eine Würdigung der wissenschaftlichen Forschung der letzten vier Jahrzehnte," Freiberg Working Papers 2011/02, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.
    19. Armstrong, J. Scott & Collopy, Fred, 1996. "Competitor Orientation: Effects of Objectives and Information on Managerial Decisions and Profitability," MPRA Paper 81676, University Library of Munich, Germany.

  63. Armstrong, J. Scott & Yokum, J. Thomas, 1994. "Effectiveness of Monetary Incentives: Mail Surveys to Members of Multinational Professional Groups," MPRA Paper 81691, University Library of Munich, Germany.

    Cited by:

    1. Jobber, David & Saunders, John & Mitchell, Vince-Wayne, 2004. "Prepaid monetary incentive effects on mail survey response," Journal of Business Research, Elsevier, vol. 57(1), pages 21-25, January.
    2. Li, Julie Juan, 2008. "How to retain local senior managers in international joint ventures: The effects of alliance relationship characteristics," Journal of Business Research, Elsevier, vol. 61(9), pages 986-994, September.
    3. J Saunders & D Jobber & V Mitchell, 2006. "The optimum prepaid monetary incentives for mail surveys," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(10), pages 1224-1230, October.

  64. Armstrong, J. Scott & Coviello, Nicole & Safranek, Barbara, 1993. "Escalation bias: does it extend to marketing?," MPRA Paper 81685, University Library of Munich, Germany.

    Cited by:

    1. Fattal, Deborah R. & Ben-Shaul, Avinoam, 1995. "Lipid chain packing and lipid-protein interaction in membranes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 220(1), pages 192-216.
    2. Bragger, Jennifer DeNicolis & Bragger, Donald & Hantula, Donald A. & Kirnan, Jean, 1998. "Hyteresis and Uncertainty: The Effect of Uncertainty on Delays to Exit Decisions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 74(3), pages 229-253, June.
    3. Robert Mayberry & James Sanders Boles & Naveen Donthu, 2018. "An escalation of commitment perspective on allocation-of-effort decisions in professional selling," Journal of the Academy of Marketing Science, Springer, vol. 46(5), pages 879-894, September.
    4. Białek Michał & Węgrzyn Michał & Meyers Ethan A., 2021. "Escalation of commitment is independent of numeracy and cognitive reflection. Failed replication and extension of Staw (1976)," Economics and Business Review, Sciendo, vol. 7(2), pages 5-16, June.
    5. Alejandro Montecinos‐Pearce & Pablo Rodrigo & Ignacio J. Duran, 2020. "When is escalation of commitment unstoppable in group settings? An iterative economic modeling approach to unveil the dark side of group decision‐making," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(8), pages 1387-1402, December.

  65. Armstrong, J. Scott, 1991. "Strategic Planning Improves Manufacturing Performance," MPRA Paper 81677, University Library of Munich, Germany.

    Cited by:

    1. P. Maik Hamann, 2017. "Towards a contingency theory of corporate planning: a systematic literature review," Management Review Quarterly, Springer, vol. 67(4), pages 227-289, August.
    2. McCarthy, Ian & Ridgway, Keith & Leseure, Michel & Fieller, Nick, 2000. "Organisational diversity, evolution and cladistic classifications," Omega, Elsevier, vol. 28(1), pages 77-95, February.

  66. Armstrong, J. Scott, 1991. "Prediction of Consumer Behavior by Experts and Novices," MPRA Paper 81687, University Library of Munich, Germany.

    Cited by:

    1. JS Armstrong, 2005. "Quality Control Versus Innovation in Research on Marketing," General Economics and Teaching 0502050, University Library of Munich, Germany.
    2. Małgorzata Łatuszyńska & Fatimah Furaiji & Agata Wawrzyniak, 2012. "An Empirical Study of the Factors Influencing Consumer Behaviour in the Electric Appliances Market," Contemporary Economics, Vizja University, vol. 6(3), September.
    3. JS Armstrong, 2004. "Discovery and Communication of Important Marketing Findings: Evidence and Proposals," General Economics and Teaching 0412011, University Library of Munich, Germany.
    4. Oleksandr Dorokhov & Liudmyla Dorokhova & Milica Delibasic & Justas Streimikis, 2017. "Consumer Behavior Modeling - Fuzzy Logic Model for Air Purifiers Choosing," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 13(4), pages 61-77.
    5. de Villiers, Rouxelle, 2015. "Consumer brand enmeshment: Typography and complexity modeling of consumer brand engagement and brand loyalty enactments," Journal of Business Research, Elsevier, vol. 68(9), pages 1953-1963.
    6. Armstrong, J. Scott, 2012. "Natural Learning in Higher Education," MPRA Paper 37648, University Library of Munich, Germany.
    7. Debra Jones Ringold, 2016. "Assumptions about Consumers, Producers, and Regulators: What They Tell Us about Ourselves," Journal of the Association for Consumer Research, University of Chicago Press, vol. 1(3), pages 341-354.
    8. Flostrand, Andrew, 2017. "Finding the future: Crowdsourcing versus the Delphi technique," Business Horizons, Elsevier, vol. 60(2), pages 229-236.
    9. Ozer, Muammer, 2007. "Reducing the demand uncertainties at the fuzzy-front-end of developing new online services," Research Policy, Elsevier, vol. 36(9), pages 1372-1387, November.
    10. Mohammad Farhan Khan & Farnaz Haider & Ahmed Al-Hmouz & Mohammad Mursaleen, 2021. "Development of an Intelligent Decision Support System for Attaining Sustainable Growth within a Life Insurance Company," Mathematics, MDPI, vol. 9(12), pages 1-22, June.

  67. Armstrong, J. Scott & Lusk, Edward J., 1987. "Return Postage in Mail Surveys: A Meta Analysis," MPRA Paper 81693, University Library of Munich, Germany.

    Cited by:

    1. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    2. Armstrong, J. Scott, 1996. "Heuristics, biases and improvement strategies in judgmental time series : P. Goodwin and G. Wright, 1994, Omega, 22, 553-568," International Journal of Forecasting, Elsevier, vol. 12(2), pages 319-321, June.
    3. Urquhart, Julie & Courtney, Paul, 2011. "Seeing the owner behind the trees: A typology of small-scale private woodland owners in England," Forest Policy and Economics, Elsevier, vol. 13(7), pages 535-544, September.
    4. Armstrong, J. Scott, 1990. "Class of Mail Does Affect Response Rates to Mailed Questionnaires: Evidence from Meta-analysis," MPRA Paper 81692, University Library of Munich, Germany.
    5. Susan I. Woodruff & Christine C. Edwards & Terry L. Conway, 1998. "Enhancing Response Rates To a Smoking Survey for Enlisted U.S. Navy Women," Evaluation Review, , vol. 22(6), pages 780-791, December.
    6. Ribisl, Kurt M. & Walton, Maureen A. & Mowbray, Carol T. & Luke, Douglas A. & Davidson, William S. & Bootsmiller, Bonnie J., 1996. "Minimizing participant attrition in panel studies through the use of effective retention and tracking strategies: Review and recommendations," Evaluation and Program Planning, Elsevier, vol. 19(1), pages 1-25, February.
    7. JS Armstrong, 2005. "Class of Mail Does Affect Response Rates to Mailed," General Economics and Teaching 0502039, University Library of Munich, Germany.
    8. Irena BA?LIJA, 2013. "Reconceptualisation Of Urban Management: Evidence From Eu Cities," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 8(1), pages 30-50, February.
    9. McMillan, Brian & Green, Josephine M. & Woolridge, Michael W. & Dyson, Lisa & Renfrew, Mary J. & Clarke, Graham P., 2009. "Studying the infant feeding intentions of pregnant women experiencing material deprivation: Methodology of the Looking at Infant Feeding Today (LIFT) study," Social Science & Medicine, Elsevier, vol. 68(5), pages 845-849, March.

  68. Armstrong, J. Scott & Reibstein, David J., 1985. "Evidence on the Value of Strategic Planning in Marketing: How Much Planning Should a Marketing Planner Plan?," MPRA Paper 81680, University Library of Munich, Germany.

    Cited by:

    1. Saari Ahmad & Noraini Othman, 2013. "Strategic Planning, Issues, Prospects and the Future of the Malaysian Herbal Industry," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 3(4), pages 91-102, October.
    2. J. Scott Armstrong & Philippe Jacquart, 2013. "The Ombudsman: Is the Evidence Sufficient to Take Action on Executive Pay? Reply to Commentators," Interfaces, INFORMS, vol. 43(6), pages 602-604, December.
    3. JS Armstrong, 2005. "The Value of Formal Planning for Strategic Decisions: A Reply," General Economics and Teaching 0502065, University Library of Munich, Germany.

  69. Armstrong, J. Scott, 1983. "Strategic Planning and Forecasting Fundamentals," MPRA Paper 81682, University Library of Munich, Germany.

    Cited by:

    1. Heckmann, Lotta & Memmel, Christoph, 2024. "How good are banks' forecasts?," Discussion Papers 03/2024, Deutsche Bundesbank.
    2. Armstrong, J. Scott & Reibstein, David J., 1985. "Evidence on the Value of Strategic Planning in Marketing: How Much Planning Should a Marketing Planner Plan?," MPRA Paper 81680, University Library of Munich, Germany.

  70. Armstrong, J. Scott, 1982. "The value of formal planning for strategic decisions: review of empirical research," MPRA Paper 81683, University Library of Munich, Germany.

    Cited by:

    1. Suzanne Pinson & Pavlos MoraÏtis, 1997. "An Intelligent Distributed System for Strategic Decision Making," Group Decision and Negotiation, Springer, vol. 6(1), pages 77-108, January.
    2. Juita-Elena Yusuf, 2012. "A tale of two exits: nascent entrepreneur learning activities and disengagement from start-up," Small Business Economics, Springer, vol. 39(3), pages 783-799, October.
    3. Josiane Fahed-Sreih & Abdul-Nasser El-Kassar, 2017. "Strategic Planning, Performance And Innovative Capabilities Of Non-Family Members In Family Businesses," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(07), pages 1-24, October.
    4. Troilo, Michael & Bouchet, Adrien & Urban, Timothy L. & Sutton, William A., 2016. "Perception, reality, and the adoption of business analytics: Evidence from North American professional sport organizations," Omega, Elsevier, vol. 59(PA), pages 72-83.
    5. Phillips, Jon C. & Peterson, H. Christopher, 1999. "Strategic Planning And Firm Performance: A Proposed Theoretical Model For Small Agribusiness Firms," Staff Paper Series 11685, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    6. Richard J. Arend & Y. Lisa Zhao & Michael Song & Subin Im, 2017. "Strategic planning as a complex and enabling managerial tool," Strategic Management Journal, Wiley Blackwell, vol. 38(8), pages 1741-1752, August.
    7. J. Scott Armstrong & Philippe Jacquart, 2013. "The Ombudsman: Is the Evidence Sufficient to Take Action on Executive Pay? Reply to Commentators," Interfaces, INFORMS, vol. 43(6), pages 602-604, December.
    8. José A. Avalo-Ortega & José L. Yagüe-Blanco & Arístides Vara-Horna & Guillermo Cangahuala Allain, 2020. "Mediation Effect of Adaptive Planning between Social Capital and Business Innovation: Application to a Community of Pisco Producers in Peru," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    9. Frezatti, Fabio & Aguiar, Andson B. & Guerreiro, Reinaldo & Gouvea, Maria A., 2011. "Does management accounting play role in planning process?," Journal of Business Research, Elsevier, vol. 64(3), pages 242-249, March.
    10. Gruber, Marc, 2007. "Uncovering the value of planning in new venture creation: A process and contingency perspective," Journal of Business Venturing, Elsevier, vol. 22(6), pages 782-807, November.
    11. Rogers, Patrick R. & Bamford, Charles E., 2002. "Information planning process and strategic orientation: the importance of fit in high-performing organizations," Journal of Business Research, Elsevier, vol. 55(3), pages 205-215, March.
    12. Jie Wu, 2014. "The Antecedents of Corporate Social and Environmental Irresponsibility," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 21(5), pages 286-300, September.
    13. Indounas, Kostis & Roth, Stefan, 2012. "Antecedents and consequences of strategic price management: An analysis in the New Zealand industrial service context," Australasian marketing journal, Elsevier, vol. 20(2), pages 113-121.
    14. Gregory A. Baker, 2003. "Strategic Planning and Financial Performance in the Food Processing Sector," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 25(2), pages 470-482.
    15. Gerald J. Gray & Paul V. Ellefson, 1991. "Statewide Strategic Forest Resource Planning Programs," Evaluation Review, , vol. 15(4), pages 441-454, August.
    16. Dibrell, Clay & Craig, Justin B. & Neubaum, Donald O., 2014. "Linking the formal strategic planning process, planning flexibility, and innovativeness to firm performance," Journal of Business Research, Elsevier, vol. 67(9), pages 2000-2007.
    17. JS Armstrong, 2005. "Strategic Planning And Forecasting Fundamentals," General Economics and Teaching 0502066, University Library of Munich, Germany.
    18. Armstrong, J. Scott & Reibstein, David J., 1985. "Evidence on the Value of Strategic Planning in Marketing: How Much Planning Should a Marketing Planner Plan?," MPRA Paper 81680, University Library of Munich, Germany.
    19. Martin Johanson & Luis Oliveira, 2024. "The Performance of Decision-Making Strategies in SME Internationalization: The Role of Host Market’s Institutional Development," Management International Review, Springer, vol. 64(2), pages 303-335, April.
    20. Lucrezia Songini & Paola Vola, 2015. "The Role of Professionalization and Managerialization in Family Business Succession," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2015(1), pages 9-43.
    21. Bouncken, Ricarda B. & Fredrich, Viktor & Pesch, Robin, 2016. "Configurational answer to the ongoing riddle of formal and/or emergent planning practices," Journal of Business Research, Elsevier, vol. 69(9), pages 3609-3615.
    22. Meissner, Philip & Wulf, Torsten, 2014. "Antecendents and effects of decision comprehensiveness: The role of decision quality and perceived uncertainty," European Management Journal, Elsevier, vol. 32(4), pages 625-635.
    23. Debarliev, Stojan & Trpkova, Marija, 2011. "Strategic planning practice in transition economies: Empirical evidence from the Macedonian context," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 4(01), pages 1-13, January.
    24. JS Armstrong, 2005. "The Value of Formal Planning for Strategic Decisions: A Reply," General Economics and Teaching 0502065, University Library of Munich, Germany.
    25. Krane, Ronja & Eulerich, Marc, 2020. "Going global: Factors influencing the internationalization of the internal audit function," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 41(C).
    26. Dvir, Dov & Lechler, Thomas, 2004. "Plans are nothing, changing plans is everything: the impact of changes on project success," Research Policy, Elsevier, vol. 33(1), pages 1-15, January.
    27. Samuel Y. Todd & Tamara A. Crook & Tony Lachowetz, 2013. "Agency Theory Explanations of Self-Serving Sales Forecast Inaccuracies," Business and Management Research, Business and Management Research, Sciedu Press, vol. 2(2), pages 13-21, June.
    28. Dr. Oloo Caroline, PhD, 2024. "Strategic Planning Impacts on the Performance Dynamics of Micro Enterprises in Kisumu County: An in-Depth Analysis," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(3), pages 219-232, March.
    29. JS Armstrong, 2004. "Strategic Planning Improves Manufacturing Performance," General Economics and Teaching 0412033, University Library of Munich, Germany.
    30. Charles R. Schwenk & Charles B. Shrader, 1993. "Effects of Formal Strategic Planning on Financial Performance in Small Firms: A Meta-Analysis," Entrepreneurship Theory and Practice, , vol. 17(3), pages 53-64, April.
    31. Giovanna Mariani & Davide Morelli & Leonardo Bartoloni, 2019. "Managing uncertainty in the start-up environment. Is a business plan an incentive or a limitation?," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2019(1), pages 73-96.
    32. Globocnik, Dietfried & Faullant, Rita & Parastuty, Zulaicha, 2020. "Bridging strategic planning and business model management – A formal control framework to manage business model portfolios and dynamics," European Management Journal, Elsevier, vol. 38(2), pages 231-243.
    33. Brock, David M. & Barry, David & Thomas, David C., 2000. ""Your forward is our reverse, your right, our wrong": rethinking multinational planning processes in light of national culture," International Business Review, Elsevier, vol. 9(6), pages 687-701, December.
    34. Johann Peter Murmann & Deepak Sardana, 2013. "Successful entrepreneurs minimize risk," Australian Journal of Management, Australian School of Business, vol. 38(1), pages 191-215, April.
    35. Brinckmann, Jan & Grichnik, Dietmar & Kapsa, Diana, 2010. "Should entrepreneurs plan or just storm the castle? A meta-analysis on contextual factors impacting the business planning-performance relationship in small firms," Journal of Business Venturing, Elsevier, vol. 25(1), pages 24-40, January.
    36. Chwolka, Anne & Raith, Matthias G., 2012. "The value of business planning before start-up — A decision-theoretical perspective," Journal of Business Venturing, Elsevier, vol. 27(3), pages 385-399.
    37. Mayer-Haug, Katrin & Read, Stuart & Brinckmann, Jan & Dew, Nicholas & Grichnik, Dietmar, 2013. "Entrepreneurial talent and venture performance: A meta-analytic investigation of SMEs," Research Policy, Elsevier, vol. 42(6), pages 1251-1273.
    38. Abbas Mohammed Hussein & Mohammed Mustafa Ahmed & Mohamed Yahya Mahmoud Khudari, 2021. "The Impact of Strategic Planning in the University’s Competitiveness According to NIAS," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 10, September.
    39. Titus Jr., Varkey K. & Covin, Jeffrey G. & Slevin, Dennis P., 2011. "Aligning strategic processes in pursuit of firm growth," Journal of Business Research, Elsevier, vol. 64(5), pages 446-453, May.
    40. Stojan Debarliev & Marija Trpkova, 2011. "Strategic planning practice in transition economies: Empirical evidence from the Macedonian context," Business and Economic Horizons (BEH), Prague Development Center, vol. 4(1), pages 27-39, January.
    41. Benny Wendry & Umar Nimran & Hamidah Nayati Utami & Tri Wulida Afrianty, 2023. "The role of good corporate governance in mediating the effect of planning, coordination, supervision, and organizational culture on firm performance and firm sustainability," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2509-2521, March.
    42. Rudd, John M. & Greenley, Gordon E. & Beatson, Amanda T. & Lings, Ian N., 2008. "Strategic planning and performance: Extending the debate," Journal of Business Research, Elsevier, vol. 61(2), pages 99-108, February.
    43. Olivier Daxhelet & Olivier Witmeur, 2011. "What Financial Backers Expect from Business Plans: Effectual Versus Causal Logic," Working Papers CEB 11-029, ULB -- Universite Libre de Bruxelles.
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    4. Simon Glöser-Chahoud & Johannes Hartwig & I. David Wheat & Martin Faulstich, 2016. "The cobweb theorem and delays in adjusting supply in metals' markets," System Dynamics Review, System Dynamics Society, vol. 32(3-4), pages 279-308, July.
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    6. Ashish Sood & Gareth M. James & Gerard J. Tellis, 2009. "Functional Regression: A New Model for Predicting Market Penetration of New Products," Marketing Science, INFORMS, vol. 28(1), pages 36-51, 01-02.
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    9. Scott Moss & Bruce Edmonds & Steve Wallis, 1997. "Validation and Verification of Computational Models with Multiple Cognitive Agents," Discussion Papers 97-25, Manchester Metropolitan University, Centre for Policy Modelling.

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    2509. Nitin Pangarkar & Jie Wu, 2013. "Alliance formation, partner diversity, and performance of Singapore startups," Asia Pacific Journal of Management, Springer, vol. 30(3), pages 791-807, September.
    2510. Krohmer, Harley & Homburg, Christian & Workman, John P., 2002. "Should marketing be cross-functional? Conceptual development and international empirical evidence," Journal of Business Research, Elsevier, vol. 55(6), pages 451-465, June.
    2511. Pablo Ruiz & Carmen Ruiz & Ricardo Martínez, 2011. "Improving the “Leader–Follower” Relationship: Top Manager or Supervisor? The Ethical Leadership Trickle-Down Effect on Follower Job Response," Journal of Business Ethics, Springer, vol. 99(4), pages 587-608, April.
    2512. Patrick Spieth & Tobias Röth & Thomas Clauss & Christoph Klos, 2021. "Technological Frames in the Digital Age: Theory, Measurement Instrument, and Future Research Areas," Journal of Management Studies, Wiley Blackwell, vol. 58(7), pages 1962-1993, November.
    2513. Catherine L. Wang, 2008. "Entrepreneurial Orientation, Learning Orientation, and Firm Performance," Entrepreneurship Theory and Practice, , vol. 32(4), pages 635-657, July.
    2514. Ioannis E. Diavastis & Konstantinos A. Chrysafis & Georgia C. Papadopoulou, 2024. "Determinants of Accounting Information Systems Success: The Case of the Greek Hotel Industry," IJFS, MDPI, vol. 12(2), pages 1-19, April.
    2515. Chao Hung Wang, 2020. "An environmental perspective extends market orientation: Green innovation sustainability," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 3123-3134, December.
    2516. Wang, Yuan & Modi, Sachin B. & Schoenherr, Tobias, 2021. "Leveraging sustainable design practices through supplier involvement in new product development: The role of the suppliers' environmental management capability," International Journal of Production Economics, Elsevier, vol. 232(C).
    2517. Pankaj Tiwari & B Suresha, 2021. "Moderating Role of Project Innovativeness on Project Flexibility, Project Risk, Project Performance, and Business Success in Financial Services," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(3), pages 179-196, September.
    2518. Maiga, Adam S. & Nilsson, Anders & Jacobs, Fred A., 2013. "Extent of managerial IT use, learning routines, and firm performance: A structural equation modeling of their relationship," International Journal of Accounting Information Systems, Elsevier, vol. 14(4), pages 297-320.
    2519. Daniel Degischer & Florian Bauer, 2014. "Integrating Acquired Resources and Capabilities," Human Capital without Borders: Knowledge and Learning for Quality of Life; Proceedings of the Management, Knowledge and Learning International Conference 2014,, ToKnowPress.
    2520. José Garrido-Samaniego, Ma. & María Gutiérrez-Arranz, A. & San José-Cabezudo, Rebeca, 2010. "Assessing the impact of e-procurement on the structure of the buying centre," International Journal of Information Management, Elsevier, vol. 30(2), pages 135-143.
    2521. Shockley, Jeff & Turner, Tobin, 2016. "A relational performance model for developing innovation and long-term orientation in retail franchise organizations," Journal of Retailing and Consumer Services, Elsevier, vol. 32(C), pages 175-188.
    2522. Prasad, Acklesh & Green, Peter, 2015. "Governing cloud computing services: Reconsideration of IT governance structures," International Journal of Accounting Information Systems, Elsevier, vol. 19(C), pages 45-58.
    2523. Jon Martin Denstadli & Tom Erik Julsrud, 2019. "Moving Towards Electrification of Workers’ Transportation: Identifying Key Motives for the Adoption of Electric Vans," Sustainability, MDPI, vol. 11(14), pages 1-19, July.
    2524. Thomas V. Scannell & Kenneth J. Peterson & Sime Curkovic, 2013. "The Value Contribution of Manufacturing Technology Suppliers," Journal of Business Administration Research, Journal of Business Administration Research, Sciedu Press, vol. 2(2), pages 39-49, October.
    2525. Bello, Daniel C. & Radulovich, Lori P. & Javalgi, Rajshekhar (Raj) G. & Scherer, Robert F. & Taylor, Jennifer, 2016. "Performance of professional service firms from emerging markets: Role of innovative services and firm capabilities," Journal of World Business, Elsevier, vol. 51(3), pages 413-424.
    2526. Suqin Liao & Qianying Hu & Jingjing Wei, 2023. "How to Leverage Big Data Analytic Capabilities for Innovation Ambidexterity: A Mediated Moderation Model," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    2527. Cadogan, John W. & Boso, Nathaniel & Story, Vicky M. & Adeola, Ogechi, 2016. "Export strategic orientation–performance relationship: Examination of its enabling and disenabling boundary conditions," Journal of Business Research, Elsevier, vol. 69(11), pages 5046-5052.
    2528. Guilding, Chris & Lamminmaki, Dawne & Drury, Colin, 1998. "Budgeting and standard costing practices in New Zealand and the United Kingdom," The International Journal of Accounting, Elsevier, vol. 33(5), pages 569-588.
    2529. Andreas Engelen & Jan Kemper & Malte Brettel, 2010. "Die Wirkung von operativen Marketing-Mix-Fähigkeiten auf den Unternehmenserfolg — Ein 4-Länder-Vergleich," Schmalenbach Journal of Business Research, Springer, vol. 62(7), pages 710-743, November.
    2530. Schweisfurth, Tim G. & Raasch, Christina, 2018. "Absorptive Capacity for Need Knowledge: Antecedents and Effects for Employee Innovativeness," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 47(4), pages 687-699.
    2531. Radia, Karan Nilesh & Purohit, Sonal & Desai, Shachi & Nenavani, Jitendra, 2022. "Psychological comfort in service relationships: A mixed-method approach," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    2532. Doucette, William R., 1997. "Influences on member commitment to group purchasing organizations," Journal of Business Research, Elsevier, vol. 40(3), pages 183-189, November.
    2533. Gökhan Akıncı & Lutfihak Alpkan & Bora Yıldız & Gaye Karacay, 2022. "The Link between Ambidextrous Leadership and Innovative Work Behavior in a Military Organization: The Moderating Role of Climate for Innovation," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    2534. Mellewigt, Thomas & Ehrmann, Thomas & Decker, Carolin, 2011. "How Does the Franchisor's Choice of Different Control Mechanisms Affect Franchisees’ and Employee-Managers’ Satisfaction?," Journal of Retailing, Elsevier, vol. 87(3), pages 320-331.
    2535. Tihic, Mirza & Hadzic, Muris & McKelvie, Alexander, 2021. "Social support and its effects on self-efficacy among entrepreneurs with disabilities," Journal of Business Venturing Insights, Elsevier, vol. 16(C).
    2536. Macedo, Isabel Maria & Pinho, José Carlos & Silva, Anabela Martins, 2016. "Revisiting the link between mission statements and organizational performance in the non-profit sector: The mediating effect of organizational commitment," European Management Journal, Elsevier, vol. 34(1), pages 36-46.
    2537. Zhu, Tengteng & Lin, Zhibin & Liu, Xin, 2023. "The future is now? Consumers' paradoxical expectations of human-like service robots," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    2538. Xingjun Ru & Min Chen & Shanyong Wang & Zhenling Chen, 2022. "Does environmental concern fail to predict energy-saving behavior? A study on the office energy-saving behavior of employees of Chinese Internet companies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12691-12711, November.
    2539. Chatterjee, Sheshadri & Rana, Nripendra P. & Dwivedi, Yogesh K. & Baabdullah, Abdullah M., 2021. "Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    2540. Rameshwar Dubey & Angappa Gunasekaran & Stephen J. Childe & Thanos Papadopoulos & Zongwei Luo & David Roubaud, 2020. "Upstream supply chain visibility and complexity effect on focal company’s sustainable performance: Indian manufacturers’ perspective," Annals of Operations Research, Springer, vol. 290(1), pages 343-367, July.
    2541. Amin, Mohammad Sakif & Arndt, Aaron D. & Tanner, Emily C., 2023. "Impact of stereotype threat on sales anxiety," Journal of Business Research, Elsevier, vol. 154(C).
    2542. Malcolm Wright & J. Scott Armstrong, 2008. "The Ombudsman: Verification of Citations: Fawlty Towers of Knowledge?," Interfaces, INFORMS, vol. 38(2), pages 125-139, April.
    2543. Jiang, Xu & Bao, Yongchuan & Xie, Yan & Gao, Shanxing, 2016. "Partner trustworthiness, knowledge flow in strategic alliances, and firm competitiveness: A contingency perspective," Journal of Business Research, Elsevier, vol. 69(2), pages 804-814.
    2544. Gang Wang & Xu Jiang & Chang-Hong Yuan & Ya-Qun Yi, 2013. "Managerial ties and firm performance in an emerging economy: Tests of the mediating and moderating effects," Asia Pacific Journal of Management, Springer, vol. 30(2), pages 537-559, June.
    2545. Jung Eon Kwon, 2022. "The Impact of Career Plateau on Job Burnout in the COVID-19 Pandemic: A Moderating Role of Regulatory Focus," IJERPH, MDPI, vol. 19(3), pages 1-16, January.
    2546. Ha, Sejin & Huang, Ran & Park, Jee-Sun, 2019. "Persuasive brand messages in social media: A mental imagery processing perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 41-49.
    2547. Schoenherr, Tobias & Narayanan, Sriram & Narasimhan, Ram, 2015. "Trust formation in outsourcing relationships: A social exchange theoretic perspective," International Journal of Production Economics, Elsevier, vol. 169(C), pages 401-412.
    2548. Surajit Bag & Muhammad Sabbir Rahman & Susmi Routray & Santosh Kumar Shrivastav & Soni Agrawal, 2024. "Exploring the potential of blockchain‐enabled smart contracts for achieving net‐zero emissions: An empirical study," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 3965-3985, July.
    2549. Gök, Osman & Peker, Sinem & Hacioglu, Gungor, 2015. "The marketing department’s reputation in the firm," European Management Journal, Elsevier, vol. 33(5), pages 366-380.
    2550. Zhunxin Huang & Zengrui Xiao, 2023. "Dynamic Capabilities, Environmental Management Capabilities, Stakeholder Pressure and Eco-Innovation of Chinese Manufacturing Firms: A Moderated Mediation Model," Sustainability, MDPI, vol. 15(9), pages 1-22, May.
    2551. Branka Ahlin & Mateja Drnovšek & Robert Hisrich, 2014. "Entrepreneurs’ creativity and firm innovation: the moderating role of entrepreneurial self-efficacy," Small Business Economics, Springer, vol. 43(1), pages 101-117, June.
    2552. Sean Valentine & Gary Fleischman & Lynn Godkin, 2018. "Villains, Victims, and Verisimilitudes: An Exploratory Study of Unethical Corporate Values, Bullying Experiences, Psychopathy, and Selling Professionals’ Ethical Reasoning," Journal of Business Ethics, Springer, vol. 148(1), pages 135-154, March.
    2553. Lee, Jeoung Yul & Xiao, Shufeng(Simon) & Choi, Byungchul, 2021. "Unpacking the drivers of emerging market firms’ international joint venture formation: The interplay between technological innovation strategies and home- and host-institutional pressures," Journal of Business Research, Elsevier, vol. 134(C), pages 378-392.
    2554. Engelen, Andreas & Schmidt, Susanne & Buchsteiner, Michael, 2015. "The Simultaneous Influence of National Culture and Market Turbulence on Entrepreneurial Orientation: A Nine-country Study," Journal of International Management, Elsevier, vol. 21(1), pages 18-30.
    2555. Maren Schlömer & Hendrik Wilhelm & Indre Maurer & Frank Wallau, 2013. "Die Wirkung dynamischer Fähigkeiten auf die Effektivität und Effizienz operativer Prozesse," Schmalenbach Journal of Business Research, Springer, vol. 65(3), pages 214-243, May.
    2556. Gu, Minhao & Yang, Lu & Huo, Baofeng, 2021. "The impact of information technology usage on supply chain resilience and performance: An ambidexterous view," International Journal of Production Economics, Elsevier, vol. 232(C).
    2557. Bag, Surajit & Yadav, Gunjan & Wood, Lincoln C. & Dhamija, Pavitra & Joshi, Sudhanshu, 2020. "Industry 4.0 and the circular economy: Resource melioration in logistics," Resources Policy, Elsevier, vol. 68(C).
    2558. Marta Fernández‐Olmos & Ana F. Gargallo‐Castel & Ruimin Wang, 2024. "The effects of business associations in the export–survival relationship: An application to the DOC Rioja wine industry," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 31-45, January.

  73. Armstrong, J. Scott, 1975. "Monetary incentives in mail surveys," MPRA Paper 81695, University Library of Munich, Germany.

    Cited by:

    1. Michael Bowling, J. & Rimer, Barbara K. & Lyons, Elizabeth J. & Golin, Carol E. & Frydman, Gilles & Ribisl, Kurt M., 2006. "Methodologic challenges of e-health research," Evaluation and Program Planning, Elsevier, vol. 29(4), pages 390-396, November.
    2. JS Armstrong, 2005. "Review of Don A. Dillman's Mail and Telephone Surveys, New York: John Wiley & Sons, 1978," General Economics and Teaching 0502043, University Library of Munich, Germany.
    3. Allyson L. Holbrook & Isabel C. Farrar & Susan J. Popkin, 2006. "Surveying a Chicago Public Housing Development," Evaluation Review, , vol. 30(6), pages 779-802, December.
    4. Jobber, David & Saunders, John & Mitchell, Vince-Wayne, 2004. "Prepaid monetary incentive effects on mail survey response," Journal of Business Research, Elsevier, vol. 57(4), pages 347-350, April.
    5. Collin Weigel & Laura A. Paul & Paul J. Ferraro & Kent D. Messer, 2021. "Challenges in Recruiting U.S. Farmers for Policy‐Relevant Economic Field Experiments," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(2), pages 556-572, June.
    6. Aleksandra Gajic & David Cameron & Jeremiah Hurley, 2012. "The cost-effectiveness of cash versus lottery incentives for a web-based, stated-preference community survey," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(6), pages 789-799, December.
    7. Armstrong, J. Scott & Yokum, J. Thomas, 1994. "Effectiveness of Monetary Incentives: Mail Surveys to Members of Multinational Professional Groups," MPRA Paper 81691, University Library of Munich, Germany.
    8. Michael W. Robbins & Geoffrey Grimm & Brian Stecher & V. Darleen Opfer, 2018. "A Comparison of Strategies for Recruiting Teachers Into Survey Panels," SAGE Open, , vol. 8(3), pages 21582440187, August.
    9. Uri Gneezy & Pedro Rey-Biel, "undated". "On the Relative Efficiency of Performance Pay and Social Incentives," Working Papers 585, Barcelona School of Economics.
    10. Jobber, David & Saunders, John & Mitchell, Vince-Wayne, 2004. "Prepaid monetary incentive effects on mail survey response," Journal of Business Research, Elsevier, vol. 57(1), pages 21-25, January.
    11. Basel Abdelazeem & Aboalmagd Hamdallah & Marwa Abdelazim Rizk & Kirellos Said Abbas & Nahla Ahmed El-Shahat & Nouraldeen Manasrah & Mostafa Reda Mostafa & Mostafa Eltobgy, 2023. "Does usage of monetary incentive impact the involvement in surveys? A systematic review and meta-analysis of 46 randomized controlled trials," PLOS ONE, Public Library of Science, vol. 18(1), pages 1-19, January.
    12. Rebecca L. Collins & Phyllis L. Ellickson & Ron D. Hays & Daniel F. Mccaffrey, 2000. "Effects of Incentive Size and Timing on Response Rates to a Follow-Up Wave of a Longitudinal Mailed Survey," Evaluation Review, , vol. 24(4), pages 347-363, August.
    13. J Saunders & D Jobber & V Mitchell, 2006. "The optimum prepaid monetary incentives for mail surveys," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(10), pages 1224-1230, October.
    14. Arvydas Jadevicius & Brian Sloan & Andrew Brown, 2013. "Property Market Modelling and Forecasting: A Case for Simplicity," ERES eres2013_10, European Real Estate Society (ERES).

  74. Armstrong, J. Scott & Shapiro, Alan C., 1974. "Analyzing Quantitative Models," MPRA Paper 81696, University Library of Munich, Germany.

    Cited by:

    1. Fildes, Robert & Petropoulos, Fotios, 2015. "Is there a Golden Rule?," Journal of Business Research, Elsevier, vol. 68(8), pages 1742-1745.
    2. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.

  75. Armstrong, J. Scott & C., Michael, 1972. "A Comparative Study of Methods for Long-Range Market Forecasting," MPRA Paper 81673, University Library of Munich, Germany.

    Cited by:

    1. Schnaubelt, Matthias, 2019. "A comparison of machine learning model validation schemes for non-stationary time series data," FAU Discussion Papers in Economics 11/2019, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    2. JS Armstrong, 2004. "Designing and Using Experiential Exercises," General Economics and Teaching 0412022, University Library of Munich, Germany.
    3. Davis, Donna F. & Mentzer, John T., 2007. "Organizational factors in sales forecasting management," International Journal of Forecasting, Elsevier, vol. 23(3), pages 475-495.
    4. Tessier, Thomas H. & Armstrong, J. Scott, 2015. "Decomposition of time-series by level and change," Journal of Business Research, Elsevier, vol. 68(8), pages 1755-1758.
    5. Armstrong, J Scott, 1978. "Forecasting with Econometric Methods: Folklore versus Fact," The Journal of Business, University of Chicago Press, vol. 51(4), pages 549-564, October.
    6. Collan, Mikael, 2004. "Giga-Investments: Modelling the Valuation of Very Large Industrial Real Investments," MPRA Paper 4328, University Library of Munich, Germany.
    7. Tashman, Leonard J., 2000. "Out-of-sample tests of forecasting accuracy: an analysis and review," International Journal of Forecasting, Elsevier, vol. 16(4), pages 437-450.
    8. Kott, Alexander & Perconti, Philip, 2018. "Long-term forecasts of military technologies for a 20–30 year horizon: An empirical assessment of accuracy," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 272-279.
    9. Suraj Kumar Bhagat, 2025. "Navigating the Challenges of Rainfall Variability: Precipitation Forecasting using Coalesce Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(5), pages 2251-2280, March.

  76. Armstrong, J. Scott & Overton, Terry, 1971. "Brief vs. comprehensive descriptions in measuring intentions to purchase," MPRA Paper 81697, University Library of Munich, Germany.

    Cited by:

    1. Handan ÇAM, 2016. "The Role of Information Technology in Patient Satisfaction," Turkish Economic Review, KSP Journals, vol. 3(1), pages 91-102, March.
    2. Chenli Meng & Yuhui Ge & Eugene Abrokwah, 2020. "Developing Sustainable Decision Performance for Science and Technology Industries in China," Sustainability, MDPI, vol. 12(5), pages 1-16, March.
    3. J. S. Armstrong & R. Brodie, 2005. "Forecasting for Marketing," General Economics and Teaching 0502018, University Library of Munich, Germany.
    4. Haiyang Li & Jun Li, 2009. "Top management team conflict and entrepreneurial strategy making in China," Asia Pacific Journal of Management, Springer, vol. 26(2), pages 263-283, June.
    5. Kannan Srikanth & Anand Nandkumar & Deepa Mani & Prashant Kale, 2020. "How Firms Build Isolating Mechanisms for Knowledge: A Study in Offshore Research and Development Captives," Strategy Science, INFORMS, vol. 5(2), pages 98-116, June.
    6. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    7. Pornpitakpan, Chanthika & Han, Jie Hui, 2013. "The effect of culture and salespersons’ retail service quality on impulse buying," Australasian marketing journal, Elsevier, vol. 21(2), pages 85-93.
    8. Armstrong, J. Scott, 1975. "Monetary incentives in mail surveys," MPRA Paper 81695, University Library of Munich, Germany.

  77. Armstrong, J. Scott, 1970. "How to avoid exploratory research," MPRA Paper 81666, University Library of Munich, Germany.

    Cited by:

    1. Kaya, Bahar & Abubakar, A. Mohammed & Behravesh, Elaheh & Yildiz, Harun & Mert, Ibrahim Sani, 2020. "Antecedents of innovative performance: Findings from PLS-SEM and fuzzy sets (fsQCA)," Journal of Business Research, Elsevier, vol. 114(C), pages 278-289.
    2. Per Davidsson, 2016. "This Thing Called “Theory”," International Studies in Entrepreneurship, in: Researching Entrepreneurship, edition 2, chapter 3, pages 41-73, Springer.
    3. Hopkins, Lucas & Ferguson, Keith E., 2014. "Looking forward: The role of multiple regression in family business research," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 52-62.
    4. Olya, Hossein G.T. & Altinay, Levent, 2016. "Asymmetric modeling of intention to purchase tourism weather insurance and loyalty," Journal of Business Research, Elsevier, vol. 69(8), pages 2791-2800.
    5. Roger Owusu-Boafo & Ernest Obeng & Jone Yeobah Addo, 2020. "The Relationship Between Credit Risk Management and the Profitability of Banks in Ghana," ACTA VSFS, University of Finance and Administration, vol. 14(2), pages 92-114.
    6. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    7. Olya, Hossein GT & Mehran, Javaneh, 2017. "Modelling tourism expenditure using complexity theory," Journal of Business Research, Elsevier, vol. 75(C), pages 147-158.
    8. Armstrong, J. Scott, 2011. "Illusions in Regression Analysis," MPRA Paper 81663, University Library of Munich, Germany.
    9. Awe, Olajumoke A. & Woodside, Arch G. & Nerur, Sridhar & Prater, Edmund, 2020. "Capturing heterogeneities in orchestrating resources for accurately forecasting high (separately low) project management performance," International Journal of Production Economics, Elsevier, vol. 224(C).

  78. Armstrong, J. Scott & Andress, James G., 1970. "Exploratory Analysis of Marketing Data: Trees vs. Regression," MPRA Paper 81668, University Library of Munich, Germany.

    Cited by:

    1. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    2. Van Den Biesen, J.J.H. & Van Den Meijdenberg, C.J.N., 1980. "An analysis of available absolute total cross section data for noble gas systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 100(3), pages 632-640.
    3. David Montgomery & JS Armstrong, 2005. "Brand Trial After a Credibility Change," General Economics and Teaching 0502047, University Library of Munich, Germany.
    4. J. S. Armstrong & R. Brodie & S. McIntyre, 2005. "Forecasting Methods for Marketing:* Review of Empirical Research," General Economics and Teaching 0502023, University Library of Munich, Germany.
    5. Bredewout, J.W. & van den Meijdenberg, C.J.N. & Beenakker, J.J.M., 1976. "Glory undulations in the total cross section for scattering of heavy rare gas atoms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 85(1), pages 28-50.

  79. Armstrong, J. Scott, 1970. "An Application of Econometric Models to International Marketing," MPRA Paper 81698, University Library of Munich, Germany.

    Cited by:

    1. Gerybadze, Alexander & Wiesenauer, Simone, 2018. "The international sales accelerator: A project management tool for improving sales performance in foreign target markets," Hohenheim Discussion Papers in Business, Economics and Social Sciences 10-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    2. Diane Fulton & Richard Fulton & Thomas Garsombke, 2021. "The 3/2 Country Market Evaluation Model: Inclusive Emerging Market Paradigm," Journal of International Business Research and Marketing, Inovatus Services Ltd., vol. 6(5), pages 11-16, July.
    3. Tessier, Thomas H. & Armstrong, J. Scott, 2015. "Decomposition of time-series by level and change," Journal of Business Research, Elsevier, vol. 68(8), pages 1755-1758.
    4. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    5. J. S. Armstrong & R. Brodie & S. McIntyre, 2005. "Forecasting Methods for Marketing:* Review of Empirical Research," General Economics and Teaching 0502023, University Library of Munich, Germany.
    6. Canback, Staffan & D'Agnese, Frank, 2007. "Where in the world is the market? : The income distribution approach to understanding consumer demand in emerging countries," MPRA Paper 13854, University Library of Munich, Germany.
    7. Kardes, Ilke, 2016. "Reaching middle class consumers in emerging markets: Unlocking market potential through urban-based analysis," International Business Review, Elsevier, vol. 25(3), pages 703-710.
    8. Christmann, Petra & Day, Diana & Yip, George S., 1999. "The relative influence of country conditions, industry structure, and business strategy on multinational corporation subsidiary performance," Journal of International Management, Elsevier, vol. 5(4), pages 241-265.
    9. Lucia Bosáková & Matúš Kubák & Marek Andrejkovič & Zuzana Hajduová, 2015. "Doing business abroad: utility function model for country selection in preliminary screening phase," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(1), pages 53-68, March.
    10. Papadopoulos, N. & Chen, Hongbin & Thomas, D. R., 2002. "Toward a tradeoff model for international market selection," International Business Review, Elsevier, vol. 11(2), pages 165-192, April.

  80. Armstrong, J. Scott & Soelberg, Peer, 1968. "On the interpretation of factor analysis," MPRA Paper 81665, University Library of Munich, Germany.

    Cited by:

    1. Freeman, Steven F. & International Motor Vehicle Program., 1993. "Identity maintenance and adaptation : multilevel analysis of response to loss," Working papers w-0093a, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Yang Zhang & Menglong Xia & Yingni Liu, 2023. "The Causality and Antecedents of Tourism Small & Medium-Sized Enterprises’ (SMEs) Coopetition in Complex Institutional Contexts," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    3. Maurizio Vichi, 2017. "Disjoint factor analysis with cross-loadings," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 11(3), pages 563-591, September.
    4. Amare Abawa Esubalew & A. Raghurama, 2021. "The moderating effect of size on the relationship between commercial banks financing and the performance of micro, small, and medium enterprises (MSMEs)," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 11(1), pages 1-14, December.
    5. Carlos M. Del Rio & Lyle J. White, 2014. "Hylomorphic Attitudinal Spirituality," SAGE Open, , vol. 4(1), pages 21582440135, January.
    6. Amare Abawa Esubalew, 2024. "Beyond access to capital: exploring the effect of behavioral biases on the growth of micro, small, and medium enterprises (MSMEs)," SN Business & Economics, Springer, vol. 4(12), pages 1-21, December.
    7. Brosnan, Kylie & Grün, Bettina & Dolnicar, Sara, 2018. "Identifying superfluous survey items," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 39-45.
    8. Ilse Botha, 2010. "A Comparative Analysis Of The Synchronisation Of Business Cycles For Developed And Developing Economies With The World Business Cycle," South African Journal of Economics, Economic Society of South Africa, vol. 78(2), pages 192-207, June.
    9. Yang Zhang & Su Zhang & Fu-Chieh Hsu, 2023. "Crisis Management Performance of Upscale Hotels in the Greater Bay Area, China: A Comparative Study in a Complex Institutional Situation," Sustainability, MDPI, vol. 15(6), pages 1-24, March.

  81. Armstrong, J. Scott, 1967. "Derivation of theory by means of factor analysis or Tom Swift and his electric factor analysis machine," MPRA Paper 81667, University Library of Munich, Germany.

    Cited by:

    1. Ferguson, Graham & Megehee, Carol M. & Woodside, Arch G., 2017. "Culture, religiosity, and economic configural models explaining tipping-behavior prevalence across nations," Tourism Management, Elsevier, vol. 62(C), pages 218-233.
    2. D Conway & K E Haynes, 1977. "Advances in Comparative Ecological Analysis: Parsimony, Invariance, and Homogeneity in Factor Analysis Solutions," Environment and Planning A, , vol. 9(10), pages 1143-1156, October.
    3. James Bennett, 1978. "Imperialism on a swallowtail: Applications of catastrophe theory to international relations," Quality & Quantity: International Journal of Methodology, Springer, vol. 12(1), pages 1-17, March.
    4. Ferguson, Graham & Megehee, Carol M. & Woodside, Arch G., 2018. "Applying asymmetric, case-based, forecasting modeling in service research: Cultures’ consequences on customers’ service gratuities," Australasian marketing journal, Elsevier, vol. 26(4), pages 369-381.
    5. Wolf-Dieter Eberwein & Gisela Hübner-Dick & Wolfgang Jagodzinski & Hans Rattinger & Erich Weede, 1979. "External and Internal Conflict Behavior Among Nations, 1966-1967," Journal of Conflict Resolution, Peace Science Society (International), vol. 23(4), pages 715-742, December.
    6. Charles Sherman, 1972. "Nonmetric multidimensional scaling: A monte carlo study of the basic parameters," Psychometrika, Springer;The Psychometric Society, vol. 37(3), pages 323-355, September.
    7. Robert MacCallum, 1983. "A comparison of factor analysis programs in SPSS, BMDP, and SAS," Psychometrika, Springer;The Psychometric Society, vol. 48(2), pages 223-231, June.
    8. Agyeman, Stephen & Cheng, Lin, 2020. "Analysis of barriers to perceived service quality in Ghana: Students’ perspectives on bus mobility attributes," Transport Policy, Elsevier, vol. 99(C), pages 63-85.
    9. A. Oumlil & Joseph Balloun, 1994. "Some simple structure significance tests for exploratory component analysis with market survey data," Quality & Quantity: International Journal of Methodology, Springer, vol. 28(4), pages 371-381, November.
    10. Patil, Vivek H. & Singh, Surendra N. & Mishra, Sanjay & Todd Donavan, D., 2008. "Efficient theory development and factor retention criteria: Abandon the `eigenvalue greater than one' criterion," Journal of Business Research, Elsevier, vol. 61(2), pages 162-170, February.

Articles

  1. J. Scott Armstrong & Kesten C. Green, 2018. "Forecasting methods and principles: Evidence-based checklists," Journal of Global Scholars of Marketing Science, Taylor & Francis Journals, vol. 28(2), pages 103-159, April.

    Cited by:

    1. Andreas Graefe & Kesten C Green & J Scott Armstrong, 2019. "Accuracy gains from conservative forecasting: Tests using variations of 19 econometric models to predict 154 elections in 10 countries," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-14, January.
    2. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    3. Do Van Thanh, 2019. "Macro-Econometric Model For Medium-Term Socio-Economic Development Planning In Vietnam. Part 1: Structure Of The Model," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 121-136.
    4. Philip Hans Franses, 2024. "Incorporating judgment in forecasting models in times of crisis," Futures & Foresight Science, John Wiley & Sons, vol. 6(4), December.
    5. Woodside, Arch G., 2020. "Interventions as experiments: Connecting the dots in forecasting and overcoming pandemics, global warming, corruption, civil rights violations, misogyny, income inequality, and guns," Journal of Business Research, Elsevier, vol. 117(C), pages 212-218.
    6. Horst Treiblmaier, 2021. "Exploring the Next Wave of Blockchain and Distributed Ledger Technology: The Overlooked Potential of Scenario Analysis," Future Internet, MDPI, vol. 13(7), pages 1-13, July.
    7. Litsiou, Konstantia & Polychronakis, Yiannis & Karami, Azhdar & Nikolopoulos, Konstantinos, 2022. "Relative performance of judgmental methods for forecasting the success of megaprojects," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1185-1196.
    8. Èšole Alexandru - Adrian, 2018. "K-Means Clustering Approach for Improving Financial Forecasts," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 514-518, July.

  2. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    See citations under working paper version above.
  3. Green, Kesten C. & Armstrong, J. Scott & Graefe, Andreas, 2015. "Golden rule of forecasting rearticulated: Forecast unto others as you would have them forecast unto you," Journal of Business Research, Elsevier, vol. 68(8), pages 1768-1771.

    Cited by:

    1. Thomson, Mary E. & Pollock, Andrew C. & Önkal, Dilek & Gönül, M. Sinan, 2019. "Combining forecasts: Performance and coherence," International Journal of Forecasting, Elsevier, vol. 35(2), pages 474-484.
    2. Cameron, Andrew & Nelson, Rohan, 2022. "Enabling Users to Evaluate the Accuracy of ABARES Agricultural Forecasts," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 30(7), November.

  4. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.

    Cited by:

    1. Calatayud, Julia & Jornet, Marc & Mateu, Jorge & Pinto, Carla M.A., 2023. "A new population model for urban infestations," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    2. Søren Kjærgaard & Yunus Emre Ergemen & Malene Kallestrup-Lamb & Jim Oeppen & Rune Lindahl-Jacobsen, 2019. "Forecasting Causes of Death using Compositional Data Analysis: the Case of Cancer Deaths," CREATES Research Papers 2019-07, Department of Economics and Business Economics, Aarhus University.
    3. Bolger, Fergus & Wright, George, 2017. "Use of expert knowledge to anticipate the future: Issues, analysis and directions," International Journal of Forecasting, Elsevier, vol. 33(1), pages 230-243.
    4. Kupiec, Paul H., 2020. "Policy uncertainty and bank stress testing," Journal of Financial Stability, Elsevier, vol. 51(C).
    5. Tao Xiong & Miao Li & Jia Cao, 2023. "Do Futures Prices Help Forecast Spot Prices? Evidence from China’s New Live Hog Futures," Agriculture, MDPI, vol. 13(9), pages 1-16, August.
    6. Aikman, David & Bridges, Jonathan & Burgess, Stephen & Galletly, Richard & Levina, Iren & O'Neill, Cian & Varadi, Alexandra, 2018. "Measuring risks to UK financial stability," Bank of England working papers 738, Bank of England.
    7. Bogomolova, Svetlana & Szabo, Marietta & Kennedy, Rachel, 2017. "Retailers' and manufacturers' price-promotion decisions: Intuitive or evidence-based?," Journal of Business Research, Elsevier, vol. 76(C), pages 189-200.
    8. Purva Grover & Arpan Kumar Kar, 2017. "Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 203-229, September.
    9. Riera, Rodrigo & Fath, Brian D. & Herrera, Ada M. & Rodríguez, Ricardo A., 2024. "A strategic roadmap for interdisciplinary modeling in ecology: The result of reading ‘Defining an ecological equation of state: Response to Riera et al. 2023′ (Newman et al., 2023)," Ecological Modelling, Elsevier, vol. 490(C).
    10. Marek Kwas & Alessia Paccagnini & Michal Rubaszek, 2020. "Common Factors and the Dynamics of Cereal Prices: A Forecasting Perspective," CAMA Working Papers 2020-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    11. Jack Baker & David Swanson & Jeff Tayman, 2021. "The Accuracy of Hamilton–Perry Population Projections for Census Tracts in the United States," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(6), pages 1341-1354, December.
    12. Kang, Yanfei & Cao, Wei & Petropoulos, Fotios & Li, Feng, 2022. "Forecast with forecasts: Diversity matters," European Journal of Operational Research, Elsevier, vol. 301(1), pages 180-190.
    13. Veiga, Claudimar Pereira da & Veiga, Cássia Rita Pereira da & Puchalski, Weslly & Coelho, Leandro dos Santos & Tortato, Ubiratã, 2016. "Demand forecasting based on natural computing approaches applied to the foodstuff retail segment," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 174-181.
    14. Aysun Kapucugil Ikiz & Gizem Halil Utma, 2023. "Combined Forecasts of Intermittent Demand for Stock-keeping Units (SKUs)," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 9(1), pages 1-31, June.
    15. Blanc, Sebastian M. & Setzer, Thomas, 2016. "When to choose the simple average in forecast combination," Journal of Business Research, Elsevier, vol. 69(10), pages 3951-3962.
    16. Jian Zhou, 2025. "Forecasting Beta Using Ultra High Frequency Data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(2), pages 485-496, March.
    17. Mostafa Rezaei & Armann Ingolfsson, 2024. "Forecasting to support EMS tactical planning: what is important and what is not," Health Care Management Science, Springer, vol. 27(4), pages 604-630, December.
    18. de Rezende, Rafael & Egert, Katharina & Marin, Ignacio & Thompson, Guilherme, 2022. "A white-boxed ISSM approach to estimate uncertainty distributions of Walmart sales," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1460-1467.
    19. Katsikopoulos, Konstantinos V. & Durbach, Ian N. & Stewart, Theodor J., 2018. "When should we use simple decision models? A synthesis of various research strands," Omega, Elsevier, vol. 81(C), pages 17-25.
    20. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    21. Konstantinos Nikolopoulos & Waleed S. Alghassab & Konstantia Litsiou & Stelios Sapountzis, 2019. "Long-Term Economic Forecasting with Structured Analogies and Interaction Groups," Working Papers 19018, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    22. Büttner, Daniel & Scheidler, Anne Antonia & Rabe, Markus, 2021. "A reference model for data-driven sales planning: Development of the model's framework and functionality," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 441-476, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    23. Gang Cheng & Sicong Wang & Yuhong Yang, 2015. "Forecast Combination under Heavy-Tailed Errors," Econometrics, MDPI, vol. 3(4), pages 1-28, November.
    24. Douglas MacKinnon & Martin Pavlovič, 2022. "The delayed surplus response for hops related to market dynamics," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(8), pages 293-298.
    25. Liu, Xiangqiang & Dai, Jiajie & Dong, Xiaohong & Liu, Jia, 2024. "ESG rating disagreement and analyst forecast quality," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    26. Jeff Tayman & David A. Swanson & Jack Baker, 2021. "Using Synthetic Adjustments and Controlling to Improve County Population Forecasts from the Hamilton–Perry Method," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(6), pages 1355-1383, December.
    27. Perera, H. Niles & Hurley, Jason & Fahimnia, Behnam & Reisi, Mohsen, 2019. "The human factor in supply chain forecasting: A systematic review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 574-600.
    28. Nelson, Rohan & Cameron, Andrew & Xia, Charley & Gooday, Peter, 2022. "The ABARES Approach to Forecasting Agricultural Commodity Markets," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 30(6), November.
    29. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    30. Pietro Giorgio Lovaglio, 2025. "Cross‐Learning With Panel Data Modeling for Stacking and Forecast Time Series Employment in Europe," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(2), pages 753-780, March.
    31. Ulrich Gunter & Irem Önder & Egon Smeral, 2020. "Are Combined Tourism Forecasts Better at Minimizing Forecasting Errors?," Forecasting, MDPI, vol. 2(3), pages 1-19, June.
    32. Jiří Šindelář, 2019. "Sales forecasting in financial distribution: a comparison of quantitative forecasting methods," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 24(3), pages 69-80, December.
    33. Juan Tenorio & Wilder Pérez, 2023. "GDP nowcasting with Machine Learning and Unstructured Data to Peru," Working Papers 197, Peruvian Economic Association.
    34. Taku Moriyama & Masashi Kuwano & Masahito Nakayama, 2024. "A statistical method for estimating piecewise linear sales trends," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 436-444, June.
    35. Juan Tenorio & Wilder Perez, 2024. "Monthly GDP nowcasting with Machine Learning and Unstructured Data," Papers 2402.04165, arXiv.org.
    36. Lee Mason & Amy Berrington de Gonzalez & Montserrat Garcia-Closas & Stephen J Chanock & Blànaid Hicks & Jonas S Almeida, 2023. "Interpretable, non-mechanistic forecasting using empirical dynamic modeling and interactive visualization," PLOS ONE, Public Library of Science, vol. 18(4), pages 1-12, April.
    37. Theocharis, Zoe & Harvey, Nigel, 2019. "When does more mean worse? Accuracy of judgmental forecasting is nonlinearly related to length of data series," Omega, Elsevier, vol. 87(C), pages 10-19.
    38. Aboud, Ahmed, 2023. "Segmental reporting, accounting enforcement, and analyst forecast dispersion in the European Union," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 53(C).
    39. Alroomi, Azzam & Karamatzanis, Georgios & Nikolopoulos, Konstantinos & Tilba, Anna & Xiao, Shujun, 2022. "Fathoming empirical forecasting competitions’ winners," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1519-1525.
    40. Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
    41. Abolghasemi, Mahdi & Hurley, Jason & Eshragh, Ali & Fahimnia, Behnam, 2020. "Demand forecasting in the presence of systematic events: Cases in capturing sales promotions," International Journal of Production Economics, Elsevier, vol. 230(C).
    42. Graefe, Andreas, 2023. "Embrace the differences: Revisiting the PollyVote method of combining forecasts for U.S. presidential elections (2004 to 2020)," International Journal of Forecasting, Elsevier, vol. 39(1), pages 170-177.
    43. Fantazzini, Dean, 2023. "Assessing the Credit Risk of Crypto-Assets Using Daily Range Volatility Models," MPRA Paper 117141, University Library of Munich, Germany.
    44. Katsikopoulos, Konstantinos V. & Şimşek, Özgür & Buckmann, Marcus & Gigerenzer, Gerd, 2022. "Transparent modeling of influenza incidence: Big data or a single data point from psychological theory?," International Journal of Forecasting, Elsevier, vol. 38(2), pages 613-619.
    45. Anna Borucka, 2023. "Seasonal Methods of Demand Forecasting in the Supply Chain as Support for the Company’s Sustainable Growth," Sustainability, MDPI, vol. 15(9), pages 1-21, April.
    46. Litsiou, Konstantia & Polychronakis, Yiannis & Karami, Azhdar & Nikolopoulos, Konstantinos, 2022. "Relative performance of judgmental methods for forecasting the success of megaprojects," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1185-1196.
    47. Paul H. Kupiec, 2018. "On the accuracy of alternative approaches for calibrating bank stress test models," AEI Economics Working Papers 980152, American Enterprise Institute.
    48. Ma, Shaohui & Fildes, Robert, 2020. "Forecasting third-party mobile payments with implications for customer flow prediction," International Journal of Forecasting, Elsevier, vol. 36(3), pages 739-760.
    49. Grossmann, Igor & Rotella, Amanda A. & Hutcherson, Cendri & Sharpinskyi, Konstantyn & Varnum, Michael E. W. & Achter, Sebastian K. & Dhami, Mandeep & Guo, Xinqi Evie & Kara-Yakoubian, Mane R. & Mandel, 2023. "Insights into the accuracy of social scientists' forecasts of societal change," Other publications TiSEM c14f4a4a-b105-46b3-90f7-f, Tilburg University, School of Economics and Management.
    50. Cenesizoglu, Tolga & de Oliveira Ferrazoli Ribeiro, Fabio & Reeves, Jonathan J., 2017. "Beta forecasting at long horizons," International Journal of Forecasting, Elsevier, vol. 33(4), pages 936-957.
    51. Katarzyna Maciejowska & Bartosz Uniejewski & Rafa{l} Weron, 2022. "Forecasting Electricity Prices," Papers 2204.11735, arXiv.org.

  5. Tessier, Thomas H. & Armstrong, J. Scott, 2015. "Decomposition of time-series by level and change," Journal of Business Research, Elsevier, vol. 68(8), pages 1755-1758.

    Cited by:

    1. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    2. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    3. Goodwin, Paul, 2015. "When simple alternatives to Bayes formula work well: Reducing the cognitive load when updating probability forecasts," Journal of Business Research, Elsevier, vol. 68(8), pages 1686-1691.
    4. Deepa Mishra & Angappa Gunasekaran & Thanos Papadopoulos & Stephen J. Childe, 2018. "Big Data and supply chain management: a review and bibliometric analysis," Annals of Operations Research, Springer, vol. 270(1), pages 313-336, November.

  6. Graefe, Andreas & Armstrong, J. Scott, 2014. "Forecasts of the 2012 US Presidential Election based on Candidates’ Perceived Competence in Handling the Most Important Issue," Political Science Research and Methods, Cambridge University Press, vol. 2(1), pages 141-149, April.

    Cited by:

    1. Michal Tóth & Roman Chytilek, 2018. "Fast, frugal and correct? An experimental study on the influence of time scarcity and quantity of information on the voter decision making process," Public Choice, Springer, vol. 177(1), pages 67-86, October.

  7. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzán, Alfred G., 2014. "Combining forecasts: An application to elections," International Journal of Forecasting, Elsevier, vol. 30(1), pages 43-54.

    Cited by:

    1. von der Gracht, Heiko A. & Hommel, Ulrich & Prokesch, Tobias & Wohlenberg, Holger, 2016. "Testing weighting approaches for forecasting in a Group Wisdom Support System environment," Journal of Business Research, Elsevier, vol. 69(10), pages 4081-4094.
    2. Murtaza Nasir & Nichalin Summerfield & Ali Dag & Asil Oztekin, 2020. "A service analytic approach to studying patient no-shows," Service Business, Springer;Pan-Pacific Business Association, vol. 14(2), pages 287-313, June.
    3. Ko, Hyein & Jackson, Natalie & Osborn, Tracy & Lewis-Beck, Michael S., 2025. "Forecasting presidential elections: Accuracy of ANES voter intentions," International Journal of Forecasting, Elsevier, vol. 41(1), pages 66-75.
    4. Munzert, Simon, 2017. "Forecasting elections at the constituency level: A correction–combination procedure," International Journal of Forecasting, Elsevier, vol. 33(2), pages 467-481.
    5. Brighton, Henry & Gigerenzer, Gerd, 2015. "The bias bias," Journal of Business Research, Elsevier, vol. 68(8), pages 1772-1784.
    6. Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan, 2019. "Predicting the failures of prediction markets: A procedure of decision making using classification models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 297-312.
    7. Di, Chen & Dimitrov, Stanko & He, Qi-Ming, 2019. "Incentive compatibility in prediction markets: Costly actions and external incentives," International Journal of Forecasting, Elsevier, vol. 35(1), pages 351-370.
    8. Claeskens, Gerda & Magnus, Jan R. & Vasnev, Andrey L. & Wang, Wendun, 2016. "The forecast combination puzzle: A simple theoretical explanation," International Journal of Forecasting, Elsevier, vol. 32(3), pages 754-762.
    9. Esteban Fernández-Vázquez & Blanca Moreno, 2017. "Entropy Econometrics for combining regional economic forecasts: A Data-Weighted Prior Estimator," Journal of Geographical Systems, Springer, vol. 19(4), pages 349-370, October.
    10. Fronzetti Colladon, Andrea, 2020. "Forecasting election results by studying brand importance in online news," International Journal of Forecasting, Elsevier, vol. 36(2), pages 414-427.
    11. Chih‐Yu Chin & Cheng‐Lung Wang, 2021. "A new insight into combining forecasts for elections: The role of social media," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 132-143, January.
    12. Harry Garretsen & Janka I. Stoker & Rob Alessie & Joris Lammers, 2014. "Simply a Matter of Luck & Looks? Predicting Elections when Both the World Economy and the Psychology of Faces Count," CESifo Working Paper Series 4857, CESifo.
    13. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzan, Alfred G., 2017. "Assessing the 2016 U.S. Presidential Election Popular Vote Forecasts," MPRA Paper 83282, University Library of Munich, Germany.
    14. Graefe, Andreas & Küchenhoff, Helmut & Stierle, Veronika & Riedl, Bernhard, 2015. "Limitations of Ensemble Bayesian Model Averaging for forecasting social science problems," International Journal of Forecasting, Elsevier, vol. 31(3), pages 943-951.
    15. Bohdan M. Pavlyshenko, 2019. "Machine-Learning Models for Sales Time Series Forecasting," Data, MDPI, vol. 4(1), pages 1-11, January.
    16. UMEDA, Michio, 2023. "Aggregating qualitative district-level campaign assessments to forecast election results: Evidence from Japan," International Journal of Forecasting, Elsevier, vol. 39(2), pages 956-966.
    17. Thomson, Mary E. & Pollock, Andrew C. & Önkal, Dilek & Gönül, M. Sinan, 2019. "Combining forecasts: Performance and coherence," International Journal of Forecasting, Elsevier, vol. 35(2), pages 474-484.
    18. Bacci, Livio Agnew & Mello, Luiz Gustavo & Incerti, Taynara & Paulo de Paiva, Anderson & Balestrassi, Pedro Paulo, 2019. "Optimization of combined time series methods to forecast the demand for coffee in Brazil: A new approach using Normal Boundary Intersection coupled with mixture designs of experiments and rotated fact," International Journal of Production Economics, Elsevier, vol. 212(C), pages 186-211.
    19. Pan, Zhiyuan & Wang, Yudong & Wu, Chongfeng & Yin, Libo, 2017. "Oil price volatility and macroeconomic fundamentals: A regime switching GARCH-MIDAS model," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 130-142.
    20. José Garcia Montalvo & Omiros Papaspiliopoulos & Timothée Stumpf-Fétizon, 2018. "Bayesian forecasting of electoral outcomes with new parties' competition," Economics Working Papers 1624, Department of Economics and Business, Universitat Pompeu Fabra.
    21. Satopää, Ville A. & Baron, Jonathan & Foster, Dean P. & Mellers, Barbara A. & Tetlock, Philip E. & Ungar, Lyle H., 2014. "Combining multiple probability predictions using a simple logit model," International Journal of Forecasting, Elsevier, vol. 30(2), pages 344-356.
    22. Urmee Khan & Robert Lieli, 2016. "Information Flow Between Prediction Markets, Polls and Media: Evidence from the 2008 Presidential Primaries," Working Papers 201610, University of California at Riverside, Department of Economics.
    23. Graefe, Andreas, 2019. "Accuracy of German federal election forecasts, 2013 & 2017," International Journal of Forecasting, Elsevier, vol. 35(3), pages 868-877.
    24. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    25. Andreas Graefe & Kesten C Green & J Scott Armstrong, 2019. "Accuracy gains from conservative forecasting: Tests using variations of 19 econometric models to predict 154 elections in 10 countries," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-14, January.
    26. Kizilaslan, Recep & Freund, Steven & Iseri, Ali, 2016. "A data analytic approach to forecasting daily stock returns in an emerging marketAuthor-Name: Oztekin, Asil," European Journal of Operational Research, Elsevier, vol. 253(3), pages 697-710.
    27. Asil Oztekin, 2018. "Information fusion-based meta-classification predictive modeling for ETF performance," Information Systems Frontiers, Springer, vol. 20(2), pages 223-238, April.
    28. Ronald McDonald & Xuxin Mao, 2015. "Forecasting the 2015 General Election with Internet Big Data: An Application of the TRUST Framework," Working Papers 2016_03, Business School - Economics, University of Glasgow.
    29. Timothée Stumpf-Fétizon & Omiros Papaspiliopoulos & José García-Montalvo, 2018. "Bayesian Forecasting of Electoral Outcomes with new Parties' Competition," Working Papers 1065, Barcelona School of Economics.
    30. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    31. MohammadAmin Fazli & Azin Ghazimatin & Jafar Habibi & Hamid Haghshenas, 2016. "Team selection for prediction tasks," Journal of Combinatorial Optimization, Springer, vol. 31(2), pages 743-757, February.
    32. Juan C. Méndez-Vizcaíno & Alexander Guarin & César Anzola-Bravo & Anderson Grajales-Olarte, 2021. "Characterizing and Communicating the Balance of Risks of Macroeconomic Forecasts: A Predictive Density Approach for Colombia," Borradores de Economia 1178, Banco de la Republica de Colombia.
    33. Paritosh Navinchandra Jha & Marco Cucculelli, 2021. "A New Model Averaging Approach in Predicting Credit Risk Default," Risks, MDPI, vol. 9(6), pages 1-15, June.
    34. Bunker, Kenneth, 2020. "A two-stage model to forecast elections in new democracies," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1407-1419.
    35. Nguyen, Quyen & Diaz-Rainey, Ivan & Kuruppuarachchi, Duminda, 2021. "Predicting corporate carbon footprints for climate finance risk analyses: A machine learning approach," Energy Economics, Elsevier, vol. 95(C).
    36. Liu, Jing & Wei, Yu & Ma, Feng & Wahab, M.I.M., 2017. "Forecasting the realized range-based volatility using dynamic model averaging approach," Economic Modelling, Elsevier, vol. 61(C), pages 12-26.
    37. Cerina, Roberto & Duch, Raymond, 2020. "Measuring public opinion via digital footprints," International Journal of Forecasting, Elsevier, vol. 36(3), pages 987-1002.
    38. Hollyman, Ross & Petropoulos, Fotios & Tipping, Michael E., 2021. "Understanding forecast reconciliation," European Journal of Operational Research, Elsevier, vol. 294(1), pages 149-160.
    39. Ricardo J. G. Mateus & João C. Bana e Costa & Pedro Verga Matos, 2017. "Supporting Multicriteria Group Decisions with MACBETH Tools: Selection of Sustainable Brownfield Redevelopment Actions," Group Decision and Negotiation, Springer, vol. 26(3), pages 495-521, May.
    40. Graefe, Andreas, 2023. "Embrace the differences: Revisiting the PollyVote method of combining forecasts for U.S. presidential elections (2004 to 2020)," International Journal of Forecasting, Elsevier, vol. 39(1), pages 170-177.
    41. Rothschild, David, 2015. "Combining forecasts for elections: Accurate, relevant, and timely," International Journal of Forecasting, Elsevier, vol. 31(3), pages 952-964.
    42. Levene, Mark & Fenner, Trevor, 2021. "A stochastic differential equation approach to the analysis of the 2017 and 2019 UK general election polls," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1227-1234.
    43. Graefe, Andreas, 2015. "Improving forecasts using equally weighted predictors," Journal of Business Research, Elsevier, vol. 68(8), pages 1792-1799.
    44. Montalvo, José G. & Papaspiliopoulos, Omiros & Stumpf-Fétizon, Timothée, 2019. "Bayesian forecasting of electoral outcomes with new parties’ competition," European Journal of Political Economy, Elsevier, vol. 59(C), pages 52-70.
    45. Asil Oztekin, 0. "Information fusion-based meta-classification predictive modeling for ETF performance," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    46. WenJie Wang & Qi Xu & Dandan Fan, 2018. "Stein-Rule Combination Forecasting on RFID Based Supply Chain," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(02), pages 1-13, April.
    47. Brown, Alasdair & Reade, J. James & Vaughan Williams, Leighton, 2019. "When are prediction market prices most informative?," International Journal of Forecasting, Elsevier, vol. 35(1), pages 420-428.

  8. Armstrong, J. Scott & Green, Kesten C., 2013. "Effects of corporate social responsibility and irresponsibility policies," Journal of Business Research, Elsevier, vol. 66(10), pages 1922-1927.
    See citations under working paper version above.
  9. Philippe Jacquart & J. Scott Armstrong, 2013. "The Ombudsman: Are Top Executives Paid Enough? An Evidence-Based Review," Interfaces, INFORMS, vol. 43(6), pages 580-589, December.

    Cited by:

    1. J. Scott Armstrong & Philippe Jacquart, 2013. "The Ombudsman: Is the Evidence Sufficient to Take Action on Executive Pay? Reply to Commentators," Interfaces, INFORMS, vol. 43(6), pages 602-604, December.
    2. Martijn Hendriks & Martijn Burger & Harry Commandeur, 2023. "The influence of CEO compensation on employee engagement," Review of Managerial Science, Springer, vol. 17(2), pages 607-633, February.
    3. Wei Shi & Brian L. Connelly & Robert E. Hoskisson, 2017. "External corporate governance and financial fraud: cognitive evaluation theory insights on agency theory prescriptions," Strategic Management Journal, Wiley Blackwell, vol. 38(6), pages 1268-1286, June.
    4. Derek C. Jones, 2013. "The Ombudsman: Employee Ownership as a Mechanism to Enhance Corporate Governance and Moderate Executive Pay Levels," Interfaces, INFORMS, vol. 43(6), pages 599-601, December.
    5. Christopher S. Armstrong, 2013. "The Ombudsman: A Closer Look at the Efficiency of Top Executive Pay and Incentives," Interfaces, INFORMS, vol. 43(6), pages 590-592, December.
    6. Jeffrey Pfeffer, 2013. "The Ombudsman: Evidence and Executive Compensation—Like Trains Passing in the Night? An Introduction to “Are Top Executives Paid Enough?”," Interfaces, INFORMS, vol. 43(6), pages 578-579, December.
    7. Edward L. Deci & Richard M. Ryan, 2013. "The Ombudsman: Do CEOs’ Aspirations for Wealth Harm Stockholders?," Interfaces, INFORMS, vol. 43(6), pages 593-595, December.
    8. Robin M. Hogarth & Gueorgui I. Kolev, 2013. "The Ombudsman: The “Wicked” Environment of CEO Pay," Interfaces, INFORMS, vol. 43(6), pages 596-598, December.

  10. Andreas Graefe & J. Scott Armstrong, & Randall J. Jones & Alfred G. Cuz‡n, 2013. "Combined Forecasts of the 2012 Election: The PollyVote," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 28, pages 50-51, Winter.

    Cited by:

    1. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzán, Alfred G., 2014. "Combining forecasts: An application to elections," International Journal of Forecasting, Elsevier, vol. 30(1), pages 43-54.

  11. Evanschitzky, Heiner & Armstrong, J. Scott, 2013. "Research with In-built replications: Comment and further suggestions for replication research," Journal of Business Research, Elsevier, vol. 66(9), pages 1406-1408.

    Cited by:

    1. Cai, Xiaowei & Cebollada, Javier & Cortiñas, Mónica, 2023. "Impact of seller- and buyer-created content on product sales in the electronic commerce platform: The role of informativeness, readability, multimedia richness, and extreme valence," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    2. Ulla A. Saari & Rupert J. Baumgartner & Saku J. Mäkinen, 2017. "Eco-Friendly Brands to Drive Sustainable Development: Replication and Extension of the Brand Experience Scale in a Cross-National Context," Sustainability, MDPI, vol. 9(7), pages 1-26, July.
    3. Christian Hopp & Francis J. Greene & Benson Honig & Tomas Karlsson & Mikael Samuelsson, 2018. "Revisiting the influence of institutional forces on the written business plan: a replication study," Management Review Quarterly, Springer, vol. 68(4), pages 361-398, November.
    4. Schaarschmidt, Mario & Könsgen, Raoul, 2020. "Good citizen, good ambassador? Linking employees' reputation perceptions with supportive behavior on Twitter," Journal of Business Research, Elsevier, vol. 117(C), pages 754-763.
    5. Ulla A. Saari & Saku J. Mäkinen, 2017. "Measuring brand experiences cross-nationally," Journal of Brand Management, Palgrave Macmillan, vol. 24(1), pages 86-104, January.
    6. Trafimow, David & Hyman, Michael R. & Kostyk, Alena, 2020. "The (im)precision of scholarly consumer behavior research," Journal of Business Research, Elsevier, vol. 114(C), pages 93-101.
    7. Shaomeng Jia & Claudia R. Williamson, 2019. "Aid, Policies, And Growth: Why So Much Confusion?," Contemporary Economic Policy, Western Economic Association International, vol. 37(4), pages 577-599, October.
    8. Kapferer, Jean-Noël & Valette-Florence, Pierre, 2019. "How self-success drives luxury demand: An integrated model of luxury growth and country comparisons," Journal of Business Research, Elsevier, vol. 102(C), pages 273-287.

  12. J. Scott Armstrong, 2012. "Predicting Job Performance: The Moneyball Factor," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 25, pages 31-34, Spring.

    Cited by:

    1. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    2. Angelika Lepold & Norbert Tanzer & Anita Bregenzer & Paulino Jiménez, 2018. "The Efficient Measurement of Job Satisfaction: Facet-Items versus Facet Scales," IJERPH, MDPI, vol. 15(7), pages 1-19, June.

  13. Green, Kesten C. & Armstrong, J. Scott, 2011. "Role thinking: Standing in other people's shoes to forecast decisions in conflicts," International Journal of Forecasting, Elsevier, vol. 27(1), pages 69-80, January.
    See citations under working paper version above.
  14. Armstrong, J. Scott & Graefe, Andreas, 2011. "Predicting elections from biographical information about candidates: A test of the index method," Journal of Business Research, Elsevier, vol. 64(7), pages 699-706, July.

    Cited by:

    1. von der Gracht, Heiko A. & Hommel, Ulrich & Prokesch, Tobias & Wohlenberg, Holger, 2016. "Testing weighting approaches for forecasting in a Group Wisdom Support System environment," Journal of Business Research, Elsevier, vol. 69(10), pages 4081-4094.
    2. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzan, Alfred G., 2017. "Assessing the 2016 U.S. Presidential Election Popular Vote Forecasts," MPRA Paper 83282, University Library of Munich, Germany.
    3. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzán, Alfred G., 2014. "Combining forecasts: An application to elections," International Journal of Forecasting, Elsevier, vol. 30(1), pages 43-54.
    4. Philippe Jacquart & J. Scott Armstrong, 2013. "The Ombudsman: Are Top Executives Paid Enough? An Evidence-Based Review," Interfaces, INFORMS, vol. 43(6), pages 580-589, December.
    5. Woike, Jan K. & Hoffrage, Ulrich & Petty, Jeffrey S., 2015. "Picking profitable investments: The success of equal weighting in simulated venture capitalist decision making," Journal of Business Research, Elsevier, vol. 68(8), pages 1705-1716.
    6. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    7. Andreas Graefe & Kesten C Green & J Scott Armstrong, 2019. "Accuracy gains from conservative forecasting: Tests using variations of 19 econometric models to predict 154 elections in 10 countries," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-14, January.
    8. Marco Portmann & David Stadelmann, 2013. "Testing the Median Voter Model and Moving Beyond its Limits: Do Characteristics of Politicians Matter?," CREMA Working Paper Series 2013-05, Center for Research in Economics, Management and the Arts (CREMA).
    9. Cote, Joseph A., 2011. "Predicting elections from biographical information about candidates: A commentary essay," Journal of Business Research, Elsevier, vol. 64(7), pages 696-698, July.
    10. Graefe, Andreas, 2023. "Embrace the differences: Revisiting the PollyVote method of combining forecasts for U.S. presidential elections (2004 to 2020)," International Journal of Forecasting, Elsevier, vol. 39(1), pages 170-177.
    11. David Stadelmann & Marco Portmann & Reiner Eichenberger, 2018. "Military Service of Politicians, Public Policy, and Parliamentary Decisions," CESifo Economic Studies, CESifo Group, vol. 64(4), pages 639-666.
    12. Armstrong, J. Scott, 2011. "Illusions in Regression Analysis," MPRA Paper 81663, University Library of Munich, Germany.
    13. Graefe, Andreas, 2015. "Improving forecasts using equally weighted predictors," Journal of Business Research, Elsevier, vol. 68(8), pages 1792-1799.

  15. Graefe, Andreas & Armstrong, J. Scott, 2011. "Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task," International Journal of Forecasting, Elsevier, vol. 27(1), pages 183-195, January.

    Cited by:

    1. von der Gracht, Heiko A. & Hommel, Ulrich & Prokesch, Tobias & Wohlenberg, Holger, 2016. "Testing weighting approaches for forecasting in a Group Wisdom Support System environment," Journal of Business Research, Elsevier, vol. 69(10), pages 4081-4094.
    2. Prommer, Lisa & Tiberius, Victor & Kraus, Sascha, 2020. "Exploring the future of startup leadership development," Journal of Business Venturing Insights, Elsevier, vol. 14(C).
    3. Laura Studen & Victor Tiberius, 2020. "Social Media, Quo Vadis? Prospective Development and Implications," Future Internet, MDPI, vol. 12(9), pages 1-22, August.
    4. Pennings, Clint L.P. & van Dalen, Jan & Rook, Laurens, 2019. "Coordinating judgmental forecasting: Coping with intentional biases," Omega, Elsevier, vol. 87(C), pages 46-56.
    5. Zeng, Michael A. & Koller, Hans & Jahn, Reimo, 2019. "Open radar groups: The integration of online communities into open foresight processes," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 204-217.
    6. Christoph Diermann & Arnd Huchzermeier, 2017. "Case Article—Canyon Bicycles: Judgmental Demand Forecasting in Direct Sales," INFORMS Transactions on Education, INFORMS, vol. 17(2), pages 58-62, January.
    7. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V. & Tai, Chung-Ching & Cheah, Eng-Tuck, 2019. "Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements," European Journal of Operational Research, Elsevier, vol. 272(1), pages 389-405.
    8. Wright, George & Rowe, Gene, 2011. "Group-based judgmental forecasting: An integration of extant knowledge and the development of priorities for a new research agenda," International Journal of Forecasting, Elsevier, vol. 27(1), pages 1-13, January.
    9. Kauko, Karlo & Palmroos, Peter, 2014. "The Delphi method in forecasting financial markets— An experimental study," International Journal of Forecasting, Elsevier, vol. 30(2), pages 313-327.
    10. Christoph Markmann & Alexander Spickermann & Heiko A. von der Gracht & Alexander Brem, 2021. "Improving the question formulation in Delphi‐like surveys: Analysis of the effects of abstract language and amount of information on response behavior," Futures & Foresight Science, John Wiley & Sons, vol. 3(1), March.
    11. Cary Deck & David Porter, 2013. "Prediction Markets in the Laboratory," Working Papers 13-05, Chapman University, Economic Science Institute.
    12. Marcin Kozak & Olesia Iefremova, 2014. "Implementation Of The Delphi Technique In Finance," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 10(4), pages 36-45, May.
    13. Steffen Keck & Wenjie Tang, 2021. "Elaborating or Aggregating? The Joint Effects of Group Decision-Making Structure and Systematic Errors on the Value of Group Interactions," Management Science, INFORMS, vol. 67(7), pages 4287-4309, July.
    14. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    15. Bo Cowgill & Eric Zitzewitz, 2015. "Corporate Prediction Markets: Evidence from Google, Ford, and Firm X," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1309-1341.
    16. Eksoz, Can & Mansouri, S. Afshin & Bourlakis, Michael, 2014. "Collaborative forecasting in the food supply chain: A conceptual framework," International Journal of Production Economics, Elsevier, vol. 158(C), pages 120-135.
    17. Winkler, Jens & Moser, Roger, 2016. "Biases in future-oriented Delphi studies: A cognitive perspective," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 63-76.
    18. Lian Jian & Rahul Sami, 2012. "Aggregation and Manipulation in Prediction Markets: Effects of Trading Mechanism and Information Distribution," Management Science, INFORMS, vol. 58(1), pages 123-140, January.
    19. Tommaso Ciarli & Alex Coad & Ismael Rafols, 2015. "Quantitative Analysis of Technology Futures: A review of Techniques, Uses and Characteristics," SPRU Working Paper Series 2015-23, SPRU - Science Policy Research Unit, University of Sussex Business School.
    20. Winkler, Jens & Kuklinski, Christian Paul Jian-Wei & Moser, Roger, 2015. "Decision making in emerging markets: The Delphi approach's contribution to coping with uncertainty and equivocality," Journal of Business Research, Elsevier, vol. 68(5), pages 1118-1126.
    21. Katherine A Smith & Segolame Setlhare & Allan DeCaen & Aaron Donoghue & Janell L Mensinger & Bingqing Zhang & Brennan Snow & Dikai Zambo & Kagiso Ndlovu & Ryan Littman-Quinn & Farhan Bhanji & Peter A , 2019. "Feasibility and preliminary validity evidence for remote video-based assessment of clinicians in a global health setting," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-13, August.
    22. Kopyto, Matthias & Lechler, Sabrina & von der Gracht, Heiko A. & Hartmann, Evi, 2020. "Potentials of blockchain technology in supply chain management: Long-term judgments of an international expert panel," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    23. Jaemyung Ahn & Olivier L. de Weck & Martin Steele, 2014. "Credibility Assessment of Models and Simulations Based on NASA’s Models and Simulation Standard Using the Delphi Method," Systems Engineering, John Wiley & Sons, vol. 17(2), pages 237-248, June.
    24. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    25. Goodwin, Paul & Meeran, Sheik & Dyussekeneva, Karima, 2014. "The challenges of pre-launch forecasting of adoption time series for new durable products," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1082-1097.
    26. Muhammad Ridhuan Tony Lim Abdullah & Saedah Siraj & Zulkipli Ghazali, 2021. "An ISM Approach for Managing Critical Stakeholder Issues Regarding Carbon Capture and Storage (CCS) Deployment in Developing Asian Countries," Sustainability, MDPI, vol. 13(12), pages 1-23, June.
    27. Hanea, A.M. & McBride, M.F. & Burgman, M.A. & Wintle, B.C. & Fidler, F. & Flander, L. & Twardy, C.R. & Manning, B. & Mascaro, S., 2017. "I nvestigate D iscuss E stimate A ggregate for structured expert judgement," International Journal of Forecasting, Elsevier, vol. 33(1), pages 267-279.
    28. Tiberius, Victor & Gojowy, Robin & Dabić, Marina, 2022. "Forecasting the future of robo advisory: A three-stage Delphi study on economic, technological, and societal implications," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    29. Rengarajan, Srinath & Moser, Roger & Narayanamurthy, Gopalakrishnan, 2021. "Strategy tools in dynamic environments – An expert-panel study," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    30. Julia A. Minson & Jennifer S. Mueller & Richard P. Larrick, 2018. "The Contingent Wisdom of Dyads: When Discussion Enhances vs. Undermines the Accuracy of Collaborative Judgments," Management Science, INFORMS, vol. 64(9), pages 4177-4192, September.
    31. Jukrin Moon & Dongoo Lee & Taesik Lee & Jaemyung Ahn & Jindong Shin & Kyungho Yoon & Dongsik Choi, 2015. "Group Decision Procedure to Model the Dependency Structure of Complex Systems: Framework and Case Study for Critical Infrastructures," Systems Engineering, John Wiley & Sons, vol. 18(4), pages 323-338, July.
    32. Bolger, Fergus & Rowe, Gene & Belton, Ian & Crawford, Megan M & Hamlin, Iain & Sissons, Aileen & Taylor Browne Lūka, Courtney & Vasilichi, Alexandrina & Wright, George, 2020. "The Simulated Group Response Paradigm: A new approach to the study of opinion change in Delphi and other structured-group techniques," OSF Preprints 4ufzg, Center for Open Science.
    33. Merfeld, Katrin & Wilhelms, Mark-Philipp & Henkel, Sven & Kreutzer, Karin, 2019. "Carsharing with shared autonomous vehicles: Uncovering drivers, barriers and future developments – A four-stage Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 66-81.
    34. Keller, Jonas & von der Gracht, Heiko A., 2014. "The influence of information and communication technology (ICT) on future foresight processes — Results from a Delphi survey," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 81-92.
    35. Litsiou, Konstantia & Polychronakis, Yiannis & Karami, Azhdar & Nikolopoulos, Konstantinos, 2022. "Relative performance of judgmental methods for forecasting the success of megaprojects," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1185-1196.
    36. Apreda, Riccardo & Bonaccorsi, Andrea & dell'Orletta, Felice & Fantoni, Gualtiero, 2019. "Expert forecast and realized outcomes in technology foresight," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 277-288.
    37. Nikolopoulos, Konstantinos & Litsa, Akrivi & Petropoulos, Fotios & Bougioukos, Vasileios & Khammash, Marwan, 2015. "Relative performance of methods for forecasting special events," Journal of Business Research, Elsevier, vol. 68(8), pages 1785-1791.
    38. Griffiths, Frances & Cave, Jonathan & Boardman, Felicity & Ren, Justin & Pawlikowska, Teresa & Ball, Robin & Clarke, Aileen & Cohen, Alan, 2012. "Social networks – The future for health care delivery," Social Science & Medicine, Elsevier, vol. 75(12), pages 2233-2241.
    39. Spickermann, Alexander & Zimmermann, Martin & von der Gracht, Heiko A., 2014. "Surface- and deep-level diversity in panel selection — Exploring diversity effects on response behaviour in foresight," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 105-120.
    40. Bonaccorsi, Andrea & Apreda, Riccardo & Fantoni, Gualtiero, 2020. "Expert biases in technology foresight. Why they are a problem and how to mitigate them," Technological Forecasting and Social Change, Elsevier, vol. 151(C).

  16. J. Scott Armstrong & Kesten C. Green & Willie Soon, 2011. "Research on Forecasting for the Manmade Global Warming Alarm," Energy & Environment, , vol. 22(8), pages 1091-1104, December.

    Cited by:

    1. Chong, Heap-Yih & Lam, Wei-Haur, 2013. "Ocean renewable energy in Malaysia: The potential of the Straits of Malacca," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 169-178.

  17. Graefe, Andreas & Armstrong, J. Scott, 2011. "Conditions under which index models are useful: Reply to bio-index commentaries," Journal of Business Research, Elsevier, vol. 64(7), pages 693-695, July.

    Cited by:

    1. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzán, Alfred G., 2014. "Combining forecasts: An application to elections," International Journal of Forecasting, Elsevier, vol. 30(1), pages 43-54.
    2. Loock, Moritz & Hinnen, Gieri, 2015. "Heuristics in organizations: A review and a research agenda," Journal of Business Research, Elsevier, vol. 68(9), pages 2027-2036.
    3. Graefe, Andreas, 2015. "Improving forecasts using equally weighted predictors," Journal of Business Research, Elsevier, vol. 68(8), pages 1792-1799.

  18. Evanschitzky, Heiner & Armstrong, J. Scott, 2010. "Replications of forecasting research," International Journal of Forecasting, Elsevier, vol. 26(1), pages 4-8, January.

    Cited by:

    1. Evanschitzky, Heiner & Armstrong, J. Scott, 2013. "Research with In-built replications: Comment and further suggestions for replication research," Journal of Business Research, Elsevier, vol. 66(9), pages 1406-1408.
    2. Rob J Hyndman, 2019. "A Brief History of Forecasting Competitions," Monash Econometrics and Business Statistics Working Papers 3/19, Monash University, Department of Econometrics and Business Statistics.
    3. Doucouliagos, Chris & Paldam, Martin & Stanley, T. D., 2018. "Skating on Thin Evidence: Implications for Public Policy," IZA Discussion Papers 11424, Institute of Labor Economics (IZA).
    4. Vlaeminck, Sven, 2013. "Data Management in Scholarly Journals and Possible Roles for Libraries - Some Insights from EDaWaX," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23(1), pages 49-79.
    5. Johnson, Samuel G. B., 2019. "Toward a cognitive science of markets: Economic agents as sense-makers," Economics Discussion Papers 2019-10, Kiel Institute for the World Economy (IfW Kiel).
    6. Hensel, Przemysław G., 2021. "Reproducibility and replicability crisis: How management compares to psychology and economics – A systematic review of literature," European Management Journal, Elsevier, vol. 39(5), pages 577-594.
    7. Trinh, Giang & Dawes, John, 2020. "A comparison of brand loyalty between on the go and take-home consumption purchases," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    8. Boylan, John E. & Goodwin, Paul & Mohammadipour, Maryam & Syntetos, Aris A., 2015. "Reproducibility in forecasting research," International Journal of Forecasting, Elsevier, vol. 31(1), pages 79-90.
    9. Fildes, Robert & Petropoulos, Fotios, 2015. "Is there a Golden Rule?," Journal of Business Research, Elsevier, vol. 68(8), pages 1742-1745.
    10. Ryan, James C. & A Tipu, Syed A., 2022. "Business and management research: Low instances of replication studies and a lack of author independence in replications," Research Policy, Elsevier, vol. 51(1).

  19. Andreas Graefe & J. Scott Armstrong & Alfred G. Cuzán & Randall J. Jones, Jr., 2009. "Combined Forecasts of the 2008 Election: The Pollyvote," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 12, pages 41-42, Winter.

    Cited by:

    1. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzan, Alfred G., 2017. "Assessing the 2016 U.S. Presidential Election Popular Vote Forecasts," MPRA Paper 83282, University Library of Munich, Germany.
    2. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzán, Alfred G., 2014. "Combining forecasts: An application to elections," International Journal of Forecasting, Elsevier, vol. 30(1), pages 43-54.
    3. Graefe, Andreas, 2019. "Accuracy of German federal election forecasts, 2013 & 2017," International Journal of Forecasting, Elsevier, vol. 35(3), pages 868-877.

  20. Green, Kesten C. & Armstrong, J. Scott & Soon, Willie, 2009. "Validity of climate change forecasting for public policy decision making," International Journal of Forecasting, Elsevier, vol. 25(4), pages 826-832, October.

    Cited by:

    1. Fernández-Avilés, Gema & Mattera, Raffaele & Scepi, Germana, 2024. "Factor-Augmented Autoregressive Neural Network to forecast NOx in the city of Madrid," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    2. Fildes, Robert & Kourentzes, Nikolaos, 2011. "Validation and forecasting accuracy in models of climate change," International Journal of Forecasting, Elsevier, vol. 27(4), pages 968-995, October.
    3. David R.B. Stockwell, 2010. "Critique of Drought Models in the Australian Drought Exceptional Circumstances Report (DECR)," Energy & Environment, , vol. 21(5), pages 425-436, September.
    4. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    5. Marc Garnica-Caparrós & Daniel Memmert & Fabian Wunderlich, 2022. "Artificial data in sports forecasting: a simulation framework for analysing predictive models in sports," Information Systems and e-Business Management, Springer, vol. 20(3), pages 551-580, September.
    6. Jiří Šindelář, 2019. "Sales forecasting in financial distribution: a comparison of quantitative forecasting methods," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 24(3), pages 69-80, December.
    7. Höök, Mikael & Tang, Xu, 2013. "Depletion of fossil fuels and anthropogenic climate change—A review," Energy Policy, Elsevier, vol. 52(C), pages 797-809.
    8. Patrick Frank, 2015. "Negligence, Non-Science, and Consensus Climatology," Energy & Environment, , vol. 26(3), pages 391-415, April.

  21. Malcolm Wright & J. Scott Armstrong, 2008. "The Ombudsman: Verification of Citations: Fawlty Towers of Knowledge?," Interfaces, INFORMS, vol. 38(2), pages 125-139, April.

    Cited by:

    1. D. R. Amancio & M. G. V. Nunes & O. N. Oliveira & L. F. Costa, 2012. "Using complex networks concepts to assess approaches for citations in scientific papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 827-842, June.
    2. Iman Tahamtan & Lutz Bornmann, 2019. "What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1635-1684, December.
    3. Philippe Jacquart & J. Scott Armstrong, 2013. "The Ombudsman: Are Top Executives Paid Enough? An Evidence-Based Review," Interfaces, INFORMS, vol. 43(6), pages 580-589, December.
    4. Dowling, Grahame R., 2014. "Playing the citations game: From publish or perish to be cited or sidelined," Australasian marketing journal, Elsevier, vol. 22(4), pages 280-287.
    5. Reimann, Felix & Ehrgott, Matthias & Kaufmann, Lutz & Carter, Craig R., 2012. "Local stakeholders and local legitimacy: MNEs' social strategies in emerging economies," Journal of International Management, Elsevier, vol. 18(1), pages 1-17.
    6. Aisling Bonner & George Onofrei & Paul Humphreys & Michael Margey & Trevor Cadden, 2021. "Entrepreneurial versus cooperative social capital: The impact on operational performance," Business Strategy and the Environment, Wiley Blackwell, vol. 30(8), pages 3854-3865, December.

  22. J. Scott Armstrong & Kesten C. Green & Willie Soon, 2008. "Polar Bear Population Forecasts: A Public-Policy Forecasting Audit," Interfaces, INFORMS, vol. 38(5), pages 382-405, October.
    See citations under working paper version above.
  23. Evanschitzky, Heiner & Baumgarth, Carsten & Hubbard, Raymond & Armstrong, J. Scott, 2007. "Replication research's disturbing trend," Journal of Business Research, Elsevier, vol. 60(4), pages 411-415, April.

    Cited by:

    1. Michael A. Clemens, 2017. "The Meaning Of Failed Replications: A Review And Proposal," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 326-342, February.
    2. Giacomo Gistri & Matteo Corciolani, 2020. "Towards a better understanding of practitioners’ ideas about product placement: an empirical analysis in the Italian context," Italian Journal of Marketing, Springer, vol. 2020(4), pages 261-288, December.
    3. Lin Xiao & Chuanmin Mi & Yucheng Zhang & Jing Ma, 2019. "Examining Consumers’ Behavioral Intention in O2O Commerce from a Relational Perspective: an Exploratory Study," Information Systems Frontiers, Springer, vol. 21(5), pages 1045-1068, October.
    4. Evanschitzky, Heiner & Armstrong, J. Scott, 2013. "Research with In-built replications: Comment and further suggestions for replication research," Journal of Business Research, Elsevier, vol. 66(9), pages 1406-1408.
    5. Easley, Richard W. & Madden, Charles S. & Gray, Van, 2013. "A tale of two cultures: Revisiting journal editors' views of replication research," Journal of Business Research, Elsevier, vol. 66(9), pages 1457-1459.
    6. Vlaeminck, Sven, 2013. "Data Management in Scholarly Journals and Possible Roles for Libraries - Some Insights from EDaWaX," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23(1), pages 49-79.
    7. Pina, José M. & Dall'Olmo Riley, Francesca & Lomax, Wendy, 2013. "Generalizing spillover effects of goods and service brand extensions: A meta-analysis approach," Journal of Business Research, Elsevier, vol. 66(9), pages 1411-1419.
    8. Lorenz Graf-Vlachy, 2019. "Like student like manager? Using student subjects in managerial debiasing research," Review of Managerial Science, Springer, vol. 13(2), pages 347-376, April.
    9. Ulla A. Saari & Rupert J. Baumgartner & Saku J. Mäkinen, 2017. "Eco-Friendly Brands to Drive Sustainable Development: Replication and Extension of the Brand Experience Scale in a Cross-National Context," Sustainability, MDPI, vol. 9(7), pages 1-26, July.
    10. Christoph Teller & Jennifer A. Thomson, 2011. "Gender differences of shoppers in the marketing and management of retail agglomerations," The Service Industries Journal, Taylor & Francis Journals, vol. 32(6), pages 961-980, January.
    11. James, Victoria K., 2010. "A socio-cultural approach to exploring consumer boycott intelligence: A commentary essay," Journal of Business Research, Elsevier, vol. 63(4), pages 363-365, April.
    12. Imam Salehudin & Frank Alpert, 2024. "Perceived aggressive monetization: why some mobile gamers won’t spend any money on in-app purchases," Electronic Commerce Research, Springer, vol. 24(3), pages 1997-2019, September.
    13. Massimiliano Bonacchi & Marco Maria Mattei, 2024. "Replication & re-examination of empirical research in corporate reporting and accounting," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2024(2), pages 5-12.
    14. Zacharias Maniadis & Fabio Tufano & John A. List, 2017. "To Replicate or Not To Replicate? Exploring Reproducibility in Economics through the Lens of a Model and a Pilot Study," Economic Journal, Royal Economic Society, vol. 127(605), pages 209-235, October.
    15. Daniele Fanelli, 2012. "Negative results are disappearing from most disciplines and countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 891-904, March.
    16. Evanschitzky, Heiner & Armstrong, J. Scott, 2010. "Replications of forecasting research," International Journal of Forecasting, Elsevier, vol. 26(1), pages 4-8, January.
    17. Hensel, Przemysław G., 2021. "Reproducibility and replicability crisis: How management compares to psychology and economics – A systematic review of literature," European Management Journal, Elsevier, vol. 39(5), pages 577-594.
    18. Annette N. Brown & Drew B. Cameron & Benjamin D. K. Wood, 2014. "Quality evidence for policymaking: I'll believe it when I see the replication," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 6(3), pages 215-235, September.
    19. Geuens, Maggie, 2011. "Where does business research go from here? Food-for-thought on academic papers in business research," Journal of Business Research, Elsevier, vol. 64(10), pages 1104-1107, October.
    20. Hensel, Przemysław G., 2019. "Supporting replication research in management journals: Qualitative analysis of editorials published between 1970 and 2015," European Management Journal, Elsevier, vol. 37(1), pages 45-57.
    21. Magnusson, Peter & Baack, Daniel W. & Zdravkovic, Srdan & Staub, Karin M. & Amine, Lyn S., 2008. "Meta-analysis of cultural differences: Another slice at the apple," International Business Review, Elsevier, vol. 17(5), pages 520-532, October.
    22. Luis Alfonso Dau & Grazia D. Santangelo & Arjen Witteloostuijn, 2022. "Replication studies in international business," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(2), pages 215-230, March.
    23. Brock, Christian & Blut, Markus & Evanschitzky, Heiner & Kenning, Peter, 2013. "Satisfaction with complaint handling: A replication study on its determinants in a business-to-business context," International Journal of Research in Marketing, Elsevier, vol. 30(3), pages 319-322.
    24. Weismeier-Sammer, Daniela, 2011. "Entrepreneurial behavior in family firms: A replication study," Journal of Family Business Strategy, Elsevier, vol. 2(3), pages 128-138.
    25. Francisco J. Conejo & Lawrence F. Cunningham & Clifford E. Young, 2020. "Revisiting the Brand Luxury Index: new empirical evidence and future directions," Journal of Brand Management, Palgrave Macmillan, vol. 27(1), pages 108-122, January.
    26. Boylan, John E. & Goodwin, Paul & Mohammadipour, Maryam & Syntetos, Aris A., 2015. "Reproducibility in forecasting research," International Journal of Forecasting, Elsevier, vol. 31(1), pages 79-90.
    27. Laurent, Gilles, 2013. "EMAC Distinguished Marketing Scholar 2012," International Journal of Research in Marketing, Elsevier, vol. 30(4), pages 323-334.
    28. Ulla A. Saari & Saku J. Mäkinen, 2017. "Measuring brand experiences cross-nationally," Journal of Brand Management, Palgrave Macmillan, vol. 24(1), pages 86-104, January.
    29. Uncles, Mark D. & Kwok, Simon, 2013. "Designing research with in-built differentiated replication," Journal of Business Research, Elsevier, vol. 66(9), pages 1398-1405.
    30. Kienzler, Mario & Kowalkowski, Christian & Kindström, Daniel, 2021. "Purchasing professionals and the flat-rate bias: Effects of price premiums, past usage, and relational ties on price plan choice," Journal of Business Research, Elsevier, vol. 132(C), pages 403-415.
    31. Peterson, Robert A. & Merunka, Dwight R., 2014. "Convenience samples of college students and research reproducibility," Journal of Business Research, Elsevier, vol. 67(5), pages 1035-1041.
    32. Lorenz Graf-Vlachy, 2022. "Is the readability of abstracts decreasing in management research?," Review of Managerial Science, Springer, vol. 16(4), pages 1063-1084, May.
    33. Sadok El Ghoul & Omrane Guedhami & Robert Nash & Ajay Patel, 2019. "New Evidence on the Role of the Media in Corporate Social Responsibility," Journal of Business Ethics, Springer, vol. 154(4), pages 1051-1079, February.
    34. Trafimow, David & Hyman, Michael R. & Kostyk, Alena, 2020. "The (im)precision of scholarly consumer behavior research," Journal of Business Research, Elsevier, vol. 114(C), pages 93-101.
    35. Nayeem, Tahmid & Casidy, Riza, 2015. "Australian consumers' decision-making styles for everyday products," Australasian marketing journal, Elsevier, vol. 23(1), pages 67-74.
    36. Ryan, James C. & A Tipu, Syed A., 2022. "Business and management research: Low instances of replication studies and a lack of author independence in replications," Research Policy, Elsevier, vol. 51(1).
    37. Walsh, Gianfranco & Northington, William Magnus & Hille, Patrick & Dose, David, 2015. "Service employees' willingness to report complaints scale: Cross-country application and replication," Journal of Business Research, Elsevier, vol. 68(3), pages 500-506.
    38. Thomas Kenworthy & W. Edward McMullan, 2013. "Finding Practical Knowledge in Entrepreneurship," Entrepreneurship Theory and Practice, , vol. 37(5), pages 983-997, September.
    39. Reimer, Thomas & Benkenstein, Martin, 2016. "When good WOM hurts and bad WOM gains: The effect of untrustworthy online reviews," Journal of Business Research, Elsevier, vol. 69(12), pages 5993-6001.
    40. Hubbard, Raymond & Lindsay, R. Murray, 2013. "From significant difference to significant sameness: Proposing a paradigm shift in business research," Journal of Business Research, Elsevier, vol. 66(9), pages 1377-1388.
    41. Mark ANDERSON & Peter MARTINS DA SILVA, 2015. "Evaluations of Co-Brands: A Two-Country Comparison," Expert Journal of Marketing, Sprint Investify, vol. 3(2), pages 51-61.
    42. Riefler, Petra & Diamantopoulos, Adamantios, 2009. "Consumer cosmopolitanism: Review and replication of the CYMYC scale," Journal of Business Research, Elsevier, vol. 62(4), pages 407-419, April.
    43. Kristina Haberstroh & Ulrich R. Orth & Stefan Hoffmann & Berit Brunk, 2017. "Consumer Response to Unethical Corporate Behavior: A Re-Examination and Extension of the Moral Decoupling Model," Journal of Business Ethics, Springer, vol. 140(1), pages 161-173, January.
    44. Walsh, Gianfranco & Shiu, Edward & Hassan, Louise M., 2014. "Replicating, validating, and reducing the length of the consumer perceived value scale," Journal of Business Research, Elsevier, vol. 67(3), pages 260-267.
    45. Martin Binder & Alex Coad, 2014. "How satisfied are the self-employed? A life domain view," SPRU Working Paper Series 2014-17, SPRU - Science Policy Research Unit, University of Sussex Business School.

  24. Green, Kesten C. & Armstrong, J. Scott, 2007. "Structured analogies for forecasting," International Journal of Forecasting, Elsevier, vol. 23(3), pages 365-376.
    See citations under working paper version above.
  25. Kesten C. Green & J. Scott Armstrong, 2007. "Global Warming: Forecasts by Scientists Versus Scientific Forecasts," Energy & Environment, , vol. 18(7), pages 997-1021, December.
    See citations under working paper version above.
  26. Kesten C. Green & J. Scott Armstrong, 2007. "The Ombudsman: Value of Expertise for Forecasting Decisions in Conflicts," Interfaces, INFORMS, vol. 37(3), pages 287-299, June.

    Cited by:

    1. Litsiou, Konstantia & Polychronakis, Yiannis & Karami, Azhdar & Nikolopoulos, Konstantinos, 2022. "Relative performance of judgmental methods for forecasting the success of megaprojects," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1185-1196.
    2. Mauksch, Stefanie & von der Gracht, Heiko A. & Gordon, Theodore J., 2020. "Who is an expert for foresight? A review of identification methods," Technological Forecasting and Social Change, Elsevier, vol. 154(C).

  27. Armstrong, J. Scott, 2007. "Significance tests harm progress in forecasting," International Journal of Forecasting, Elsevier, vol. 23(2), pages 321-327.
    See citations under working paper version above.
  28. Armstrong, J. Scott, 2007. "Statistical significance tests are unnecessary even when properly done and properly interpreted: Reply to commentaries," International Journal of Forecasting, Elsevier, vol. 23(2), pages 335-336.

    Cited by:

    1. Crone, Sven F. & Hibon, Michèle & Nikolopoulos, Konstantinos, 2011. "Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction," International Journal of Forecasting, Elsevier, vol. 27(3), pages 635-660.
    2. Savio, Nicolas D. & Nikolopoulos, Konstantinos, 2013. "A strategic forecasting framework for governmental decision-making and planning," International Journal of Forecasting, Elsevier, vol. 29(2), pages 311-321.
    3. Woodside, Arch G., 2020. "Interventions as experiments: Connecting the dots in forecasting and overcoming pandemics, global warming, corruption, civil rights violations, misogyny, income inequality, and guns," Journal of Business Research, Elsevier, vol. 117(C), pages 212-218.
    4. Litsiou, Konstantia & Polychronakis, Yiannis & Karami, Azhdar & Nikolopoulos, Konstantinos, 2022. "Relative performance of judgmental methods for forecasting the success of megaprojects," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1185-1196.
    5. Nikolopoulos, Konstantinos & Litsa, Akrivi & Petropoulos, Fotios & Bougioukos, Vasileios & Khammash, Marwan, 2015. "Relative performance of methods for forecasting special events," Journal of Business Research, Elsevier, vol. 68(8), pages 1785-1791.
    6. Marko Hofmann & Silja Meyer-Nieberg, 2018. "Time to dispense with the p-value in OR?," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 193-214, March.
    7. Stekler, H.O., 2007. "Significance tests harm progress in forecasting: Comment," International Journal of Forecasting, Elsevier, vol. 23(2), pages 329-330.

  29. Kesten Green & J. Scott Armstrong & Andreas Graefe, 2007. "Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 8, pages 17-20, Fall.
    See citations under working paper version above.
  30. Armstrong, J. Scott & Fildes, Robert, 2006. "Making progress in forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 433-441.

    Cited by:

    1. Lessmann, Stefan & Voß, Stefan, 2017. "Car resale price forecasting: The impact of regression method, private information, and heterogeneity on forecast accuracy," International Journal of Forecasting, Elsevier, vol. 33(4), pages 864-877.
    2. Mohamed Mohamed & Aysha Al-Mualla, 2010. "Water Demand Forecasting in Umm Al-Quwain (UAE) Using the IWR-MAIN Specify Forecasting Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 4093-4120, November.
    3. Veiga, Claudimar Pereira da & Veiga, Cássia Rita Pereira da & Puchalski, Weslly & Coelho, Leandro dos Santos & Tortato, Ubiratã, 2016. "Demand forecasting based on natural computing approaches applied to the foodstuff retail segment," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 174-181.
    4. Fildes, Robert & Kourentzes, Nikolaos, 2011. "Validation and forecasting accuracy in models of climate change," International Journal of Forecasting, Elsevier, vol. 27(4), pages 968-995, October.
    5. Icaro Romolo Sousa Agostino & Wesley Vieira da Silva & Claudimar Pereira da Veiga & Adriano Mendonça Souza, 2020. "Forecasting models in the manufacturing processes and operations management: Systematic literature review," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1043-1056, November.
    6. Dinis, Duarte & Barbosa-Póvoa, Ana & Teixeira, Ângelo Palos, 2022. "Enhancing capacity planning through forecasting: An integrated tool for maintenance of complex product systems," International Journal of Forecasting, Elsevier, vol. 38(1), pages 178-192.
    7. E S Gardner & E McKenzie, 2011. "Why the damped trend works," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 1177-1180, June.
    8. Tine Van Calster & Filip Van den Bossche & Bart Baesens & Wilfried Lemahieu, 2020. "Profit-oriented sales forecasting: a comparison of forecasting techniques from a business perspective," Papers 2002.00949, arXiv.org.
    9. Fildes, Robert, 2006. "The forecasting journals and their contribution to forecasting research: Citation analysis and expert opinion," International Journal of Forecasting, Elsevier, vol. 22(3), pages 415-432.

  31. J. Scott Armstrong, 2006. "Should the Forecasting Process Eliminate Face-to-Face Meetings?," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 5, pages 3-8, Fall.

    Cited by:

    1. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182.
    2. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182, January.
    3. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.

  32. Armstrong, J. Scott, 2006. "Findings from evidence-based forecasting: Methods for reducing forecast error," International Journal of Forecasting, Elsevier, vol. 22(3), pages 583-598.

    Cited by:

    1. Armstrong, J. Scott, 2007. "Significance Tests Harm Progress in Forecasting," MPRA Paper 81664, University Library of Munich, Germany.
    2. Kesten C. Green & J. Scott Armstrong, 2004. "Structured analogies for forecasting," Monash Econometrics and Business Statistics Working Papers 17/04, Monash University, Department of Econometrics and Business Statistics.
    3. Amare Tesfaw & Feyera Senbeta & Dawit Alemu & Ermias Teferi, 2021. "Value Chain Analysis of Eucalyptus Wood Products in the Blue Nile Highlands of Northwestern Ethiopia," Sustainability, MDPI, vol. 13(22), pages 1-25, November.
    4. Barrow, Devon & Kourentzes, Nikolaos, 2018. "The impact of special days in call arrivals forecasting: A neural network approach to modelling special days," European Journal of Operational Research, Elsevier, vol. 264(3), pages 967-977.
    5. Lu, Emiao & Handl, Julia & Xu, Dong-ling, 2018. "Determining analogies based on the integration of multiple information sources," International Journal of Forecasting, Elsevier, vol. 34(3), pages 507-528.
    6. Önkal, Dilek & Lawrence, Michael & Zeynep SayIm, K., 2011. "Influence of differentiated roles on group forecasting accuracy," International Journal of Forecasting, Elsevier, vol. 27(1), pages 50-68, January.
    7. Zeng, Michael A. & Koller, Hans & Jahn, Reimo, 2019. "Open radar groups: The integration of online communities into open foresight processes," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 204-217.
    8. Theodosiou, Marina, 2011. "Forecasting monthly and quarterly time series using STL decomposition," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1178-1195, October.
    9. Crone, Sven F. & Hibon, Michèle & Nikolopoulos, Konstantinos, 2011. "Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction," International Journal of Forecasting, Elsevier, vol. 27(3), pages 635-660.
    10. Zeng, Michael A., 2018. "Foresight by online communities – The case of renewable energies," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 27-42.
    11. Kauko, Karlo & Palmroos, Peter, 2014. "The Delphi method in forecasting financial markets— An experimental study," International Journal of Forecasting, Elsevier, vol. 30(2), pages 313-327.
    12. Voss, Kevin E., 2011. "Voss wins the Presidency! A commentary essay on "Predicting elections from biographical information about candidates: A test of the index method"," Journal of Business Research, Elsevier, vol. 64(4), pages 345-347, April.
    13. Makridakis, Spyros & Hyndman, Rob J. & Petropoulos, Fotios, 2020. "Forecasting in social settings: The state of the art," International Journal of Forecasting, Elsevier, vol. 36(1), pages 15-28.
    14. Tsionas, Mike G., 2022. "Random and Markov switching exponential smoothing models," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    15. Hill, Arthur V. & Zhang, Weiyong & Burch, Gerald F., 2015. "Forecasting the forecastability quotient for inventory management," International Journal of Forecasting, Elsevier, vol. 31(3), pages 651-663.
    16. Claudimar Pereira da Veiga & Cássia Rita Pereira da Veiga & Felipe Mendes Girotto & Diego Antonio Bittencourt Marconatto & Zhaohui Su, 2024. "Implementation of the ARIMA model for prediction of economic variables: evidence from the health sector in Brazil," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    17. Hloušková, Z. & Lekešová, M. & Slížka, E., 2014. "Microsimulation Model Estimating Czech Farm Income from Farm Accountancy Data Network Database," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(3), pages 1-11, September.
    18. McKenzie, Eddie & Gardner Jr., Everette S., 2010. "Damped trend exponential smoothing: A modelling viewpoint," International Journal of Forecasting, Elsevier, vol. 26(4), pages 661-665, October.
    19. Jeff Tayman & David A. Swanson, 2025. "A Simplified Version of the Hamilton–Perry Method for Forecasting Population by Age Group and Gender," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 44(3), pages 1-33, June.
    20. Armstrong, J. Scott & Fildes, Robert, 2006. "Making progress in forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 433-441.
    21. Schaer, Oliver & Kourentzes, Nikolaos & Fildes, Robert, 2019. "Demand forecasting with user-generated online information," International Journal of Forecasting, Elsevier, vol. 35(1), pages 197-212.
    22. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    23. Gardner Jr., Everette S. & Diaz-Saiz, Joaquin, 2008. "Exponential smoothing in the telecommunications data," International Journal of Forecasting, Elsevier, vol. 24(1), pages 170-174.
    24. Konstantinos Nikolopoulos & Waleed S. Alghassab & Konstantia Litsiou & Stelios Sapountzis, 2019. "Long-Term Economic Forecasting with Structured Analogies and Interaction Groups," Working Papers 19018, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    25. Gomez, Yolanda & Rios, Jesus & Rios Insua, David & Vila, Jose, 2025. "Forecasting adversarial actions using judgment decomposition-recomposition," International Journal of Forecasting, Elsevier, vol. 41(1), pages 76-91.
    26. George Athanasopoulos & Rob J Hyndman & Haiyan Song & Doris C Wu, 2008. "The tourism forecasting competition," Monash Econometrics and Business Statistics Working Papers 10/08, Monash University, Department of Econometrics and Business Statistics, revised Oct 2009.
    27. Gardner, Everette S., 2015. "Conservative forecasting with the damped trend," Journal of Business Research, Elsevier, vol. 68(8), pages 1739-1741.
    28. Giacomo Sbrana & Andrea Silvestrini, 2014. "Random switching exponential smoothing and inventory forecasting," Temi di discussione (Economic working papers) 971, Bank of Italy, Economic Research and International Relations Area.
    29. Perera, H. Niles & Hurley, Jason & Fahimnia, Behnam & Reisi, Mohsen, 2019. "The human factor in supply chain forecasting: A systematic review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 574-600.
    30. Dai, Hongyan & Xiao, Qin & Chen, Songlin & Zhou, Weihua, 2023. "Data-driven demand forecast for O2O operations: An adaptive hierarchical incremental approach," International Journal of Production Economics, Elsevier, vol. 259(C).
    31. Bera, Soumitra Kumar, 2010. "Forecasting model of small scale industrial sector of West Bengal," MPRA Paper 28144, University Library of Munich, Germany.
    32. Arvan, Meysam & Fahimnia, Behnam & Reisi, Mohsen & Siemsen, Enno, 2019. "Integrating human judgement into quantitative forecasting methods: A review," Omega, Elsevier, vol. 86(C), pages 237-252.
    33. Sbrana, Giacomo & Silvestrini, Andrea, 2019. "Random switching exponential smoothing: A new estimation approach," International Journal of Production Economics, Elsevier, vol. 211(C), pages 211-220.
    34. Fildes, Robert & Petropoulos, Fotios, 2015. "Is there a Golden Rule?," Journal of Business Research, Elsevier, vol. 68(8), pages 1742-1745.
    35. Adeodato, Paulo J.L. & Arnaud, Adrian L. & Vasconcelos, Germano C. & Cunha, Rodrigo C.L.V. & Monteiro, Domingos S.M.P., 2011. "MLP ensembles improve long term prediction accuracy over single networks," International Journal of Forecasting, Elsevier, vol. 27(3), pages 661-671, July.
    36. Önkal, Dilek & Lawrence, Michael & Zeynep Sayım, K., 2011. "Influence of differentiated roles on group forecasting accuracy," International Journal of Forecasting, Elsevier, vol. 27(1), pages 50-68.
    37. Alvarado-Valencia, Jorge & Barrero, Lope H. & Önkal, Dilek & Dennerlein, Jack T., 2017. "Expertise, credibility of system forecasts and integration methods in judgmental demand forecasting," International Journal of Forecasting, Elsevier, vol. 33(1), pages 298-313.
    38. Green, Kesten C. & Armstrong, J. Scott, 2007. "Global warming: Forecasts by scientists versus scientific forecasts," MPRA Paper 4361, University Library of Munich, Germany.
    39. Tine Van Calster & Filip Van den Bossche & Bart Baesens & Wilfried Lemahieu, 2020. "Profit-oriented sales forecasting: a comparison of forecasting techniques from a business perspective," Papers 2002.00949, arXiv.org.
    40. Ivanovski, Zoran & Milenkovski, Ace & Narasanov, Zoran, 2018. "Time Series Forecasting Using A Moving Average Model For Extrapolation Of Number Of Tourist," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 9(2), pages 121-132.
    41. Lang, Mark & Bharadwaj, Neeraj & Di Benedetto, C. Anthony, 2016. "How crowdsourcing improves prediction of market-oriented outcomes," Journal of Business Research, Elsevier, vol. 69(10), pages 4168-4176.
    42. Robert Fildes & Paul Goodwin, 2007. "Against Your Better Judgment? How Organizations Can Improve Their Use of Management Judgment in Forecasting," Interfaces, INFORMS, vol. 37(6), pages 570-576, December.
    43. Arora, Siddharth & Taylor, James W., 2018. "Rule-based autoregressive moving average models for forecasting load on special days: A case study for France," European Journal of Operational Research, Elsevier, vol. 266(1), pages 259-268.
    44. Etaf Alshawarbeh & Alanazi Talal Abdulrahman & Eslam Hussam, 2023. "Statistical Modeling of High Frequency Datasets Using the ARIMA-ANN Hybrid," Mathematics, MDPI, vol. 11(22), pages 1-17, November.
    45. Carmona-Benítez, Rafael Bernardo & Nieto, María Rosa, 2020. "SARIMA damp trend grey forecasting model for airline industry," Journal of Air Transport Management, Elsevier, vol. 82(C).
    46. Giacomo Sbrana, 2010. "Forecasting damped trend exponential smoothing: an algebraic viewpoint," Working Papers 10-08, Association Française de Cliométrie (AFC).
    47. Fildes, Robert, 2006. "The forecasting journals and their contribution to forecasting research: Citation analysis and expert opinion," International Journal of Forecasting, Elsevier, vol. 22(3), pages 415-432.
    48. Song, Haiyan & Gao, Bastian Z. & Lin, Vera S., 2013. "Combining statistical and judgmental forecasts via a web-based tourism demand forecasting system," International Journal of Forecasting, Elsevier, vol. 29(2), pages 295-310.

  33. Armstrong, J. Scott & Collopy, Fred & Yokum, J. Thomas, 2005. "Decomposition by causal forces: a procedure for forecasting complex time series," International Journal of Forecasting, Elsevier, vol. 21(1), pages 25-36.
    See citations under working paper version above.
  34. J. Scott Armstrong, 2005. "The Forecasting Canon: Nine Generalizations to Improve Forecast Accuracy," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 1, pages 29-35, June.

    Cited by:

    1. Brighton, Henry & Gigerenzer, Gerd, 2015. "The bias bias," Journal of Business Research, Elsevier, vol. 68(8), pages 1772-1784.
    2. Etienne Theising, 2024. "Distributional Reference Class Forecasting of Corporate Sales Growth With Multiple Reference Variables," Papers 2405.03402, arXiv.org.
    3. Sanchez-Ubeda, Eugenio Fco. & Berzosa, Ana, 2007. "Modeling and forecasting industrial end-use natural gas consumption," Energy Economics, Elsevier, vol. 29(4), pages 710-742, July.
    4. P. J. Lamberson & Scott E. Page, 2012. "Optimal Forecasting Groups," Management Science, INFORMS, vol. 58(4), pages 805-810, April.
    5. Bera, Soumitra Kumar, 2010. "Forecasting model of small scale industrial sector of West Bengal," MPRA Paper 28144, University Library of Munich, Germany.
    6. Etienne Theising & Dominik Wied & Daniel Ziggel, 2023. "Reference class selection in similarity‐based forecasting of corporate sales growth," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1069-1085, August.
    7. Tang, Hui-Wen Vivian & Yin, Mu-Shang, 2012. "Forecasting performance of grey prediction for education expenditure and school enrollment," Economics of Education Review, Elsevier, vol. 31(4), pages 452-462.
    8. Karvetski, Christopher W. & Meinel, Carolyn & Maxwell, Daniel T. & Lu, Yunzi & Mellers, Barbara A. & Tetlock, Philip E., 2022. "What do forecasting rationales reveal about thinking patterns of top geopolitical forecasters?," International Journal of Forecasting, Elsevier, vol. 38(2), pages 688-704.

  35. Alfred Cuzan & J. Scott Armstrong & Randall J. Jones, Jr., 2005. "How We Computed the Pollyvote," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 1, pages 51-52, June.

    Cited by:

    1. Philippe Mongrain & Richard Nadeau & Bruno Jérôme, 2021. "Playing the synthesizer with Canadian data: Adding polls to a structural forecasting model," Post-Print hal-04120423, HAL.
    2. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzan, Alfred G., 2017. "Assessing the 2016 U.S. Presidential Election Popular Vote Forecasts," MPRA Paper 83282, University Library of Munich, Germany.
    3. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzán, Alfred G., 2014. "Combining forecasts: An application to elections," International Journal of Forecasting, Elsevier, vol. 30(1), pages 43-54.
    4. Graefe, Andreas, 2019. "Accuracy of German federal election forecasts, 2013 & 2017," International Journal of Forecasting, Elsevier, vol. 35(3), pages 868-877.

  36. Armstrong, J. Scott, 2004. "Damped seasonality factors: Introduction," International Journal of Forecasting, Elsevier, vol. 20(4), pages 525-527.
    See citations under working paper version above.
  37. Armstrong, J. Scott, 2003. "Discovery and communication of important marketing findings: Evidence and proposals," Journal of Business Research, Elsevier, vol. 56(1), pages 69-84, January.
    See citations under working paper version above.
  38. J. Scott Armstrong & Ruth Pagell, 2003. "The Ombudsman: Reaping Benefits from Management Research: Lessons from the Forecasting Principles Project," Interfaces, INFORMS, vol. 33(6), pages 91-111, December.

    Cited by:

    1. Rianne Legerstee & Philip Hans Franses, 2011. "Do Experts' SKU Forecasts improve after Feedback?," Tinbergen Institute Discussion Papers 11-135/4, Tinbergen Institute.
    2. Armstrong, J. Scott, 2006. "Findings from evidence-based forecasting: Methods for reducing forecast error," International Journal of Forecasting, Elsevier, vol. 22(3), pages 583-598.
    3. Ortinau, David J., 2011. "Writing and publishing important scientific articles: A reviewer's perspective," Journal of Business Research, Elsevier, vol. 64(2), pages 150-156, February.
    4. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182.
    5. Armstrong, J. Scott & Fildes, Robert, 2006. "Making progress in forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 433-441.
    6. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182, January.
    7. Geuens, Maggie, 2011. "Where does business research go from here? Food-for-thought on academic papers in business research," Journal of Business Research, Elsevier, vol. 64(10), pages 1104-1107, October.
    8. JS Armstrong, 2005. "Incentives for Developing and Communicating Principles: A Reply," General Economics and Teaching 0502049, University Library of Munich, Germany.
    9. JS Armstrong & Ruth Pagell, 2005. "Reaping Benefits from Management Research: Lessons from the Forecasting Principles Project, with Reply to Commentators," General Economics and Teaching 0502048, University Library of Munich, Germany.
    10. Robert Fildes & Paul Goodwin, 2007. "Against Your Better Judgment? How Organizations Can Improve Their Use of Management Judgment in Forecasting," Interfaces, INFORMS, vol. 37(6), pages 570-576, December.

  39. Armstrong, J. Scott, 2002. "Assessing game theory, role playing, and unaided judgment," International Journal of Forecasting, Elsevier, vol. 18(3), pages 345-352.
    See citations under working paper version above.
  40. Armstrong, J. Scott, 2002. ""How useful are the forecasts of intergovernmental agencies? The IMF and OECD versus the consensus": Batchelor, Roy (2001), Applied Economics, 33, pp. 225-235. E-mail address: R.A.Batchelor@," International Journal of Forecasting, Elsevier, vol. 18(3), pages 482-483.

    Cited by:

    1. Vuchelen, Jef & Gutierrez, Maria-Isabel, 2005. "A direct test of the information content of the OECD growth forecasts," International Journal of Forecasting, Elsevier, vol. 21(1), pages 103-117.

  41. Adya, Monica & Collopy, Fred & Armstrong, J. Scott & Kennedy, Miles, 2001. "Automatic identification of time series features for rule-based forecasting," International Journal of Forecasting, Elsevier, vol. 17(2), pages 143-157.

    Cited by:

    1. Kang, Yanfei & Spiliotis, Evangelos & Petropoulos, Fotios & Athiniotis, Nikolaos & Li, Feng & Assimakopoulos, Vassilios, 2021. "Déjà vu: A data-centric forecasting approach through time series cross-similarity," Journal of Business Research, Elsevier, vol. 132(C), pages 719-731.
    2. Edward J. Lusk, 2019. "Time Series Forecasting in Stock Trading Markets: The Turning Point Curiosity," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 8(4), pages 01-16, July.
    3. Manuel Bern & Edward Lusk, 2020. "The Reduced Rules Rule Based Forecasting Decision Support System: Details and Functionalities: An Audit Context," Accounting and Finance Research, Sciedu Press, vol. 9(3), pages 1-13, August.
    4. Gerunov, Anton, 2016. "Automating Analytics: Forecasting Time Series in Economics and Business," MPRA Paper 71010, University Library of Munich, Germany.
    5. Petropoulos, Fotios & Makridakis, Spyros & Assimakopoulos, Vassilios & Nikolopoulos, Konstantinos, 2014. "‘Horses for Courses’ in demand forecasting," European Journal of Operational Research, Elsevier, vol. 237(1), pages 152-163.
    6. Makridakis, Spyros & Hyndman, Rob J. & Petropoulos, Fotios, 2020. "Forecasting in social settings: The state of the art," International Journal of Forecasting, Elsevier, vol. 36(1), pages 15-28.
    7. Fotios Petropoulos & Enno Siemsen, 2023. "Forecast Selection and Representativeness," Management Science, INFORMS, vol. 69(5), pages 2672-2690, May.
    8. Armstrong, J. Scott, 2006. "Findings from evidence-based forecasting: Methods for reducing forecast error," International Journal of Forecasting, Elsevier, vol. 22(3), pages 583-598.
    9. Thiyanga S. Talagala & Feng Li & Yanfei Kang, 2019. "Feature-based Forecast-Model Performance Prediction," Monash Econometrics and Business Statistics Working Papers 21/19, Monash University, Department of Econometrics and Business Statistics.
    10. Thomassey, Sebastien & Happiette, Michel & Castelain, Jean Marie, 2005. "A short and mean-term automatic forecasting system--application to textile logistics," European Journal of Operational Research, Elsevier, vol. 161(1), pages 275-284, February.
    11. Talagala, Thiyanga S. & Li, Feng & Kang, Yanfei, 2022. "FFORMPP: Feature-based forecast model performance prediction," International Journal of Forecasting, Elsevier, vol. 38(3), pages 920-943.
    12. Robert Fildes & Gary Madden & Joachim Tan, 2007. "Optimal forecasting model selection and data characteristics," Applied Financial Economics, Taylor & Francis Journals, vol. 17(15), pages 1251-1264.
    13. Arvan, Meysam & Fahimnia, Behnam & Reisi, Mohsen & Siemsen, Enno, 2019. "Integrating human judgement into quantitative forecasting methods: A review," Omega, Elsevier, vol. 86(C), pages 237-252.
    14. Han, Weiwei & Wang, Xun & Petropoulos, Fotios & Wang, Jing, 2019. "Brain imaging and forecasting: Insights from judgmental model selection," Omega, Elsevier, vol. 87(C), pages 1-9.
    15. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.
    16. Fildes, Robert & Petropoulos, Fotios, 2015. "Simple versus complex selection rules for forecasting many time series," Journal of Business Research, Elsevier, vol. 68(8), pages 1692-1701.
    17. James W. Taylor, 2004. "Smooth transition exponential smoothing," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(6), pages 385-404.
    18. Fildes, Robert & Petropoulos, Fotios, 2013. "An evaluation of simple forecasting model selection rules," MPRA Paper 51772, University Library of Munich, Germany.
    19. Gardner, Everette Jr., 2006. "Exponential smoothing: The state of the art--Part II," International Journal of Forecasting, Elsevier, vol. 22(4), pages 637-666.
    20. Graff, Mario & Peña, Rafael & Medina, Aurelio & Escalante, Hugo Jair, 2014. "Wind speed forecasting using a portfolio of forecasters," Renewable Energy, Elsevier, vol. 68(C), pages 550-559.
    21. Thiyanga S Talagala & Rob J Hyndman & George Athanasopoulos, 2018. "Meta-learning how to forecast time series," Monash Econometrics and Business Statistics Working Papers 6/18, Monash University, Department of Econometrics and Business Statistics.
    22. Manuel R. Arahal & Manuel G. Ortega & Manuel G. Satué, 2021. "Chiller Load Forecasting Using Hyper-Gaussian Nets," Energies, MDPI, vol. 14(12), pages 1-15, June.
    23. Adya, Monica & Armstrong, J. Scott & Collopy, Fred & Kennedy, Miles, 2000. "An application of rule-based forecasting to a situation lacking domain knowledge," International Journal of Forecasting, Elsevier, vol. 16(4), pages 477-484.

  42. Armstrong, J Scott & Collopy, Fred, 2001. "Identification of Asymmetric Prediction Intervals through Causal Forces," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(4), pages 273-283, July.

    Cited by:

    1. J. S. Armstrong & R. Brodie, 2005. "Forecasting for Marketing," General Economics and Teaching 0502018, University Library of Munich, Germany.
    2. J. Scott Armstrong & Kesten C. Green, 2005. "Demand Forecasting: Evidence-based Methods," Monash Econometrics and Business Statistics Working Papers 24/05, Monash University, Department of Econometrics and Business Statistics.
    3. Armstrong, J. Scott & Collopy, Fred & Yokum, J. Thomas, 2005. "Decomposition by causal forces: a procedure for forecasting complex time series," International Journal of Forecasting, Elsevier, vol. 21(1), pages 25-36.

  43. Armstrong, J. Scott & Morwitz, Vicki G. & Kumar, V., 2000. "Sales forecasts for existing consumer products and services: Do purchase intentions contribute to accuracy?," International Journal of Forecasting, Elsevier, vol. 16(3), pages 383-397.
    See citations under working paper version above.
  44. Adya, Monica & Armstrong, J. Scott & Collopy, Fred & Kennedy, Miles, 2000. "An application of rule-based forecasting to a situation lacking domain knowledge," International Journal of Forecasting, Elsevier, vol. 16(4), pages 477-484.

    Cited by:

    1. Crone, Sven F. & Hibon, Michèle & Nikolopoulos, Konstantinos, 2011. "Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction," International Journal of Forecasting, Elsevier, vol. 27(3), pages 635-660.
    2. Petropoulos, Fotios & Makridakis, Spyros & Assimakopoulos, Vassilios & Nikolopoulos, Konstantinos, 2014. "‘Horses for Courses’ in demand forecasting," European Journal of Operational Research, Elsevier, vol. 237(1), pages 152-163.
    3. Armstrong, J. Scott, 2006. "Findings from evidence-based forecasting: Methods for reducing forecast error," International Journal of Forecasting, Elsevier, vol. 22(3), pages 583-598.
    4. Talagala, Thiyanga S. & Li, Feng & Kang, Yanfei, 2022. "FFORMPP: Feature-based forecast model performance prediction," International Journal of Forecasting, Elsevier, vol. 38(3), pages 920-943.
    5. Sanders, Nada R. & Manrodt, Karl B., 2003. "The efficacy of using judgmental versus quantitative forecasting methods in practice," Omega, Elsevier, vol. 31(6), pages 511-522, December.
    6. Arvan, Meysam & Fahimnia, Behnam & Reisi, Mohsen & Siemsen, Enno, 2019. "Integrating human judgement into quantitative forecasting methods: A review," Omega, Elsevier, vol. 86(C), pages 237-252.
    7. Hamulczuk, Mariusz & Grudkowska, Sylwia & Gędek, Stanisław & Klimkowski, Cezary & Stańko, Stanisław, 2013. "Essential econometric methods of forecasting agricultural commodity prices," Multiannual Program Reports 164834, Institute of Agricultural and Food Economics - National Research Institute (IAFE-NRI).
    8. Adya, Monica & Collopy, Fred & Armstrong, J. Scott & Kennedy, Miles, 2001. "Automatic identification of time series features for rule-based forecasting," International Journal of Forecasting, Elsevier, vol. 17(2), pages 143-157.
    9. Arora, Siddharth & Taylor, James W., 2018. "Rule-based autoregressive moving average models for forecasting load on special days: A case study for France," European Journal of Operational Research, Elsevier, vol. 266(1), pages 259-268.
    10. Graff, Mario & Peña, Rafael & Medina, Aurelio & Escalante, Hugo Jair, 2014. "Wind speed forecasting using a portfolio of forecasters," Renewable Energy, Elsevier, vol. 68(C), pages 550-559.

  45. J. Scott Armstrong, 1996. "The Ombudsman: Management Folklore and Management Science—On Portfolio Planning, Escalation Bias, and Such," Interfaces, INFORMS, vol. 26(4), pages 25-55, August.

    Cited by:

    1. Hugh J. Miser, 1998. "The Easy Chair: Journal Editing as I See It," Interfaces, INFORMS, vol. 28(5), pages 115-123, October.
    2. J. Scott Armstrong & Ruth Pagell, 2003. "The Ombudsman: Reaping Benefits from Management Research: Lessons from the Forecasting Principles Project," Interfaces, INFORMS, vol. 33(6), pages 91-111, December.
    3. Hensel, Przemysław G., 2021. "Reproducibility and replicability crisis: How management compares to psychology and economics – A systematic review of literature," European Management Journal, Elsevier, vol. 39(5), pages 577-594.
    4. Hugh J. Miser, 1998. "The Ombudsman: Reaction to Armstrong's “Management Folklore and Management Science”," Interfaces, INFORMS, vol. 28(4), pages 81-93, August.
    5. Faragalla Widad Atena & Adriana Tiron-Tudor, 2019. "Gender as a Dimension of Inequality in Accounting Organizations and Developmental HR Strategies," Administrative Sciences, MDPI, vol. 10(1), pages 1-24, December.
    6. Malcolm Wright & J. Scott Armstrong, 2008. "The Ombudsman: Verification of Citations: Fawlty Towers of Knowledge?," Interfaces, INFORMS, vol. 38(2), pages 125-139, April.

  46. Armstrong, J. Scott, 1996. "Journal of economic literature : Clifford Winston, 1993, Economic deregulation: Days of reckoning for microeconomists, 31, 1263-1289," International Journal of Forecasting, Elsevier, vol. 12(1), pages 183-184, March.

    Cited by:

    1. Albiol, Judit, 2014. "The Significance of Business Exit for Future Entrepreneurial Activity," Working Papers 2072/238221, Universitat Rovira i Virgili, Department of Economics.
    2. Chudnovsky, Daniel & López, Andrés & Rossi, Martín & Ubfal, Diego, 2006. "Evaluating a Program of Public Funding of Scientific Activity: A Case Study of FONCYT in Argentina," IDB Publications (Working Papers) 2831, Inter-American Development Bank.
    3. Nicolas Carayol, 2006. "La production de brevets par les chercheurs et enseignants-chercheurs. Le cas de l'université Louis Pasteur," Économie et Prévision, Programme National Persée, vol. 175(4), pages 117-134.
    4. José Miguel Benavente & Gustavo Crespi & Alessandro Maffioli, 2007. "The Impact of National Research Funds: An Evaluation of the Chilean FONDECYT," OVE Working Papers 0307, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).

  47. Armstrong, J. Scott, 1996. "Publication of research on controversial topics: The early acceptance procedure," International Journal of Forecasting, Elsevier, vol. 12(2), pages 299-302, June.

    Cited by:

    1. Kathleen Rodenburg & Michael Rowan & Andrew Nixon & Julia Christensen Hughes, 2022. "The Misalignment of the FT50 with the Achievement of the UN’s SDGs: A Call for Responsible Research Assessment by Business Schools," Sustainability, MDPI, vol. 14(15), pages 1-33, August.

  48. Yokuma, J. Thomas & Armstrong, J. Scott, 1995. "Beyond accuracy: Comparison of criteria used to select forecasting methods," International Journal of Forecasting, Elsevier, vol. 11(4), pages 591-597, December.

    Cited by:

    1. Guo, Zhenhai & Zhao, Jing & Zhang, Wenyu & Wang, Jianzhou, 2011. "A corrected hybrid approach for wind speed prediction in Hexi Corridor of China," Energy, Elsevier, vol. 36(3), pages 1668-1679.
    2. Sinan Gönül & Dilek Önkal & Paul Goodwin, 2009. "Expectations, use and judgmental adjustment of external financial and economic forecasts: an empirical investigation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(1), pages 19-37.
    3. Chang, Che-Jung & Li, Der-Chiang & Huang, Yi-Hsiang & Chen, Chien-Chih, 2015. "A novel gray forecasting model based on the box plot for small manufacturing data sets," Applied Mathematics and Computation, Elsevier, vol. 265(C), pages 400-408.
    4. Stefan Rayer, 2007. "Population forecast accuracy: does the choice of summary measure of error matter?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(2), pages 163-184, April.
    5. Che-Jung Chang & Liping Yu & Peng Jin, 2016. "A mega-trend-diffusion grey forecasting model for short-term manufacturing demand," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(12), pages 1439-1445, December.
    6. Smith, Stanley K., 1997. "Further thoughts on simplicity and complexity in population projection models," International Journal of Forecasting, Elsevier, vol. 13(4), pages 557-565, December.
    7. Richard E Klosterman, 2012. "Simple and Complex Models," Environment and Planning B, , vol. 39(1), pages 1-6, February.
    8. Che-Jung Chang & Jan-Yan Lin & Peng Jin, 2017. "A grey modeling procedure based on the data smoothing index for short-term manufacturing demand forecast," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 409-422, September.
    9. Chin-Mei Chou & Shu Fen Hsieh & Hsi Peng Tseng, 2014. "The Crowding-out Effects of Chinese Tourists on Inbound Tourism in Taiwan," Tourism Economics, , vol. 20(6), pages 1235-1251, December.
    10. JS Armstrong & Fred Collopy, 2004. "Integration of Statistical Methods and Judgment for Time Series," General Economics and Teaching 0412024, University Library of Munich, Germany.
    11. Li, Der-Chiang & Chang, Che-Jung & Chen, Chien-Chih & Chen, Wen-Chih, 2012. "Forecasting short-term electricity consumption using the adaptive grey-based approach—An Asian case," Omega, Elsevier, vol. 40(6), pages 767-773.
    12. Nada R. Sanders & Karl B. Manrodt, 2003. "Forecasting Software in Practice: Use, Satisfaction, and Performance," Interfaces, INFORMS, vol. 33(5), pages 90-93, October.
    13. Veiga, Claudimar Pereira da & Veiga, Cássia Rita Pereira da & Puchalski, Weslly & Coelho, Leandro dos Santos & Tortato, Ubiratã, 2016. "Demand forecasting based on natural computing approaches applied to the foodstuff retail segment," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 174-181.
    14. Wu, Chunying & Wang, Jianzhou & Chen, Xuejun & Du, Pei & Yang, Wendong, 2020. "A novel hybrid system based on multi-objective optimization for wind speed forecasting," Renewable Energy, Elsevier, vol. 146(C), pages 149-165.
    15. Chethana Dharmawardane & Ville Sillanpää & Jan Holmström, 2021. "High-frequency forecasting for grocery point-of-sales: intervention in practice and theoretical implications for operational design," Operations Management Research, Springer, vol. 14(1), pages 38-60, June.
    16. Shuyun Ren & Hau-Ling Chan & Pratibha Ram, 2017. "A Comparative Study on Fashion Demand Forecasting Models with Multiple Sources of Uncertainty," Annals of Operations Research, Springer, vol. 257(1), pages 335-355, October.
    17. Xu, Bing & Ouenniche, Jamal, 2012. "A data envelopment analysis-based framework for the relative performance evaluation of competing crude oil prices' volatility forecasting models," Energy Economics, Elsevier, vol. 34(2), pages 576-583.
    18. Williams, Dan W. & Miller, Don, 1999. "Level-adjusted exponential smoothing for modeling planned discontinuities1," International Journal of Forecasting, Elsevier, vol. 15(3), pages 273-289, July.
    19. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.
    20. Che-Jung Chang & Guiping Li & Shao-Qing Zhang & Kun-Peng Yu, 2019. "Employing a Fuzzy-Based Grey Modeling Procedure to Forecast China’s Sulfur Dioxide Emissions," IJERPH, MDPI, vol. 16(14), pages 1-10, July.
    21. Adya, Monica & Collopy, Fred & Armstrong, J. Scott & Kennedy, Miles, 2001. "Automatic identification of time series features for rule-based forecasting," International Journal of Forecasting, Elsevier, vol. 17(2), pages 143-157.
    22. Robert Fildes & Paul Goodwin, 2007. "Against Your Better Judgment? How Organizations Can Improve Their Use of Management Judgment in Forecasting," Interfaces, INFORMS, vol. 37(6), pages 570-576, December.
    23. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "A trigonometric grey prediction approach to forecasting electricity demand," Energy, Elsevier, vol. 31(14), pages 2839-2847.
    24. Konstantinos Petridis & Nikolaos E. Petridis & Fouad Ben Abdelaziz & Hatem Masri, 2023. "Ranking econometric techniques using geometrical Benefit of Doubt," Annals of Operations Research, Springer, vol. 330(1), pages 411-430, November.
    25. Eksoz, Can & Mansouri, S. Afshin & Bourlakis, Michael & Önkal, Dilek, 2019. "Judgmental adjustments through supply integration for strategic partnerships in food chains," Omega, Elsevier, vol. 87(C), pages 20-33.
    26. Emrouznejad, Ali & Rostami-Tabar, Bahman & Petridis, Konstantinos, 2016. "A novel ranking procedure for forecasting approaches using Data Envelopment Analysis," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 235-243.
    27. Khim-Sen Liew & Kian-Ping Lim & Chee-Keong Choong, 2003. "On The Forecastability Of Asean-5 Stock Markets Returns Using Time Series Models," Finance 0307012, University Library of Munich, Germany.

  49. MacGregor, Donald G. & Armstrong, J. Scott, 1994. "Judgmental decomposition: when does it work?," International Journal of Forecasting, Elsevier, vol. 10(4), pages 495-506, December.

    Cited by:

    1. Goodwin, Paul, 2015. "Is a more liberal approach to conservatism needed in forecasting?," Journal of Business Research, Elsevier, vol. 68(8), pages 1753-1754.
    2. Yun Shin Lee & Enno Siemsen, 2017. "Task Decomposition and Newsvendor Decision Making," Management Science, INFORMS, vol. 63(10), pages 3226-3245, October.

  50. Armstrong, J. Scott, 1994. "The fertile field of meta-analysis: Cumulative progress in agricultural forecasting," International Journal of Forecasting, Elsevier, vol. 10(1), pages 147-149, June.

    Cited by:

    1. Griffin, Terry Wayne & Zapata, Samuel D., 2015. "Optimal Cotton Insecticide Application Termination Timing: A Meta-Analysis," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196815, Southern Agricultural Economics Association.

  51. J. Scott Armstrong & Tad Sperry, 1994. "The Ombudsman: Business School Prestige—Research versus Teaching," Interfaces, INFORMS, vol. 24(2), pages 13-43, April.

    Cited by:

    1. Carè, R. & Weber, O., 2023. "How much finance is in climate finance? A bibliometric review, critiques, and future research directions," Research in International Business and Finance, Elsevier, vol. 64(C).
    2. Vicente Safón & Domingo Docampo, 2020. "Analyzing the impact of reputational bias on global university rankings based on objective research performance data: the case of the Shanghai Ranking (ARWU)," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2199-2227, December.
    3. Armstrong, J. Scott, 2012. "Natural Learning in Higher Education," MPRA Paper 37648, University Library of Munich, Germany.
    4. Gitika Nagrath & Amarjit S. Sidhu, 2018. "Antecedents Determining Quality of Management Education in Punjab: A Student’s Outlook," Metamorphosis: A Journal of Management Research, , vol. 17(1), pages 18-27, June.
    5. Rebecca Long & Aleta Crawford & Michael White & Kimberly Davis, 2009. "Determinants of faculty research productivity in information systems: An empirical analysis of the impact of academic origin and academic affiliation," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 231-260, February.
    6. Vicente Safón, 2019. "Inter-ranking reputational effects: an analysis of the Academic Ranking of World Universities (ARWU) and the Times Higher Education World University Rankings (THE) reputational relationship," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 897-915, November.
    7. Vicente Safón, 2013. "What do global university rankings really measure? The search for the X factor and the X entity," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 223-244, November.

  52. Fred Collopy & Monica Adya & J. Scott Armstrong, 1994. "Research Report—Principles for Examining Predictive Validity: The Case of Information Systems Spending Forecasts," Information Systems Research, INFORMS, vol. 5(2), pages 170-179, June.

    Cited by:

    1. Jan Svanberg & Tohid Ardeshiri & Isak Samsten & Peter Öhman & Presha E. Neidermeyer & Tarek Rana & Natalia Semenova & Mats Danielson, 2022. "Corporate governance performance ratings with machine learning," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(1), pages 50-68, January.
    2. Korbinian Dress & Stefan Lessmann & Hans-Jorg von Mettenheim, 2017. "Residual Value Forecasting Using Asymmetric Cost Functions," Papers 1707.02736, arXiv.org.
    3. Robert G. Biscontri, 2012. "A Radial Basis Function Approach To Earnings Forecast," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(1), pages 1-18, January.

  53. Armstrong, J. Scott, 1993. "Municipal forecasting practice: 'Demand' and 'supply' side perspectives" : Howard A. Frank and Jane McCollough, International Journal of Public Administration, 15 (1992) 1669-1696," International Journal of Forecasting, Elsevier, vol. 9(1), pages 137-137, April.

    Cited by:

    1. Ilya Prakhov & Maria Bocharova, 2016. "Socio-Economic Predictors of Student Mobility," HSE Working papers WP BRP 34/EDU/2016, National Research University Higher School of Economics.

  54. Fred Collopy & J. Scott Armstrong, 1992. "Rule-Based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations," Management Science, INFORMS, vol. 38(10), pages 1394-1414, October.
    See citations under working paper version above.
  55. Collopy, Fred & Armstrong, J. Scott, 1992. "Expert opinions about extrapolation and the mystery of the overlooked discontinuities," International Journal of Forecasting, Elsevier, vol. 8(4), pages 575-582, December.

    Cited by:

    1. Yokuma, J. Thomas & Armstrong, J. Scott, 1995. "Beyond accuracy: Comparison of criteria used to select forecasting methods," International Journal of Forecasting, Elsevier, vol. 11(4), pages 591-597, December.
    2. Sinan Gönül & Dilek Önkal & Paul Goodwin, 2009. "Expectations, use and judgmental adjustment of external financial and economic forecasts: an empirical investigation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(1), pages 19-37.
    3. Lin, Vera Shanshan & Goodwin, Paul & Song, Haiyan, 2014. "Accuracy and bias of experts’ adjusted forecasts," Annals of Tourism Research, Elsevier, vol. 48(C), pages 156-174.
    4. Buede, Dennis M. & Mahoney, Suzanne & Ezell, Barry & Lathrop, John, 2012. "Using plural modeling for predicting decisions made by adaptive adversaries," Reliability Engineering and System Safety, Elsevier, vol. 108(C), pages 77-89.
    5. Philip Hans Franses, 2004. "Do We Think We Make Better Forecasts Than in the Past? A Survey of Academics," Interfaces, INFORMS, vol. 34(6), pages 466-468, December.
    6. Moniz, António & Paulos, Margarida Ramires, 2008. "Futures of automobile industry and challenges on sustainable development and mobility," MPRA Paper 9022, University Library of Munich, Germany, revised May 2008.
    7. O'Connor, Marcus & Remus, William & Griggs, Kenneth, 2001. "The asymmetry of judgemental confidence intervals in time series forecasting," International Journal of Forecasting, Elsevier, vol. 17(4), pages 623-633.
    8. António Brandão Moniz, 2008. "Assessing scenarios on the future of work," Enterprise and Work Innovation Studies, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology, vol. 4(4), pages 91-106, November.
    9. Armstrong, J. Scott, 1996. "Factors affecting new product forecasting accuracy in new firms : William B. Gartner, and Robert J. Thomas, 1993, Journal of Productive Innovation Management, 10, 35-52," International Journal of Forecasting, Elsevier, vol. 12(2), pages 321-322, June.
    10. Namwoon Kim & Dae Ryun Chang & Allan D. Shocker, 2000. "Modeling Intercategory and Generational Dynamics for A Growing Information Technology Industry," Management Science, INFORMS, vol. 46(4), pages 496-512, April.
    11. JS Armstrong & Fred Collopy, 2004. "Integration of Statistical Methods and Judgment for Time Series," General Economics and Teaching 0412024, University Library of Munich, Germany.
    12. Webby, Richard & O'Connor, Marcus & Edmundson, Bob, 2005. "Forecasting support systems for the incorporation of event information: An empirical investigation," International Journal of Forecasting, Elsevier, vol. 21(3), pages 411-423.
    13. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    14. Webby, Richard & O'Connor, Marcus, 1996. "Judgemental and statistical time series forecasting: a review of the literature," International Journal of Forecasting, Elsevier, vol. 12(1), pages 91-118, March.
    15. Reimers, Stian & Harvey, Nigel, 2011. "Sensitivity to autocorrelation in judgmental time series forecasting," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1196-1214, October.
    16. Dennis Buede, 2009. "Errors associated with simple versus realistic models," Computational and Mathematical Organization Theory, Springer, vol. 15(1), pages 11-18, March.
    17. Remus, William & O'Connor, Marcus & Griggs, Kenneth, 1998. "The impact of information of unknown correctness on the judgmental forecasting process," International Journal of Forecasting, Elsevier, vol. 14(3), pages 313-322, September.
    18. Williams, Dan W. & Miller, Don, 1999. "Level-adjusted exponential smoothing for modeling planned discontinuities1," International Journal of Forecasting, Elsevier, vol. 15(3), pages 273-289, July.
    19. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.
    20. Remus, William & O'Connor, Marcus & Griggs, Kenneth, 1995. "Does reliable information improve the accuracy of judgmental forecasts?," International Journal of Forecasting, Elsevier, vol. 11(2), pages 285-293, June.
    21. John D. Sterman & Rebecca Henderson & Eric D. Beinhocker & Lee I. Newman, 2007. "Getting Big Too Fast: Strategic Dynamics with Increasing Returns and Bounded Rationality," Management Science, INFORMS, vol. 53(4), pages 683-696, April.
    22. Adya, Monica & Collopy, Fred & Armstrong, J. Scott & Kennedy, Miles, 2001. "Automatic identification of time series features for rule-based forecasting," International Journal of Forecasting, Elsevier, vol. 17(2), pages 143-157.
    23. Stolzke, U.A. & Müller, R.A.E., 1997. "Neuere Verfahren der Preisprognose aus Sicht des Agrarhandels," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 33.
    24. F Caniato & M Kalchschmidt & S Ronchi, 2011. "Integrating quantitative and qualitative forecasting approaches: organizational learning in an action research case," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 413-424, March.
    25. Konstantinos Petridis & Nikolaos E. Petridis & Fouad Ben Abdelaziz & Hatem Masri, 2023. "Ranking econometric techniques using geometrical Benefit of Doubt," Annals of Operations Research, Springer, vol. 330(1), pages 411-430, November.
    26. Emrouznejad, Ali & Rostami-Tabar, Bahman & Petridis, Konstantinos, 2016. "A novel ranking procedure for forecasting approaches using Data Envelopment Analysis," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 235-243.

  56. Armstrong, J. Scott & Collopy, Fred, 1992. "Error measures for generalizing about forecasting methods: Empirical comparisons," International Journal of Forecasting, Elsevier, vol. 8(1), pages 69-80, June.

    Cited by:

    1. von der Gracht, Heiko A. & Hommel, Ulrich & Prokesch, Tobias & Wohlenberg, Holger, 2016. "Testing weighting approaches for forecasting in a Group Wisdom Support System environment," Journal of Business Research, Elsevier, vol. 69(10), pages 4081-4094.
    2. Armstrong, J. Scott, 2007. "Significance Tests Harm Progress in Forecasting," MPRA Paper 81664, University Library of Munich, Germany.
    3. Protić, Milan & Shamshirband, Shahaboddin & Petković, Dalibor & Abbasi, Almas & Mat Kiah, Miss Laiha & Unar, Jawed Akhtar & Živković, Ljiljana & Raos, Miomir, 2015. "Forecasting of consumers heat load in district heating systems using the support vector machine with a discrete wavelet transform algorithm," Energy, Elsevier, vol. 87(C), pages 343-351.
    4. Drechsel, Katja & Scheufele, Rolf, 2010. "Should We Trust in Leading Indicators? Evidence from the Recent Recession," IWH Discussion Papers 10/2010, Halle Institute for Economic Research (IWH).
    5. Munir Husein & Il-Yop Chung, 2019. "Day-Ahead Solar Irradiance Forecasting for Microgrids Using a Long Short-Term Memory Recurrent Neural Network: A Deep Learning Approach," Energies, MDPI, vol. 12(10), pages 1-21, May.
    6. Jasleen Kaur & Khushdeep Dharni, 2022. "Application and performance of data mining techniques in stock market: A review," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(4), pages 219-241, October.
    7. Timothy Webb, 2022. "Forecasting at capacity: the bias of unconstrained forecasts in model evaluation," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(6), pages 645-656, December.
    8. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    9. Beer, Simone & Braun, Alexander & Marugg, Andrin, 2019. "Pricing industry loss warranties in a Lévy–Frailty framework," Insurance: Mathematics and Economics, Elsevier, vol. 89(C), pages 171-181.
    10. Yoon, Sung Wook & Jeong, Suk Jae, 2015. "An alternative methodology for planning baggage carousel capacity expansion: A case study of Incheon International Airport," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 63-74.
    11. Vokurka, Robert J. & Flores, Benito E. & Pearce, Stephen L., 1996. "Automatic feature identification and graphical support in rule-based forecasting: a comparison," International Journal of Forecasting, Elsevier, vol. 12(4), pages 495-512, December.
    12. Edward J. Lusk, 2019. "A Benchmarked Evaluation of a Selected CapitalCube Interval-Scaled Market Performance Variable," Accounting and Finance Research, Sciedu Press, vol. 8(2), pages 1-1, May.
    13. Shah, Chandra, 1997. "Model selection in univariate time series forecasting using discriminant analysis," International Journal of Forecasting, Elsevier, vol. 13(4), pages 489-500, December.
    14. Miller, Don M. & Williams, Dan, 2004. "Damping seasonal factors: Shrinkage estimators for the X-12-ARIMA program," International Journal of Forecasting, Elsevier, vol. 20(4), pages 529-549.
    15. Gogolev, Stepan & Ozhegov, Evgeniy, 2023. "Asymmetric loss function in product-level sales forecasting: An empirical comparison," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 70, pages 109-121.
    16. Edward J. Lusk, 2019. "Time Series Forecasting in Stock Trading Markets: The Turning Point Curiosity," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 8(4), pages 01-16, July.
    17. David E. Bloom & David Canning & Günther Fink & Jocelyn E. Finlay, 2007. "Does Age Structure Forecast Economic Growth?," NBER Working Papers 13221, National Bureau of Economic Research, Inc.
    18. JS Armstrong & Fred Collopy, 2004. "Causal Forces: Structuring Knowledge for Time-series Extrapolation," General Economics and Teaching 0412003, University Library of Munich, Germany.
    19. Fiordaliso, Antonio, 1998. "A nonlinear forecasts combination method based on Takagi-Sugeno fuzzy systems," International Journal of Forecasting, Elsevier, vol. 14(3), pages 367-379, September.
    20. Serrano-Cinca, Carlos & Gutiérrez-Nieto, Begoña & Bernate-Valbuena, Martha, 2019. "The use of accounting anomalies indicators to predict business failure," European Management Journal, Elsevier, vol. 37(3), pages 353-375.
    21. Dahl, Christian M. & Effraimidis, Georgios & Pedersen, Mikkel H., 2019. "Nonparametric wind power forecasting under fixed and random censoring," Energy Economics, Elsevier, vol. 84(C).
    22. Kim, Sungil & Kim, Heeyoung, 2016. "A new metric of absolute percentage error for intermittent demand forecasts," International Journal of Forecasting, Elsevier, vol. 32(3), pages 669-679.
    23. Madden, Gary G & Coble-Neal, Grant, 2004. "Internet traffic dynamics," MPRA Paper 10827, University Library of Munich, Germany.
    24. Katja Heinisch, 2025. "Step by Step—A Quarterly Evaluation of EU Commission's GDP Forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(3), pages 1026-1041, April.
    25. Prashant K. Srivastava & Prem C. Pandey & George P. Petropoulos & Nektarios N. Kourgialas & Varsha Pandey & Ujjwal Singh, 2019. "GIS and Remote Sensing Aided Information for Soil Moisture Estimation: A Comparative Study of Interpolation Techniques," Resources, MDPI, vol. 8(2), pages 1-17, April.
    26. Palanisamy Manigandan & MD Shabbir Alam & Majed Alharthi & Uzma Khan & Kuppusamy Alagirisamy & Duraisamy Pachiyappan & Abdul Rehman, 2021. "Forecasting Natural Gas Production and Consumption in United States-Evidence from SARIMA and SARIMAX Models," Energies, MDPI, vol. 14(19), pages 1-17, September.
    27. George Papadopoulos & Savas Papadopoulos & Thomas Sager, 2016. "Credit risk stress testing for EU15 banks: a model combination approach," Working Papers 203, Bank of Greece.
    28. Lyon, Aidan & Wintle, Bonnie C. & Burgman, Mark, 2015. "Collective wisdom: Methods of confidence interval aggregation," Journal of Business Research, Elsevier, vol. 68(8), pages 1759-1767.
    29. Stefan Rayer, 2007. "Population forecast accuracy: does the choice of summary measure of error matter?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(2), pages 163-184, April.
    30. Emilian Dobrescu, 2014. "Attempting to Quantify the Accuracy of Complex Macroeconomic Forecasts," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-21, December.
    31. Thury, Gerhard & Witt, Stephen F., 1998. "Forecasting industrial production using structural time series models," Omega, Elsevier, vol. 26(6), pages 751-767, December.
    32. Goodwin, Paul & Lawton, Richard, 1999. "On the asymmetry of the symmetric MAPE," International Journal of Forecasting, Elsevier, vol. 15(4), pages 405-408, October.
    33. Louie Ren & Yong Glasure, 2009. "Applicability of the Revised Mean Absolute Percentage Errors (MAPE) Approach to Some Popular Normal and Non-normal Independent Time Series," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 15(4), pages 409-420, November.
    34. Malmberg, Bo & Lindh, Thomas, 2004. "Demographically based global income forecasts up to the year 2050," Arbetsrapport 2004:7, Institute for Futures Studies.
    35. Héctor Mauricio Nunez Amortegui, 2005. "Una evaluación de los pronósticos de inflación en Colombia bajo el esquema de inflación objetivo," Revista de Economía del Rosario, Universidad del Rosario, December.
    36. Fildes, Robert & Goodwin, Paul & Lawrence, Michael & Nikolopoulos, Konstantinos, 2009. "Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning," International Journal of Forecasting, Elsevier, vol. 25(1), pages 3-23.
    37. Zheng, Peijun & Zhou, Heng & Liu, Jiang & Nakanishi, Yosuke, 2023. "Interpretable building energy consumption forecasting using spectral clustering algorithm and temporal fusion transformers architecture," Applied Energy, Elsevier, vol. 349(C).
    38. Michal Myck & Mateusz Najsztub, 2015. "Data and Model Cross-validation to Improve Accuracy of Microsimulation Results: Estimates for the Polish Household Budget Survey," International Journal of Microsimulation, International Microsimulation Association, vol. 8(1), pages 33-66.
    39. Aliyeva, Xeniya & Memon, Shazim Ali & Nazir, Kashif & Kim, Jong, 2024. "Energy consumption forecasting in PCM-integration buildings considering building and environmental parameters for future climate scenarios," Energy, Elsevier, vol. 310(C).
    40. Bharat Barot, 2005. "How Accurate Are The Swedish Forecasters On Gdp-Growth,Cpi- Inflation And Unemployment? (1993-2001)," Macroeconomics 0510017, University Library of Munich, Germany.
    41. Elisa Jorge-González & Enrique González-Dávila & Raquel Martín-Rivero & Domingo Lorenzo-Díaz, 2020. "Univariate and multivariate forecasting of tourism demand using state-space models," Tourism Economics, , vol. 26(4), pages 598-621, June.
    42. Nicolas Carbonare & Hannes Fugmann & Nasir Asadov & Thibault Pflug & Lena Schnabel & Constanze Bongs, 2020. "Simulation and Measurement of Energetic Performance in Decentralized Regenerative Ventilation Systems," Energies, MDPI, vol. 13(22), pages 1-25, November.
    43. Lee, Juyong & Cho, Youngsang, 2022. "National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?," Energy, Elsevier, vol. 239(PD).
    44. Huang, Tao & Fildes, Robert & Soopramanien, Didier, 2014. "The value of competitive information in forecasting FMCG retail product sales and the variable selection problem," European Journal of Operational Research, Elsevier, vol. 237(2), pages 738-748.
    45. Nur Rahman & Muhammad Lee & Suhartono & Mohd Latif, 2015. "Artificial neural networks and fuzzy time series forecasting: an application to air quality," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2633-2647, November.
    46. Theodosiou, Marina, 2011. "Forecasting monthly and quarterly time series using STL decomposition," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1178-1195, October.
    47. Goodwin, Paul, 2000. "Correct or combine? Mechanically integrating judgmental forecasts with statistical methods," International Journal of Forecasting, Elsevier, vol. 16(2), pages 261-275.
    48. Harvey, Nigel & Harries, Clare, 2004. "Effects of judges' forecasting on their later combination of forecasts for the same outcomes," International Journal of Forecasting, Elsevier, vol. 20(3), pages 391-409.
    49. Shi, Xiaohui & Li, Feng & Bigdeli, Ali Ziaee, 2016. "An examination of NPD models in the context of business models," Journal of Business Research, Elsevier, vol. 69(7), pages 2541-2550.
    50. Gutierrez, Rafael S. & Solis, Adriano O. & Mukhopadhyay, Somnath, 2008. "Lumpy demand forecasting using neural networks," International Journal of Production Economics, Elsevier, vol. 111(2), pages 409-420, February.
    51. João Tovar Jalles, 2020. "European commission’s fiscal forecasts in CEE countries: a thorough assessment," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 23(2), pages 161-183, July.
    52. Sun-Youn Shin & Han-Gyun Woo, 2022. "Energy Consumption Forecasting in Korea Using Machine Learning Algorithms," Energies, MDPI, vol. 15(13), pages 1-20, July.
    53. Madden, Gary G & Tan, Joachim, 2007. "Forecasting telecommunications data with linear models," MPRA Paper 14739, University Library of Munich, Germany.
    54. Dicembrino, Claudio & Trovato, Giovanni, 2013. "Structural Breaks, Price and Income Elasticity, and Forecast of the Monthly Italian Electricity Demand," MPRA Paper 47653, University Library of Munich, Germany.
    55. Edward J. Lusk & Michael Halperin & Atanas Tetikov & Niya Stefanova, 2010. "Forecasting Financial Market Annual Performance Measures: Further Evidence +," American Journal of Economics and Business Administration, Science Publications, vol. 2(3), pages 300-306, September.
    56. Davydenko, Andrey & Fildes, Robert, 2013. "Measuring forecasting accuracy: The case of judgmental adjustments to SKU-level demand forecasts," International Journal of Forecasting, Elsevier, vol. 29(3), pages 510-522.
    57. Haithem Awijen & Hachmi Ben Ameur & Zied Ftiti & Waël Louhichi, 2025. "Forecasting oil price in times of crisis: a new evidence from machine learning versus deep learning models," Annals of Operations Research, Springer, vol. 345(2), pages 979-1002, February.
    58. Christina Erlwein & Rogemar Mamon, 2009. "An online estimation scheme for a Hull–White model with HMM-driven parameters," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 87-107, March.
    59. Aguilar, Ruben & Valdivia, Daney, 2011. "Precios de exportación de gas natural para Bolivia: Modelación y pooling de pronósticos [Bolivian natural gas export prices: Modeling and forecast pooling]," MPRA Paper 35485, University Library of Munich, Germany.
    60. Youngsung Kwon & Alexis Kwasinski & Andres Kwasinski, 2019. "Solar Irradiance Forecast Using Naïve Bayes Classifier Based on Publicly Available Weather Forecasting Variables," Energies, MDPI, vol. 12(8), pages 1-13, April.
    61. Pollock, Andrew C. & Macaulay, Alex & Onkal-Atay, Dilek & Wilkie-Thomson, Mary E., 1999. "Evaluating predictive performance of judgemental extrapolations from simulated currency series," European Journal of Operational Research, Elsevier, vol. 114(2), pages 281-293, April.
    62. Hyndman, R.J. & Koehler, A.B. & Snyder, R.D. & Grose, S., 2000. "A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods," Monash Econometrics and Business Statistics Working Papers 9/00, Monash University, Department of Econometrics and Business Statistics.
    63. Dobruszkes, Frédéric & Vandermotten, Christian, 2022. "Do scale and the type of markets matter? Revisiting the determinants of passenger air services worldwide," Journal of Air Transport Management, Elsevier, vol. 99(C).
    64. Arunanondchai, Panit & Senia, Mark C. & Capps, Oral Jr, 2017. "Can U.S. EIA Retail Gasoline Price Forecasts Be Improved Upon?," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252717, Southern Agricultural Economics Association.
    65. Schmidt, Johannes & Leduc, Sylvain & Dotzauer, Erik & Kindermann, Georg & Schmid, Erwin, 2010. "Cost-effective CO2 emission reduction through heat, power and biofuel production from woody biomass: A spatially explicit comparison of conversion technologies," Applied Energy, Elsevier, vol. 87(7), pages 2128-2141, July.
    66. Wolters, Jannik & Huchzermeier, Arnd, 2021. "Joint In-Season and Out-of-Season Promotion Demand Forecasting in a Retail Environment," Journal of Retailing, Elsevier, vol. 97(4), pages 726-745.
    67. Namwoon Kim & Dae Ryun Chang & Allan D. Shocker, 2000. "Modeling Intercategory and Generational Dynamics for A Growing Information Technology Industry," Management Science, INFORMS, vol. 46(4), pages 496-512, April.
    68. Blaskowitz, Oliver & Herwartz, Helmut, 2011. "On economic evaluation of directional forecasts," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1058-1065, October.
    69. Kumar, V. & Leone, Robert P. & Gaskins, John N., 1995. "Aggregate and disaggregate sector forecasting using consumer confidence measures," International Journal of Forecasting, Elsevier, vol. 11(3), pages 361-377, September.
    70. Brummelhuis, Raymond & Luo, Zhongmin, 2019. "Bank Net Interest Margin Forecasting and Capital Adequacy Stress Testing by Machine Learning Techniques," MPRA Paper 94779, University Library of Munich, Germany.
    71. Reimer, Kerstin & Albers, Sönke, 2011. "Modeling Repeat Purchases in the Internet when RFM Captures Past Influence of Marketing," EconStor Preprints 50730, ZBW - Leibniz Information Centre for Economics.
    72. Athanasopoulos, George & Kourentzes, Nikolaos, 2023. "On the evaluation of hierarchical forecasts," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1502-1511.
    73. Gneiting, Tilmann, 2011. "Making and Evaluating Point Forecasts," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 746-762.
    74. Winston R. Moore, 2007. "Forecasting domestic liquidity during a crisis: what works best?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(6), pages 445-455.
    75. Schneider, Matthew J. & Gupta, Sachin, 2016. "Forecasting sales of new and existing products using consumer reviews: A random projections approach," International Journal of Forecasting, Elsevier, vol. 32(2), pages 243-256.
    76. Proietti, Tommaso, 2003. "Forecasting the US unemployment rate," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 451-476, March.
    77. Rocha Souza, Leonardo & Jorge Soares, Lacir, 2007. "Electricity rationing and public response," Energy Economics, Elsevier, vol. 29(2), pages 296-311, March.
    78. Schmidt, Johannes & Leduc, Sylvain & Dotzauer, Erik & Kindermann, Georg & Schmid, Erwin, 2009. "Using Monte Carlo Simulation to Account for Uncertainties in the Spatial Explicit Modeling of Biomass Fired Combined Heat and Power Potentials in Austria," Discussion Papers DP-43-2009, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    79. Deschamps, Elaine, 2004. "The impact of institutional change on forecast accuracy: A case study of budget forecasting in Washington State," International Journal of Forecasting, Elsevier, vol. 20(4), pages 647-657.
    80. Meade, Nigel, 2002. "A comparison of the accuracy of short term foreign exchange forecasting methods," International Journal of Forecasting, Elsevier, vol. 18(1), pages 67-83.
    81. Konrad Bogner & Katharina Liechti & Luzi Bernhard & Samuel Monhart & Massimiliano Zappa, 2018. "Skill of Hydrological Extended Range Forecasts for Water Resources Management in Switzerland," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(3), pages 969-984, February.
    82. Walter Labys, 2005. "Commodity Price Fluctuations: A Century of Analysis," Working Papers Working Paper 2005-01, Regional Research Institute, West Virginia University.
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    85. Thomson, Mary E. & Pollock, Andrew C. & Önkal, Dilek & Gönül, M. Sinan, 2019. "Combining forecasts: Performance and coherence," International Journal of Forecasting, Elsevier, vol. 35(2), pages 474-484.
    86. Bacci, Livio Agnew & Mello, Luiz Gustavo & Incerti, Taynara & Paulo de Paiva, Anderson & Balestrassi, Pedro Paulo, 2019. "Optimization of combined time series methods to forecast the demand for coffee in Brazil: A new approach using Normal Boundary Intersection coupled with mixture designs of experiments and rotated fact," International Journal of Production Economics, Elsevier, vol. 212(C), pages 186-211.
    87. Prestwich, S.D. & Tarim, S.A. & Rossi, R. & Hnich, B., 2014. "Forecasting intermittent demand by hyperbolic-exponential smoothing," International Journal of Forecasting, Elsevier, vol. 30(4), pages 928-933.
    88. Brandt, Patrick T. & Freeman, John R. & Schrodt, Philip A., 2014. "Evaluating forecasts of political conflict dynamics," International Journal of Forecasting, Elsevier, vol. 30(4), pages 944-962.
    89. Hill, Arthur V. & Zhang, Weiyong & Burch, Gerald F., 2015. "Forecasting the forecastability quotient for inventory management," International Journal of Forecasting, Elsevier, vol. 31(3), pages 651-663.
    90. Van Arem, Bart & Kirby, Howard R. & Van Der Vlist, Martie J. M. & Whittaker, Joe C., 1997. "Recent advances and applications in the field of short-term traffic forecasting," International Journal of Forecasting, Elsevier, vol. 13(1), pages 1-12, March.
    91. Dalla Valle, Alessandra & Furlan, Claudia, 2011. "Forecasting accuracy of wind power technology diffusion models across countries," International Journal of Forecasting, Elsevier, vol. 27(2), pages 592-601, April.
    92. Dalla Valle, Alessandra & Furlan, Claudia, 2011. "Forecasting accuracy of wind power technology diffusion models across countries," International Journal of Forecasting, Elsevier, vol. 27(2), pages 592-601.
    93. Everette S. Gardner, 1999. "Note: Rule-Based Forecasting vs. Damped-Trend Exponential Smoothing," Management Science, INFORMS, vol. 45(8), pages 1169-1176, August.
    94. Mohamed Khalil Benzekri & Hatice Şehime Özütler, 2021. "On the Predictability of Bitcoin Price Movements: A Short-term Price Prediction with ARIMA," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 8(2), pages 293-309, July.
    95. Chen, Shaw K. & Mangiameli, Paul & Roethlein, Christopher J., 2005. "Predicting the output of a tube-bending process: A case study," International Journal of Production Economics, Elsevier, vol. 95(3), pages 307-316, March.
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    222. Lowry, Michael, 2014. "Spatial interpolation of traffic counts based on origin–destination centrality," Journal of Transport Geography, Elsevier, vol. 36(C), pages 98-105.
    223. Constantinou Anthony Costa & Fenton Norman Elliott, 2012. "Solving the Problem of Inadequate Scoring Rules for Assessing Probabilistic Football Forecast Models," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(1), pages 1-14, March.
    224. Derek W. Bunn & Stefania Pantelidaki, 2005. "Development of a multifunctional sales response model with the diagnostic aid of artificial neural networks," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(7), pages 505-521.
    225. Philippe St-Aubin & Bruno Agard, 2022. "Precision and Reliability of Forecasts Performance Metrics," Forecasting, MDPI, vol. 4(4), pages 1-22, October.
    226. Ali, Aram & Bennett, John McL & Biggs, Andrew A.J. & Marchuk, Alla & Ghahramani, Afshin, 2021. "Assessing the hydraulic reduction performance of HYDRUS-1D for application of alkaline irrigation in variably-saturated soils: Validation of pH driven hydraulic reduction scaling factors," Agricultural Water Management, Elsevier, vol. 256(C).
    227. Makridakis, Spyros & Spiliotis, Evangelos & Assimakopoulos, Vassilios, 2020. "The M4 Competition: 100,000 time series and 61 forecasting methods," International Journal of Forecasting, Elsevier, vol. 36(1), pages 54-74.
    228. Makridakis, Spyros & Hibon, Michele, 2000. "The M3-Competition: results, conclusions and implications," International Journal of Forecasting, Elsevier, vol. 16(4), pages 451-476.
    229. Madden, Gary G & Tan, Joachim, 2008. "Forecasting international bandwidth capacity using linear and ANN methods," MPRA Paper 13005, University Library of Munich, Germany.
    230. Larissa Koupriouchina & Jean-Pierre van der Rest & Zvi Schwartz, 2023. "Judgmental Adjustments of Algorithmic Hotel Occupancy Forecasts: Does User Override Frequency Impact Accuracy at Different Time Horizons?," Tourism Economics, , vol. 29(8), pages 2143-2164, December.
    231. Madden, Gary G & Coble-Neal, Grant, 2005. "Forecasting international bandwidth capability," MPRA Paper 10822, University Library of Munich, Germany.
    232. Hussain, Anwar & Rahman, Muhammad & Memon, Junaid Alam, 2016. "Forecasting electricity consumption in Pakistan: the way forward," Energy Policy, Elsevier, vol. 90(C), pages 73-80.
    233. Fischer, Ilan & Harvey, Nigel, 1999. "Combining forecasts: What information do judges need to outperform the simple average?," International Journal of Forecasting, Elsevier, vol. 15(3), pages 227-246, July.
    234. Beer, Simone & Braun, Alexander, 2022. "Market-consistent valuation of natural catastrophe risk," Journal of Banking & Finance, Elsevier, vol. 134(C).
    235. Gorr, Wilpen L., 2009. "Forecast accuracy measures for exception reporting using receiver operating characteristic curves," International Journal of Forecasting, Elsevier, vol. 25(1), pages 48-61.
    236. Fang, Yue, 2003. "Forecasting combination and encompassing tests," International Journal of Forecasting, Elsevier, vol. 19(1), pages 87-94.
    237. Gavin Boyd & Dain Na & Zhong Li & Spencer Snowling & Qianqian Zhang & Pengxiao Zhou, 2019. "Influent Forecasting for Wastewater Treatment Plants in North America," Sustainability, MDPI, vol. 11(6), pages 1-14, March.
    238. Nicol Parker & Ashley Larsen & Priyanka Banerjee & Arturo A Keller, 2023. "Leveraging high spatiotemporal resolution data of pesticides applied to agricultural fields in California to identify toxicity reduction opportunities," PLOS Water, Public Library of Science, vol. 2(8), pages 1-23, August.
    239. Bunn, Derek W. & Taylor, James W., 2001. "Setting accuracy targets for short-term judgemental sales forecasting," International Journal of Forecasting, Elsevier, vol. 17(2), pages 159-169.
    240. Businger, Mark P. & Read, Robert R., 1999. "Identification of demand patterns for selective processing: a case study," Omega, Elsevier, vol. 27(2), pages 189-200, April.
    241. de Mendonça, Helder Ferreira & de Deus, Joseph David Barroso Vasconcelos, 2019. "Central bank forecasts and private expectations: An empirical assessment from three emerging economies," Economic Modelling, Elsevier, vol. 83(C), pages 234-244.
    242. Dominik Martin & Philipp Spitzer & Niklas Kuhl, 2020. "A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs," Papers 2004.10537, arXiv.org.
    243. Fildes, Robert, 2006. "The forecasting journals and their contribution to forecasting research: Citation analysis and expert opinion," International Journal of Forecasting, Elsevier, vol. 22(3), pages 415-432.
    244. Syed Ali Asad Rizvi & Stephen J. Roberts & Michael A. Osborne & Favour Nyikosa, 2017. "A Novel Approach to Forecasting Financial Volatility with Gaussian Process Envelopes," Papers 1705.00891, arXiv.org.
    245. Barrow, Devon K., 2016. "Forecasting intraday call arrivals using the seasonal moving average method," Journal of Business Research, Elsevier, vol. 69(12), pages 6088-6096.
    246. R Fildes & K Nikolopoulos & S F Crone & A A Syntetos, 2008. "Forecasting and operational research: a review," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1150-1172, September.
    247. JS Armstrong & Robert Fildes, 2004. "Correspondence On the Selection of Error Measures for Comparisons Among Forecasting Methods," General Economics and Teaching 0412002, University Library of Munich, Germany.
    248. Onkal, Dilek & Yates, J. Frank & Simga-Mugan, Can & Oztin, Sule, 2003. "Professional vs. amateur judgment accuracy: The case of foreign exchange rates," Organizational Behavior and Human Decision Processes, Elsevier, vol. 91(2), pages 169-185, July.

  57. Armstrong, J Scott, 1991. "Prediction of Consumer Behavior by Experts and Novices," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(2), pages 251-256, September.
    See citations under working paper version above.
  58. Dakin, Stephen & Armstrong, J. Scott, 1989. "Predicting job performance: A comparison of expert opinion and research findings," International Journal of Forecasting, Elsevier, vol. 5(2), pages 187-194.
    See citations under working paper version above.
  59. Armstrong, J. Scott, 1989. "Combining forecasts: The end of the beginning or the beginning of the end?," International Journal of Forecasting, Elsevier, vol. 5(4), pages 585-588.

    Cited by:

    1. Lyon, Aidan & Wintle, Bonnie C. & Burgman, Mark, 2015. "Collective wisdom: Methods of confidence interval aggregation," Journal of Business Research, Elsevier, vol. 68(8), pages 1759-1767.
    2. Theodosiou, Marina, 2011. "Forecasting monthly and quarterly time series using STL decomposition," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1178-1195, October.
    3. DE LA CROIX, David & LINDH, Thomas & MALMBERG, Bo, 2009. "Demographic change and economic growth in Sweden: 1750-2050," LIDAM Reprints CORE 2104, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Adebayo Kutu & Gbenga Akinola & Ntokozo Nzimande, 2016. "Monetary Policy and Output Growth Forecasting in a SVAR Perspective," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(7), pages 1-71, July.
    5. Dennis Ridley & Pierre Ngnepieba, 2014. "Antithetic time series analysis and the CompanyX data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(1), pages 83-94, January.
    6. Chiang, I-Hsuan Ethan & Liao, Yin & Zhou, Qing, 2021. "Modeling the cross-section of stock returns using sensible models in a model pool," Journal of Empirical Finance, Elsevier, vol. 60(C), pages 56-73.
    7. Danese, Pamela & Kalchschmidt, Matteo, 2011. "The impact of forecasting on companies' performance: Analysis in a multivariate setting," International Journal of Production Economics, Elsevier, vol. 133(1), pages 458-469, September.
    8. de la Croix, David & Lindh, Thomas & Malmberg, Bo, 2006. "Growth and Longevity from the Industrial Revolution to the Future of an Aging Society," Arbetsrapport 2006:9, Institute for Futures Studies.
    9. Wang, Ju-Jie & Wang, Jian-Zhou & Zhang, Zhe-George & Guo, Shu-Po, 2012. "Stock index forecasting based on a hybrid model," Omega, Elsevier, vol. 40(6), pages 758-766.
    10. Bohdan M. Pavlyshenko, 2019. "Machine-Learning Models for Sales Time Series Forecasting," Data, MDPI, vol. 4(1), pages 1-11, January.
    11. West, Carol Taylor, 2003. "Structural Regional Factors that Determine Absolute and Relative Accuracy of U.S. Regional Labor Market Forecasts," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 35(Supplemen), pages 1-15.
    12. Yongchen Zhao, 2015. "Robustness of Forecast Combination in Unstable Environment: A Monte Carlo Study of Advanced Algorithms," Working Papers 2015-04, Towson University, Department of Economics, revised Mar 2020.
    13. Georgios Papadopoulos & Dionysios Chionis & Nikolaos P. Rachaniotis, 2018. "Macro-financial linkages during tranquil and crisis periods: evidence from stressed economies," Risk Management, Palgrave Macmillan, vol. 20(2), pages 142-166, May.
    14. Robert Kremer & Sherrill Shaffer, 2007. "Improving the accuracy of forward exchange rate forecasts by correcting for prior bias," Applied Financial Economics, Taylor & Francis Journals, vol. 17(18), pages 1469-1478.
    15. Peter Kacmary & Andrea Rosova & Marian Sofranko & Peter Bindzar & Janka Saderova & Jan Kovac, 2021. "Creation of Annual Order Forecast for the Production of Beverage Cans—The Case Study," Sustainability, MDPI, vol. 13(15), pages 1-14, July.
    16. Doaa Akl Ahmed & Mamdouh M. Abdelsalam, 2015. "Modelling the Density of Egyptian Quarterly CPI Inflation," Working Papers 936, Economic Research Forum, revised Aug 2015.
    17. Timmermann, Allan, 2006. "Forecast Combinations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 4, pages 135-196, Elsevier.
    18. Szymon Lis & Marcin Chlebus, 2021. "Comparison of the accuracy in VaR forecasting for commodities using different methods of combining forecasts," Working Papers 2021-11, Faculty of Economic Sciences, University of Warsaw.
    19. Arvan, Meysam & Fahimnia, Behnam & Reisi, Mohsen & Siemsen, Enno, 2019. "Integrating human judgement into quantitative forecasting methods: A review," Omega, Elsevier, vol. 86(C), pages 237-252.
    20. Keunkwan Ryu & Kuo-yuan Liang, 1992. "Relationship of Forecast Encompassing to Composite Forecasts with Simulations and an Application," UCLA Economics Working Papers 668, UCLA Department of Economics.
    21. Cruz E. Borges & Yoseba K. Penya & Iván Fernández & Juan Prieto & Oscar Bretos, 2013. "Assessing Tolerance-Based Robust Short-Term Load Forecasting in Buildings," Energies, MDPI, vol. 6(4), pages 1-20, April.
    22. Zhang, Feng, 2007. "An application of vector GARCH model in semiconductor demand planning," European Journal of Operational Research, Elsevier, vol. 181(1), pages 288-297, August.
    23. Davide De Gaetano, 2018. "Forecast Combinations for Structural Breaks in Volatility: Evidence from BRICS Countries," JRFM, MDPI, vol. 11(4), pages 1-13, October.
    24. Karine Bouthevillain, 1993. "La prévision macro-économique : précision relative et consensus," Économie et Prévision, Programme National Persée, vol. 108(2), pages 97-126.
    25. Carlos Henrique Dias Cordeiro de Castro & Fernando Antonio Lucena Aiube, 2023. "Forecasting inflation time series using score‐driven dynamic models and combination methods: The case of Brazil," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 369-401, March.
    26. Davide De Gaetano, 2017. "Forecasting With Garch Models Under Structural Breaks: An Approach Based On Combinations Across Estimation Windows," Departmental Working Papers of Economics - University 'Roma Tre' 0219, Department of Economics - University Roma Tre.
    27. Hibon, Michele & Evgeniou, Theodoros, 2005. "To combine or not to combine: selecting among forecasts and their combinations," International Journal of Forecasting, Elsevier, vol. 21(1), pages 15-24.
    28. Gavin Boyd & Dain Na & Zhong Li & Spencer Snowling & Qianqian Zhang & Pengxiao Zhou, 2019. "Influent Forecasting for Wastewater Treatment Plants in North America," Sustainability, MDPI, vol. 11(6), pages 1-14, March.
    29. Sungwoo Park & Jihoon Moon & Seungwon Jung & Seungmin Rho & Sung Wook Baik & Eenjun Hwang, 2020. "A Two-Stage Industrial Load Forecasting Scheme for Day-Ahead Combined Cooling, Heating and Power Scheduling," Energies, MDPI, vol. 13(2), pages 1-23, January.
    30. Abdollahi, Hooman & Ebrahimi, Seyed Babak, 2020. "A new hybrid model for forecasting Brent crude oil price," Energy, Elsevier, vol. 200(C).

  60. Armstrong, J. Scott & Buchanan, William, 1988. "Public opinion quarterly : William Buchanan, election predictions: An empirical assessment, 50 (1986) 222-227," International Journal of Forecasting, Elsevier, vol. 4(1), pages 162-164.

    Cited by:

    1. J. S. Armstrong & F. Collopy, 2005. "How Serious are Methodological Issues in Surveys? A Reexamination of the Clarence Thomas Polls^T," General Economics and Teaching 0502020, University Library of Munich, Germany.

  61. Armstrong, J. Scott & Georgoff, David M., 1988. "Harvard Business Review : David M. Georgoff and Robert G. Murdick, manager's guide to forecasting, 64 (Jan-Feb.) (1986) 110-120," International Journal of Forecasting, Elsevier, vol. 4(1), pages 164-165.

    Cited by:

    1. Matías Mayor Fernández & Ana Jesús López Menéndez & Rigoberto Pérez Suárez, 2004. "Defining Scenarios through shift - share models. An Application to the regional employment," ERSA conference papers ersa04p454, European Regional Science Association.

  62. J. Scott Armstrong, 1986. "The value of formal planning for strategic decisions: Reply," Strategic Management Journal, Wiley Blackwell, vol. 7(2), pages 183-185, March.
    See citations under working paper version above.
  63. J. Scott Armstrong, 1986. "The Ombudsman: Research on Forecasting: A Quarter-Century Review, 1960--1984," Interfaces, INFORMS, vol. 16(1), pages 89-109, February.

    Cited by:

    1. Marian Sorin IONESCU & Olivia NEGOITA, 2020. "Data Analysis, Fundamental Factor In The Elaboration Of The Top Organizational Managerial Decision," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 14(1), pages 677-687, November.
    2. Zvi Schwartz & Timothy Webb & Jean-Pierre I van der Rest & Larissa Koupriouchina, 2021. "Enhancing the accuracy of revenue management system forecasts: The impact of machine and human learning on the effectiveness of hotel occupancy forecast combinations across multiple forecasting horizo," Tourism Economics, , vol. 27(2), pages 273-291, March.
    3. Perera, H. Niles & Hurley, Jason & Fahimnia, Behnam & Reisi, Mohsen, 2019. "The human factor in supply chain forecasting: A systematic review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 574-600.
    4. Arvan, Meysam & Fahimnia, Behnam & Reisi, Mohsen & Siemsen, Enno, 2019. "Integrating human judgement into quantitative forecasting methods: A review," Omega, Elsevier, vol. 86(C), pages 237-252.
    5. Marc Gruber & Claudia Venter, 2006. "„Die Kunst, die Zukunft zu erfinden“ — Theoretische Erkenntnisse und empirische Befunde zum Einsatz des Corporate Foresight in deutschen Großunternehmen," Schmalenbach Journal of Business Research, Springer, vol. 58(7), pages 958-984, November.
    6. Abolghasemi, Mahdi & Hurley, Jason & Eshragh, Ali & Fahimnia, Behnam, 2020. "Demand forecasting in the presence of systematic events: Cases in capturing sales promotions," International Journal of Production Economics, Elsevier, vol. 230(C).
    7. Swaminathan, Kritika & Venkitasubramony, Rakesh, 2024. "Demand forecasting for fashion products: A systematic review," International Journal of Forecasting, Elsevier, vol. 40(1), pages 247-267.
    8. Litsiou, Konstantia & Polychronakis, Yiannis & Karami, Azhdar & Nikolopoulos, Konstantinos, 2022. "Relative performance of judgmental methods for forecasting the success of megaprojects," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1185-1196.

  64. J. Scott Armstrong, 1984. "Forecasting by Extrapolation: Conclusions from 25 Years of Research," Interfaces, INFORMS, vol. 14(6), pages 52-66, December.
    See citations under working paper version above.
  65. J. Scott Armstrong, 1983. "The Ombudsman: Learner Responsibility in Management Education, or Ventures into Forbidden Research," Interfaces, INFORMS, vol. 13(2), pages 26-38, April.

    Cited by:

    1. J.S. Armstrong, 2005. "Are Student Ratings of Instruction Useful?," General Economics and Teaching 0502007, University Library of Munich, Germany.
    2. J. S. Armstrong, 2005. "The Devil s Advocate Responds to an MBA Student s Claim that Research Harms Learning," General Economics and Teaching 0502008, University Library of Munich, Germany.
    3. Richard F. Elmore & Michael O'Hare, 1991. "Formal models and government: Teaching to do," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 10(3), pages 519-541.
    4. JS Armstrong, 2004. "The Case for Minimum Teaching Standards," General Economics and Teaching 0412019, University Library of Munich, Germany.

  66. J. Scott Armstrong, 1982. "The value of formal planning for strategic decisions: Review of empirical research," Strategic Management Journal, Wiley Blackwell, vol. 3(3), pages 197-211, July.
    See citations under working paper version above.
  67. J. Scott Armstrong, 1980. "Unintelligible Management Research and Academic Prestige," Interfaces, INFORMS, vol. 10(2), pages 80-86, April.

    Cited by:

    1. Feld, Jan & Lines, Corinna & Ross, Libby, 2024. "Writing matters," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 378-397.
    2. Song, Ningyuan & Chen, Kejun & Zhao, Yuehua, 2023. "Understanding writing styles of scientific papers in the IS-LS domain: Evidence from abstracts over the past three decades," Journal of Informetrics, Elsevier, vol. 17(1).
    3. Dolnicar, Sara & Chapple, Alexander, 2015. "The readability of articles in tourism journals," Annals of Tourism Research, Elsevier, vol. 52(C), pages 161-166.
    4. Schwartz-Landsman, V., 2020. "A Chasm to Cross: From Research to Practice and Back," ERIM Inaugural Address Series Research in Management EIA 2020-081-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam..
    5. JS Armstrong, 2004. "Discovery and Communication of Important Marketing Findings: Evidence and Proposals," General Economics and Teaching 0412011, University Library of Munich, Germany.
    6. Amy Richter & Kelvin Tsun Wai Ng & Bahareh Fallah, 2019. "Bibliometric and text mining approaches to evaluate landfill design standards," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1027-1049, March.
    7. Chan, C.S. Richard & Park, Haemin Dennis & Huang, Julie Y. & Parhankangas, Annaleena, 2020. "Less is more? Evidence for a curvilinear relationship between readability and screening evaluations across pitch competition and crowdfunding contexts," Journal of Business Venturing Insights, Elsevier, vol. 14(C).
    8. Vastag, Gyula & Montabon, Frank, 2002. "Journal characteristics, rankings and social acculturation in operations management," Omega, Elsevier, vol. 30(2), pages 109-126, April.
    9. Geuens, Maggie, 2011. "Where does business research go from here? Food-for-thought on academic papers in business research," Journal of Business Research, Elsevier, vol. 64(10), pages 1104-1107, October.
    10. Dowling, Michael & Hammami, Helmi & Zreik, Ousayna, 2018. "Easy to read, easy to cite?," Economics Letters, Elsevier, vol. 173(C), pages 100-103.
    11. Ante, Lennart, 2022. "The relationship between readability and scientific impact: Evidence from emerging technology discourses," Journal of Informetrics, Elsevier, vol. 16(1).
    12. Brown, Zachariah C. & Anicich, Eric M. & Galinsky, Adam D., 2020. "Compensatory conspicuous communication: Low status increases jargon use," Organizational Behavior and Human Decision Processes, Elsevier, vol. 161(C), pages 274-290.
    13. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    14. Alejandro Avenburg & John Gerring & Jason Seawright, 2023. "How do social scientists reach causal inferences? A study of reception," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 257-275, February.
    15. Kumar, Dhananjay & Bhowmick, Plaban Kumar & Paik, Jiaul H, 2023. "Researcher influence prediction (ResIP) using academic genealogy network," Journal of Informetrics, Elsevier, vol. 17(2).
    16. Amon, Julian & Hornik, Kurt, 2022. "Is it all bafflegab? – Linguistic and meta characteristics of research articles in prestigious economics journals," Journal of Informetrics, Elsevier, vol. 16(2).
    17. Berninger, Marc & Kiesel, Florian & Schiereck, Dirk & Gaar, Eduard, 2021. "Citations and the readers’ information-extracting costs of finance articles," Journal of Banking & Finance, Elsevier, vol. 131(C).

  68. J. Scott Armstrong, 1979. "Advocacy and Objectivity in Science," Management Science, INFORMS, vol. 25(5), pages 423-428, May.
    See citations under working paper version above.
  69. Armstrong, J Scott, 1978. "Forecasting with Econometric Methods: Folklore versus Fact," The Journal of Business, University of Chicago Press, vol. 51(4), pages 549-564, October.
    See citations under working paper version above.
  70. Armstrong, J. Scott, 1977. "Social irresponsibility in management," Journal of Business Research, Elsevier, vol. 5(3), pages 185-213, September.
    See citations under working paper version above.
  71. J. Scott Armstrong & Michael C. Grohman, 1972. "A Comparative Study of Methods for Long-Range Market Forecasting," Management Science, INFORMS, vol. 19(2), pages 211-221, October.
    See citations under working paper version above.

Chapters

    Sorry, no citations of chapters recorded.

Books

  1. J. Scott Armstrong, 2010. "Persuasive Advertising," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-28580-4, August.

    Cited by:

    1. Marah Abu Judaa & Aseel Alshbeekat, 2024. "A Contrastive Study of Persuasive Appeals in Online Advertising: Investigating Persuasive Appeals in Jordanian and Egyptian Telecommunication Advertisements During Ramadan," English Language Teaching, Canadian Center of Science and Education, vol. 17(8), pages 1-21, August.

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