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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. 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.
    2. Bunker, Kenneth, 2020. "A two-stage model to forecast elections in new democracies," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1407-1419.
    3. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • 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.
    4. 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).
    5. 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).
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Wright, Malcolm J. & Stern, Philip, 2015. "Forecasting new product trial with analogous series," Journal of Business Research, Elsevier, vol. 68(8), pages 1732-1738.
    11. 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.
    12. Fildes, Robert & Petropoulos, Fotios, 2015. "Is there a Golden Rule?," Journal of Business Research, Elsevier, vol. 68(8), pages 1742-1745.
    13. 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.
    14. 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.
    15. Graefe, Andreas, 2015. "Improving forecasts using equally weighted predictors," Journal of Business Research, Elsevier, vol. 68(8), pages 1792-1799.
    16. 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.
    17. 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.
    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. Chumnumpan, Pattarin & Shi, Xiaohui, 2019. "Understanding new products’ market performance using Google Trends," Australasian marketing journal, Elsevier, vol. 27(2), pages 91-103.
    20. 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.
    21. Caldarulo, Mattia & Mossberger, Karen & Howell, Anthony, 2023. "Community-wide broadband adoption and student academic achievement," Telecommunications Policy, Elsevier, vol. 47(1).
    22. 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.
    23. 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.
    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. Gang Cheng & Sicong Wang & Yuhong Yang, 2015. "Forecast Combination under Heavy-Tailed Errors," Econometrics, MDPI, vol. 3(4), pages 1-28, November.
    26. Gardner, Everette S., 2015. "Conservative forecasting with the damped trend," Journal of Business Research, Elsevier, vol. 68(8), pages 1739-1741.
    27. 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.
    28. 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.
    29. Barreto Martins, Diogo & Strambi, Orlando, 2021. "Forecasting upon a star: Forecasting or wishful thinking?," Journal of Air Transport Management, Elsevier, vol. 91(C).
    30. 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.
    31. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    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. 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.
    40. 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.
    41. 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.
    42. 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. 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. 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.
    2. 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.
    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. Maurer, Rainer, 2015. "Auf dem Weg zur weltanschaulichen Bekenntnisschule: Das wirtschaftspolitische Leitbild der Hochschule Pforzheim," Beiträge der Hochschule Pforzheim 152, Pforzheim University.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Ucar, Erdem & Staer, Arsenio, 2020. "Local corruption and corporate social responsibility," Journal of Business Research, Elsevier, vol. 116(C), pages 266-282.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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).
    19. 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.
    20. 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.
    21. 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.
    22. 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).
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. Jill A. Küberling-Jost, 2021. "Paths of Corporate Irresponsibility: A Dynamic Process," Journal of Business Ethics, Springer, vol. 169(3), pages 579-601, March.

  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., 2012. "Effects of corporate social responsibility and irresponsibility policies," MPRA Paper 43007, University Library of Munich, Germany.
    2. 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.
    3. 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.

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

    Cited by:

    1. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    6. 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.
    7. 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.
    8. 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.

  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. 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. Graefe, Andreas, 2015. "Improving forecasts using equally weighted predictors," Journal of Business Research, Elsevier, vol. 68(8), pages 1792-1799.
    3. Armstrong, J. Scott & Graefe, Andreas, 2009. "Predicting Elections from Biographical Information about Candidates," MPRA Paper 16461, University Library of Munich, Germany.
    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 & 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.

  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. 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.
    2. 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.
    3. Rothschild, David, 2015. "Combining forecasts for elections: Accurate, relevant, and timely," International Journal of Forecasting, Elsevier, vol. 31(3), pages 952-964.
    4. 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.
    5. 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.

  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, January.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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. Schneider, Jesper W., 2013. "Caveats for using statistical significance tests in research assessments," Journal of Informetrics, Elsevier, vol. 7(1), pages 50-62.
    2. Ahlburg, Dennis & Lindh, Thomas, 2007. "Long-run income forecasting," International Journal of Forecasting, Elsevier, vol. 23(4), pages 533-538.
    3. 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.
    4. Yelland, Phillip M., 2010. "Bayesian forecasting of parts demand," International Journal of Forecasting, Elsevier, vol. 26(2), pages 374-396, April.
    5. 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.
    6. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • 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.
    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. 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.
    9. Malcolm Wright & J. Scott Armstrong, 2008. "The Ombudsman: Verification of Citations: Fawlty Towers of Knowledge?," Interfaces, INFORMS, vol. 38(2), pages 125-139, April.
    10. 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.
    11. 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.
    12. 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.
    13. Adusei Jumah & Robert M. Kunst, 2016. "Optimizing time-series forecasts for inflation and interest rates using simulation and model averaging," Applied Economics, Taylor & Francis Journals, vol. 48(45), pages 4366-4378, September.
    14. 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, July.
    15. 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.
    16. Jan-Erik Antipin & Farid Jimmy Boumediene & Pär Österholm, 2014. "Forecasting Inflation Using Constant Gain Least Squares," Australian Economic Papers, Wiley Blackwell, vol. 53(1-2), pages 2-15, June.
    17. 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.
    18. 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.
    19. 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.
    20. Maria Billstam & Kristina Frändén & Johan Samuelsson & Pär Österholm, 2017. "Quasi-Real-Time Data of the Economic Tendency Survey," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(1), pages 105-138, May.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. Cheng, Gang & Yang, Yuhong, 2015. "Forecast combination with outlier protection," International Journal of Forecasting, Elsevier, vol. 31(2), pages 223-237.
    27. Raoufina, Karine, 2016. "Forecasting Employment Growth in Sweden Using a Bayesian VAR Model," Working Papers 144, National Institute of Economic Research.
    28. 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.
    29. Helge Berger & Pär Österholm, 2011. "Does Money matter for U.S. Inflation? Evidence from Bayesian VARs," CESifo Economic Studies, CESifo Group, vol. 57(3), pages 531-550, September.
    30. 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.
    31. Pär Österholm, 2010. "Improving Unemployment Rate Forecasts Using Survey Data," Finnish Economic Papers, Finnish Economic Association, vol. 23(1), pages 16-26, Spring.
    32. Nicholson, Alan, 2015. "Travel time reliability benefits: Allowing for correlation," Research in Transportation Economics, Elsevier, vol. 49(C), pages 14-21.
    33. 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.
    34. 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.
    35. Kodila-Tedika, Oasis & Rindermann, Heiner & Christainsen, Gregory, 2014. "Cognitive capital, governance, and the wealth of nations," MPRA Paper 57563, University Library of Munich, Germany.
    36. 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.
    37. 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.
    38. Hirschauer Norbert & Grüner Sven & Mußhoff Oliver & 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.
    39. Wright, Malcolm & Armstrong, J. Scott, 2007. "Verification of Citations: Fawlty Towers of Knowledge?," MPRA Paper 4149, University Library of Munich, Germany.
    40. 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.

  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. 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 & Soon, Willie, 2008. "Benchmark forecasts for climate change," MPRA Paper 12163, University Library of Munich, Germany.
    3. 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.

  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. 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. Jeong-Yoo Kim & Insik Min & Christian Zimmermann, 2007. "The Economics of Citation," Working papers 2007-31, University of Connecticut, Department of Economics.
    3. Armstrong, J. Scott, 2007. "Significance tests harm progress in forecasting," International Journal of Forecasting, Elsevier, vol. 23(2), pages 321-327.
    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. 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 & Soon, Willie, 2008. "Benchmark forecasts for climate change," MPRA Paper 12163, University Library of Munich, Germany.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.

  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. 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.
    2. 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.

  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. 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.
    2. JS Armstrong, 2005. "Quality Control Versus Innovation in Research on Marketing," General Economics and Teaching 0502050, University Library of Munich, Germany.
    3. J.S. Armstrong, 2005. "Are Student Ratings of Instruction Useful?," General Economics and Teaching 0502007, University Library of Munich, Germany.

  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. 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. 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.
    3. 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.
    4. 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.
    5. 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.

  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. JS Armstrong, 2004. "The Case for Minimum Teaching Standards," General Economics and Teaching 0412019, 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. 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.

  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, 2005. "Research on Scientific Journals: Implications for Editors and Authors," General Economics and Teaching 0502059, 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.
    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. "Is Review By Peers As Fair As It Appears?," General Economics and Teaching 0502058, 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. 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.
    2. 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.
    3. JS Armstrong & David J. Reibstein, 2004. "Evidence on the Value of Strategic Planning in Marketing: How Much Planning Should a Marketing Planner Plan?," General Economics and Teaching 0412034, University Library of Munich, Germany.
    4. 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.
    5. JS Armstrong, 2005. "Strategic Planning And Forecasting Fundamentals," General Economics and Teaching 0502066, University Library of Munich, Germany.
    6. 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.
    7. JS Armstrong, 2004. "Strategic Planning Improves Manufacturing Performance," General Economics and Teaching 0412033, University Library of Munich, Germany.
    8. 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.

  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. JS Armstrong, 2004. "Research on Forecasting: A Quarter-Century Review, 1960-1984," General Economics and Teaching 0412006, University Library of Munich, Germany.
    2. Gardner, Everette Jr., 2006. "Exponential smoothing: The state of the art--Part II," International Journal of Forecasting, Elsevier, vol. 22(4), pages 637-666.
    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. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.
    5. 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.
    6. Jerzy Witold Wiśniewski, 2021. "Forecasting in Small Business Management," Risks, MDPI, vol. 9(4), pages 1-17, April.
    7. 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).
    8. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    9. Arvydas Jadevicius & Brian Sloan & Andrew Brown, 2013. "Property Market Modelling and Forecasting: A Case for Simplicity," ERES eres2013_10, European Real Estate Society (ERES).
    10. 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.
    11. Kweon, Young-Jun, 2010. "Data-driven reduction targets for a highway safety plan," Transport Policy, Elsevier, vol. 17(4), pages 230-239, August.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    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.

  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 & 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 & 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.

  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. Yelland, Phillip M., 2010. "Bayesian forecasting of parts demand," International Journal of Forecasting, Elsevier, vol. 26(2), pages 374-396, April.
    2. 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.
    3. 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.
    4. 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.
    5. Paunic, Alida, 2009. "I did it my way," MPRA Paper 17547, 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. "Research on Scientific Journals: Implications for Editors and Authors," General Economics and Teaching 0502059, University Library of Munich, Germany.
    2. Steven M. Shugan, 2007. "The Editor's Secrets," Marketing Science, INFORMS, vol. 26(5), pages 589-595, 09-10.
    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. JS Armstrong, 2005. "Barriers to Scientific Contributions: The Author’s Formula," General Economics and Teaching 0502057, University Library of Munich, Germany.
    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. JS Armstrong & Edward J. Lusk, 2005. "Return Postage in Mail Surveys: A Meta Analysis," General Economics and Teaching 0502041, University Library of Munich, Germany.
    7. JS Armstrong, 2004. "Strategies for Implementing Change: An Experiential Approach," General Economics and Teaching 0412026, University Library of Munich, Germany.
    8. 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.
    9. JS Armstrong, 2005. "The Importance of Objectivity and Falsification in Management Science," General Economics and Teaching 0502055, University Library of Munich, Germany.
    10. 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.
    11. Steven M. Shugan, 2002. "The Mission of Marketing Science," Marketing Science, INFORMS, vol. 21(1), pages 1-13.

  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. Snyder, Ralph D. & Ord, J. Keith & Koehler, Anne B. & McLaren, Keith R. & Beaumont, Adrian N., 2017. "Forecasting compositional time series: A state space approach," International Journal of Forecasting, Elsevier, vol. 33(2), pages 502-512.
    2. 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.
    3. Sarah Wolf & Steffen Fürst & Antoine Mandel & Wiebke Lass & Daniel Lincke & Federico Pablo-Marti & Carlo Jaeger, 2013. "A multi-agent model of several economic regions," PSE-Ecole d'économie de Paris (Postprint) halshs-00825217, HAL.
    4. Mai, Nhat Chi, 2022. "Strategic Management," OSF Preprints vauxf, Center for Open Science.
    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. Woodside, Arch G., 2012. "Incompetency training: Theory, practice, and remedies," Journal of Business Research, Elsevier, vol. 65(3), pages 279-293.
    7. 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.
    8. 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.
    9. 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.
    10. , 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.
    11. 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.
    12. 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.
    13. Neil Bendle & Mark Vandenbosch, 2014. "Competitor Orientation and the Evolution of Business Markets," Marketing Science, INFORMS, vol. 33(6), pages 781-795, November.
    14. 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.
    15. 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.
    16. 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.
    17. 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.

  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. 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.
    2. Raymond Hubbard & JS Armstrong, 2005. "Publication Bias Against Null Results," General Economics and Teaching 0502034, University Library of Munich, Germany.
    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. JS Armstrong, 2005. "Quality Control Versus Innovation in Research on Marketing," General Economics and Teaching 0502050, 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 & 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. 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, 2005. "The Value of Formal Planning for Strategic Decisions: A Reply," General Economics and Teaching 0502065, University Library of Munich, Germany.
    4. JS Armstrong, 2005. "The Importance of Objectivity and Falsification in Management Science," General Economics and Teaching 0502055, University Library of Munich, Germany.
    5. 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.
    6. JS Armstrong, 2005. "Is Review By Peers As Fair As It Appears?," General Economics and Teaching 0502058, 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. 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. JS Armstrong, 2005. "Quality Control Versus Innovation in Research on Marketing," General Economics and Teaching 0502050, University Library of Munich, Germany.

  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. JS Armstrong & Fred Collopy, 2004. "Causal Forces: Structuring Knowledge for Time-series Extrapolation," General Economics and Teaching 0412003, University Library of Munich, Germany.
    2. 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.
    3. Everette S. Gardner, 1999. "Note: Rule-Based Forecasting vs. Damped-Trend Exponential Smoothing," Management Science, INFORMS, vol. 45(8), pages 1169-1176, August.
    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. 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.
    6. Assimakopoulos, V. & Nikolopoulos, K., 2000. "The theta model: a decomposition approach to forecasting," International Journal of Forecasting, Elsevier, vol. 16(4), pages 521-530.
    7. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. J. S. Armstrong & R. Brodie, 2005. "Forecasting for Marketing," General Economics and Teaching 0502018, University Library of Munich, Germany.
    13. 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.
    14. 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.
    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. 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.
    17. 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.
    18. 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.
    19. 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.
    20. JS Armstrong, 2004. "Should We Redesign Forecasting Competitions?," General Economics and Teaching 0412001, University Library of Munich, Germany.
    21. Petropoulos, Fotios & Spiliotis, Evangelos & Panagiotelis, Anastasios, 2023. "Model combinations through revised base rates," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1477-1492.
    22. 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).
    23. Adya, Monica, 2000. "Corrections to rule-based forecasting: findings from a replication," International Journal of Forecasting, Elsevier, vol. 16(1), pages 125-127.
    24. 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.
    25. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. Evangelos Spiliotis & Fotios Petropoulos & Vassilios Assimakopoulos, 2023. "On the Disagreement of Forecasting Model Selection Criteria," Forecasting, MDPI, vol. 5(2), pages 1-12, June.
    34. 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.
    35. 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.
    36. Ord, Keith & Hibon, Michele & Makridakis, Spyros, 2000. "The M3-Competition1," International Journal of Forecasting, Elsevier, vol. 16(4), pages 433-436.
    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. Bunn, Derek W., 1996. "Non-traditional methods of forecasting," European Journal of Operational Research, Elsevier, vol. 92(3), pages 528-536, August.
    39. Lawrence, M. & O'Connor, M., 1996. "Judgement or models: The importance of task differences," Omega, Elsevier, vol. 24(3), pages 245-254, June.
    40. 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.
    41. 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.
    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. 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.
    47. Fildes, Robert & Petropoulos, Fotios, 2013. "An evaluation of simple forecasting model selection rules," MPRA Paper 51772, University Library of Munich, Germany.
    48. Jan G. De Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Monash Econometrics and Business Statistics Working Papers 12/05, Monash University, Department of Econometrics and Business Statistics.
    49. 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.
    50. 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.
    51. 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.
    52. 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.
    53. 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.
    54. 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.
    55. 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.
    56. 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.
    57. 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.
    58. Fildes, Robert & Madden, Gary & Tan, Joachim, 2007. "Optimal forecasting model selection and data characteristics," MPRA Paper 10819, University Library of Munich, Germany.
    59. 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.
    60. JS Armstrong & Fred Collopy, 2004. "Integration of Statistical Methods and Judgment for Time Series," General Economics and Teaching 0412024, University Library of Munich, Germany.
    61. 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.
    62. 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.
    63. Gardner, Everette S. & Anderson, Elizabeth A., 1997. "Focus forecasting reconsidered," International Journal of Forecasting, Elsevier, vol. 13(4), pages 501-508, December.
    64. 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.
    65. 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.
    66. 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.
    67. 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.

  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. 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.
    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.
    3. 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.

  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. J.S. Armstrong, 2005. "Structured Analogies for Forecasting," General Economics and Teaching 0502001, University Library of Munich, Germany.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Edieal J. Pinker, 2007. "An Analysis of Short-Term Responses to Threats of Terrorism," Management Science, INFORMS, vol. 53(6), pages 865-880, June.
    9. Green, Kesten C., 2008. "Assessing probabilistic forecasts about particular situations," MPRA Paper 8836, University Library of Munich, Germany.

  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. Green, Kesten C. & Armstrong, J. Scott, 2012. "Evidence on the effects of mandatory disclaimers in advertising," MPRA Paper 37766, University Library of Munich, Germany.
    3. Margit Osterloh & Bruno S. Frey, 2009. "Research Governance in Academia: Are there Alternatives to Academic Rankings?," CREMA Working Paper Series 2009-17, Center for Research in Economics, Management and the Arts (CREMA).
    4. Oswald, Andrew J., 2008. "Can We Test for Bias in Scientific Peer-Review?," IZA Discussion Papers 3665, Institute of Labor Economics (IZA).
    5. 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.
    6. Libman, A., 2011. "German Economics: Mechanisms of Transformation," Journal of the New Economic Association, New Economic Association, issue 9, pages 129-149.

  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, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.
    4. 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.

  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. 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).
    2. 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.
    3. 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.
    4. 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.
    5. JS Armstrong, 2005. "Strategic Planning And Forecasting Fundamentals," General Economics and Teaching 0502066, University Library of Munich, Germany.
    6. JS Armstrong, 2005. "The Manager’s Dilemma: Role Conflict in Marketing," General Economics and Teaching 0502042, University Library of Munich, Germany.
    7. 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.
    8. Armstrong, J. Scott & Green, Kesten C., 2012. "Effects of corporate social responsibility and irresponsibility policies," MPRA Paper 43007, University Library of Munich, Germany.
    9. 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.
    10. 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.
    11. Woodside, Arch G., 2012. "Incompetency training: Theory, practice, and remedies," Journal of Business Research, Elsevier, vol. 65(3), pages 279-293.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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).
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. Windsor, Duane, 2013. "Corporate social responsibility and irresponsibility: A positive theory approach," Journal of Business Research, Elsevier, vol. 66(10), pages 1937-1944.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. Joseph Heath, 2008. "Business Ethics and Moral Motivation: A Criminological Perspective," Journal of Business Ethics, Springer, vol. 83(4), pages 595-614, December.
    29. 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.
    30. JS Armstrong, 2004. "Forecasting Methods for Conflict Situations," General Economics and Teaching 0412025, University Library of Munich, Germany.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. JS Armstrong, 2004. "The Panalba Role Playing Case," General Economics and Teaching 0412029, University Library of Munich, Germany.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. Jill A. Küberling-Jost, 2021. "Paths of Corporate Irresponsibility: A Dynamic Process," Journal of Business Ethics, Springer, vol. 169(3), pages 579-601, March.

  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. JS Armstrong, 2005. "Strategic Planning And Forecasting Fundamentals," General Economics and Teaching 0502066, 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. 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.
    4. 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.
    5. 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.

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

    Cited by:

    1. Kesten C. Green & J. Scott Armstrong, 2007. "Global Warming: Forecasts by Scientists Versus Scientific Forecasts," Energy & Environment, , vol. 18(7), pages 997-1021, December.

  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. Khan, Jashim, 2011. "Validation in marketing experiments revisited," Journal of Business Research, Elsevier, vol. 64(7), pages 687-692, July.
    2. Min, Kyeong Sam, 2014. "Reviewers are not perfect but could they try harder?," Journal of Business Research, Elsevier, vol. 67(9), pages 1967-1970.
    3. 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.
    4. 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.
    5. JS Armstrong, 2004. "The Value of Surprising Findings for Research on Marketing," General Economics and Teaching 0412012, University Library of Munich, Germany.
    6. Rossiter, John R., 2003. "Qualifying the importance of findings," Journal of Business Research, Elsevier, vol. 56(1), pages 85-88, January.
    7. Walter Wymer, 2013. "The Influence of Marketing Scholarship’s Legacy on Nonprofit Marketing," IJFS, MDPI, vol. 1(3), pages 1-17, September.
    8. 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.
    9. Thomas Kenworthy & W. Edward McMullan, 2013. "Finding Practical Knowledge in Entrepreneurship," Entrepreneurship Theory and Practice, , vol. 37(5), pages 983-997, September.
    10. 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.
    11. 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.
    12. 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.
    13. Ravenswood, Katherine, 2011. "Eisenhardt's impact on theory in case study research," Journal of Business Research, Elsevier, vol. 64(7), pages 680-686, July.
    14. Lehmann, Donald R., 2003. "Finding important findings," Journal of Business Research, Elsevier, vol. 56(1), pages 89-90, January.
    15. 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.
    16. Saad, Gad, 2020. "The marketing of evolutionary psychology," Journal of Business Research, Elsevier, vol. 120(C), pages 485-491.
    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. 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.
    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.

  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. 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. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • 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. 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.
    4. 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.
    5. Wright, Malcolm J. & Stern, Philip, 2015. "Forecasting new product trial with analogous series," Journal of Business Research, Elsevier, vol. 68(8), pages 1732-1738.
    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. 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.
    8. 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).
    9. 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.
    10. Michael R. Czinkota & Ilkka A. Ronkainen, 2009. "Trends and Indications in International Business," Management International Review, Springer, vol. 49(2), pages 249-265, April.
    11. 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.
    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. 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.
    14. 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.
    15. 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).
    16. 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.
    17. 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).
    18. 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.
    19. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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).
    26. 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.
    27. 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.
    28. Green, Kesten C., 2008. "Assessing probabilistic forecasts about particular situations," MPRA Paper 8836, University Library of Munich, Germany.
    29. 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.
    30. Solvoll, Gisle & Mathisen, Terje Andreas & Welde, Morten, 2020. "Forecasting air traffic demand for major infrastructure changes," Research in Transportation Economics, Elsevier, vol. 82(C).
    31. 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.
    32. 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.

  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. "The Natural Learning Project," General Economics and Teaching 0412021, University Library of Munich, Germany.
    2. JS Armstrong, 2005. "The Manager’s Dilemma: Role Conflict in Marketing," General Economics and Teaching 0502042, University Library of Munich, Germany.
    3. JS Armstrong, 2004. "Teacher vs. Learner Responsibility in Management Education," General Economics and Teaching 0412020, University Library of Munich, Germany.
    4. JS Armstrong, 2004. "Designing and Using Experiential Exercises," General Economics and Teaching 0412022, 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. 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.
    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. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.
    5. JS Armstrong & Fred Collopy, 2004. "Integration of Statistical Methods and Judgment for Time Series," General Economics and Teaching 0412024, 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. 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.
    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. 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.
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.

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

    Cited by:

    1. JS Armstrong, 2004. "The Natural Learning Project," General Economics and Teaching 0412021, University Library of Munich, Germany.
    2. JS Armstrong, 2004. "Teacher vs. Learner Responsibility in Management Education," General Economics and Teaching 0412020, 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. 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.
    2. J. S. Armstrong & R. Brodie, 2005. "Forecasting for Marketing," General Economics and Teaching 0502018, University Library of Munich, Germany.
    3. JS Armstrong, 2004. "Should We Redesign Forecasting Competitions?," General Economics and Teaching 0412001, University Library of Munich, Germany.
    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. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.
    6. J. S. Armstrong, 2005. "Review of: Predicting Presidential Elections and Other Things," General Economics and Teaching 0502016, 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. 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.
    2. 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.
    3. 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.
    4. 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.
    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. 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.
    8. 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.
    9. 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.

  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. 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.
    2. Fildes, Robert & Kumar, V., 2002. "Telecommunications demand forecasting--a review," International Journal of Forecasting, Elsevier, vol. 18(4), pages 489-522.
    3. 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.
    4. Grazia Cecere & Nicoletta Corrocher & Marco Guerzoni, 2018. "Price or performance? A probabilistic choice analysis of the intention to buy electric vehicles in European countries," Post-Print hal-01883530, HAL.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    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. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. Turek - Rahoveanu, Adrian & Andrei, Jean, 2012. "Agrarian Economy and Rural Development - realities and perspectives for Romania," MPRA Paper 41661, University Library of Munich, Germany.
    31. 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.
    32. 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.

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

    Cited by:

    1. 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.
    2. 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).
    3. 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.
    4. Jerzy Witold Wiśniewski, 2021. "Forecasting in Small Business Management," Risks, MDPI, vol. 9(4), pages 1-17, April.
    5. 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. 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.
    2. Ronald B. Larson, 2019. "Promoting demand-based pricing," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(1), pages 42-51, February.
    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.
    4. 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.
    5. 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.
    6. Avagyan, Vardan & Esteban-Bravo, Mercedes & Vidal-Sanz, Jose M., 2014. "Licensing radical product innovations to speed up the diffusion," European Journal of Operational Research, Elsevier, vol. 239(2), pages 542-555.
    7. 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.
    8. 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.
    9. Sarah Wolf & Steffen Fürst & Antoine Mandel & Wiebke Lass & Daniel Lincke & Federico Pablo-Marti & Carlo Jaeger, 2013. "A multi-agent model of several economic regions," PSE-Ecole d'économie de Paris (Postprint) halshs-00825217, HAL.
    10. 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.
    11. 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).
    12. 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.
    13. David J. Reibstein & Dick R. Wittink, 2005. "Competitive Responsiveness," Marketing Science, INFORMS, vol. 24(1), pages 8-11.
    14. 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.
    15. 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).
    16. Driessen, P.H., 2005. "Green product innovation strategy," Other publications TiSEM f14c1bcc-f1bf-4637-b4a6-8, Tilburg University, School of Economics and Management.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. Woodside, Arch G., 2012. "Incompetency training: Theory, practice, and remedies," Journal of Business Research, Elsevier, vol. 65(3), pages 279-293.
    22. 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.
    23. 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..
    24. 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.
    25. 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.
    26. Armstrong, J. Scott, 1997. "Review of Co-opetition by Adam M. Brandenburger and Barry J. Nalebuff," MPRA Paper 81675, University Library of Munich, Germany.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. Kumar, V. & Anand, Ankit & Song, Hyunseok, 2017. "Future of Retailer Profitability: An Organizing Framework," Journal of Retailing, Elsevier, vol. 93(1), pages 96-119.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. Rusetski, Alexander, 2014. "Pricing by intuition: Managerial choices with limited information," Journal of Business Research, Elsevier, vol. 67(8), pages 1733-1743.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. Neil Bendle & Mark Vandenbosch, 2014. "Competitor Orientation and the Evolution of Business Markets," Marketing Science, INFORMS, vol. 33(6), pages 781-795, November.
    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. 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.
    47. 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.
    48. 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.
    49. 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.
    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. 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.
    52. 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.
    53. 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).
    54. 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.
    55. 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.

  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. Mohajan, Haradhan, 2015. "Present and Future of Nestlé Bangladesh Limited," MPRA Paper 82850, University Library of Munich, Germany, revised 05 Apr 2015.
    2. 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.
    3. 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.
    4. Haradhan Kumar Mohajan, 2018. "An Analysis on BCG Growth Sharing Matrix," Noble International Journal of Business and Management Research, Noble Academic Publsiher, vol. 2(1), pages 1-6, January.
    5. 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.
    6. 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.
    7. 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.
    8. Woodside, Arch G., 2012. "Incompetency training: Theory, practice, and remedies," Journal of Business Research, Elsevier, vol. 65(3), pages 279-293.
    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. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.

  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. 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.
    2. 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.
    3. 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.

  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. 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.
    2. 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.
    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. 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.
    5. 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.

  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. 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.
    2. Flostrand, Andrew, 2017. "Finding the future: Crowdsourcing versus the Delphi technique," Business Horizons, Elsevier, vol. 60(2), pages 229-236.
    3. 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.
    4. 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.
    5. Małgorzata Łatuszyńska & Fatimah Furaiji & Agata Wawrzyniak, 2012. "An Empirical Study of the Factors Influencing Consumer Behaviour in the Electric Appliances Market," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 6(3), September.
    6. 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.
    7. 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.
    8. 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.
    9. Armstrong, J. Scott, 2012. "Natural Learning in Higher Education," MPRA Paper 37648, University Library of Munich, Germany.
    10. JS Armstrong, 2005. "Quality Control Versus Innovation in Research on Marketing," General Economics and Teaching 0502050, University Library of Munich, Germany.

  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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. JS Armstrong, 2005. "Class of Mail Does Affect Response Rates to Mailed," General Economics and Teaching 0502039, University Library of Munich, Germany.
    7. 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.
    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. 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.

  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. JS Armstrong & David J. Reibstein, 2004. "Evidence on the Value of Strategic Planning in Marketing: How Much Planning Should a Marketing Planner Plan?," General Economics and Teaching 0412034, University Library of Munich, Germany.
    2. Heckmann, Lotta & Memmel, Christoph, 2024. "How good are banks' forecasts?," Discussion Papers 03/2024, Deutsche Bundesbank.

  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. 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.
    2. 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.
    3. 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.
    4. 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(1), pages 1-13, January.
    5. 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).
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Pavel TOMŠÍK & Martin PROKEŠ, 2011. "New strategic alliances of wine producers in the Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 57(12), pages 573-579.
    11. JS Armstrong & David J. Reibstein, 2004. "Evidence on the Value of Strategic Planning in Marketing: How Much Planning Should a Marketing Planner Plan?," General Economics and Teaching 0412034, University Library of Munich, Germany.
    12. Fawcett, Stanley E. & Calantone, Roger & Smith, Sheldon R., 1997. "Delivery capability and firm performance in international operations," International Journal of Production Economics, Elsevier, vol. 51(3), pages 191-204, September.
    13. 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.
    14. 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.
    15. JS Armstrong, 2005. "Strategic Planning And Forecasting Fundamentals," General Economics and Teaching 0502066, University Library of Munich, Germany.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. Phillips, Paul & Moutinho, Luiz, 2014. "Critical review of strategic planning research in hospitality and tourism," Annals of Tourism Research, Elsevier, vol. 48(C), pages 96-120.
    21. Labroukos, N. S. & Lioukas, S. & Chambers, D., 1995. "Planning and performance in state-owned enterprises: A multidimensional assessment," European Journal of Operational Research, Elsevier, vol. 87(3), pages 624-640, December.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. JS Armstrong, 2004. "Strategic Planning Improves Manufacturing Performance," General Economics and Teaching 0412033, University Library of Munich, Germany.
    27. 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.
    28. 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.
    29. 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.
    30. JS Armstrong, 2005. "The Value of Formal Planning for Strategic Decisions: A Reply," General Economics and Teaching 0502065, University Library of Munich, Germany.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. Obonyo Mark Ouche & David Odhiambo Oima & Moses Oginda, 2016. "Effect of Strategic Planning on Annual Income of National Sports Federations in Kenya," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(5), pages 41-64, May.
    39. 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.
    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. 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.
    44. 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.
    45. 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.
    46. Gerald J. Gray & Paul V. Ellefson, 1991. "Statewide Strategic Forest Resource Planning Programs," Evaluation Review, , vol. 15(4), pages 441-454, August.
    47. 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.
    48. Nancy J. Miller & Carol Engel-Enright & David A. Brown, 2021. "Direct and moderation effects on U.S. apparel manufacturers’ engagement in network ties," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 17(3), pages 67-113.

  71. Armstrong, J. Scott, 1978. "Forecasting with Econometric Methods: Folklore Versus Fact," MPRA Paper 81672, 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. 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.
    3. Afshin Amiraslany & Hari S. Luitel & Gerry J. Mahar, 2019. "Structural Breaks, Biased Estimations, and Forecast Errors in a GDP Series of Canada versus the United States," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 25(2), pages 235-244, May.
    4. JS Armstrong, 2005. "Strategic Planning And Forecasting Fundamentals," General Economics and Teaching 0502066, University Library of Munich, Germany.
    5. J. Scott Armstrong, 1984. "Forecasting by Extrapolation: Conclusions from 25 Years of Research," Interfaces, INFORMS, vol. 14(6), pages 52-66, December.
    6. 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.
    7. Colin Small & J. Eric Bickel, 2022. "Model Complexity and Accuracy: A COVID-19 Case Study," Decision Analysis, INFORMS, vol. 19(4), pages 354-383, December.
    8. 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.
    9. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.

  72. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.

    Cited by:

    1. John Cherry, 2006. "The Impact of Normative Influence and Locus of Control on Ethical Judgments and Intentions: a Cross-Cultural Comparison," Journal of Business Ethics, Springer, vol. 68(2), pages 113-132, October.
    2. S. Arunachalam & Sridhar N. Ramaswami & Pol Herrmann & Doug Walker, 2018. "Innovation pathway to profitability: the role of entrepreneurial orientation and marketing capabilities," Journal of the Academy of Marketing Science, Springer, vol. 46(4), pages 744-766, July.
    3. Onofrei, George & Filieri, Raffaele & Kennedy, Lorraine, 2022. "Social media interactions, purchase intention, and behavioural engagement: The mediating role of source and content factors," Journal of Business Research, Elsevier, vol. 142(C), pages 100-112.
    4. Block, Jörn H. & Fisch, Christian O. & Hahn, Alexander & Sandner, Philipp G., 2015. "Why do SMEs file trademarks? Insights from firms in innovative industries," Research Policy, Elsevier, vol. 44(10), pages 1915-1930.
    5. Zahoor, Nadia & Al-Tabbaa, Omar, 2021. "Post-entry internationalization speed of SMEs: The role of relational mechanisms and foreign market knowledge," International Business Review, Elsevier, vol. 30(1).
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    2262. Liu, Chia-Ling (Eunice) & Ghauri, Pervez N. & Sinkovics, Rudolf R., 2010. "Understanding the impact of relational capital and organizational learning on alliance outcomes," Journal of World Business, Elsevier, vol. 45(3), pages 237-249, July.
    2263. Mustafa Rehman Khan & Haseeb Ur Rehman Khan & Chen Kim Lim & Kian Lam Tan & Minhaz Farid Ahmed, 2021. "Sustainable Tourism Policy, Destination Management and Sustainable Tourism Development: A Moderated-Mediation Model," Sustainability, MDPI, vol. 13(21), pages 1-22, November.
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  73. Armstrong, J. Scott, 1975. "Monetary incentives in mail surveys," MPRA Paper 81695, University Library of Munich, Germany.

    Cited by:

    1. 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.
    2. Uri Gneezy & Pedro Rey-Biel, "undated". "On the Relative Efficiency of Performance Pay and Social Incentives," Working Papers 585, Barcelona School of Economics.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Arvydas Jadevicius & Brian Sloan & Andrew Brown, 2013. "Property Market Modelling and Forecasting: A Case for Simplicity," ERES eres2013_10, European Real Estate Society (ERES).
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.

  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.

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    1. 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.
    2. Armstrong, J. Scott, 1978. "Forecasting with Econometric Methods: Folklore Versus Fact," MPRA Paper 81672, University Library of Munich, Germany.
    3. Collan, Mikael, 2004. "Giga-Investments: Modelling the Valuation of Very Large Industrial Real Investments," MPRA Paper 4328, University Library of Munich, Germany.
    4. Davis, Donna F. & Mentzer, John T., 2007. "Organizational factors in sales forecasting management," International Journal of Forecasting, Elsevier, vol. 23(3), pages 475-495.
    5. JS Armstrong, 2004. "Designing and Using Experiential Exercises," General Economics and Teaching 0412022, University Library of Munich, Germany.
    6. 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.
    7. 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.
    8. 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.

  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. J. S. Armstrong & R. Brodie, 2005. "Forecasting for Marketing," General Economics and Teaching 0502018, University Library of Munich, Germany.
    2. 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.
    3. 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.
    4. Armstrong, J. Scott, 1975. "Monetary incentives in mail surveys," MPRA Paper 81695, University Library of Munich, Germany.
    5. Handan ÇAM, 2016. "The Role of Information Technology in Patient Satisfaction," Turkish Economic Review, KSP Journals, vol. 3(1), pages 91-102, March.
    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. 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.
    8. 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.

  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. 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.
    3. Armstrong, J. Scott, 2011. "Illusions in Regression Analysis," MPRA Paper 81663, University Library of Munich, Germany.
    4. Per Davidsson, 2016. "This Thing Called “Theory”," International Studies in Entrepreneurship, in: Researching Entrepreneurship, edition 2, chapter 3, pages 41-73, Springer.
    5. 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.
    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. 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).
    9. 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.

  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. 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. David Montgomery & JS Armstrong, 2005. "Brand Trial After a Credibility Change," General Economics and Teaching 0502047, University Library of Munich, Germany.
    4. 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.
    5. 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.

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

    Cited by:

    1. 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.
    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. 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.
    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. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.

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

    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Brosnan, Kylie & Grün, Bettina & Dolnicar, Sara, 2018. "Identifying superfluous survey items," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 39-45.
    5. 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.
    6. 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.
    7. 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.
    8. Carlos M. Del Rio & Lyle J. White, 2014. "Hylomorphic Attitudinal Spirituality," SAGE Open, , vol. 4(1), pages 21582440135, January.

  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. 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.
    2. 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.
    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. 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.
    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. 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.
    7. 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.
    8. 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.
    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. 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.

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. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    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. 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. 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. 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.
    2. 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.

  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. 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.
    2. Kupiec, Paul H., 2020. "Policy uncertainty and bank stress testing," Journal of Financial Stability, Elsevier, vol. 51(C).
    3. 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.
    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. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • 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.
    6. 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.
    7. Paul H. Kupiec, 2018. "On the accuracy of alternative approaches for calibrating bank stress test models," AEI Economics Working Papers 980152, American Enterprise Institute.
    8. 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.
    9. 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.
    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. 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.
    12. 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.
    13. 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).
    14. 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.
    15. 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.
    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. 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.
    18. Juan Tenorio & Wilder Perez, 2024. "Monthly GDP nowcasting with Machine Learning and Unstructured Data," Papers 2402.04165, arXiv.org.
    19. Fantazzini, Dean, 2023. "Assessing the Credit Risk of Crypto-Assets Using Daily Range Volatility Models," MPRA Paper 117141, University Library of Munich, Germany.
    20. 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.
    21. 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).
    22. 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.
    23. 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).
    24. 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.
    25. Gang Cheng & Sicong Wang & Yuhong Yang, 2015. "Forecast Combination under Heavy-Tailed Errors," Econometrics, MDPI, vol. 3(4), pages 1-28, November.
    26. 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.
    27. 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.
    28. 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.
    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. 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.
    31. 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.
    32. 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.
    33. 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.
    34. Katarzyna Maciejowska & Bartosz Uniejewski & Rafa{l} Weron, 2022. "Forecasting Electricity Prices," Papers 2204.11735, arXiv.org.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. 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.

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

  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. 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.
    2. 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.
    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. 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.
    5. 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.
    6. Bunker, Kenneth, 2020. "A two-stage model to forecast elections in new democracies," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1407-1419.
    7. Cerina, Roberto & Duch, Raymond, 2020. "Measuring public opinion via digital footprints," International Journal of Forecasting, Elsevier, vol. 36(3), pages 987-1002.
    8. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • 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.
    9. Brighton, Henry & Gigerenzer, Gerd, 2015. "The bias bias," Journal of Business Research, Elsevier, vol. 68(8), pages 1772-1784.
    10. 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.
    11. 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.
    12. 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.
    13. Graefe, Andreas, 2015. "Improving forecasts using equally weighted predictors," Journal of Business Research, Elsevier, vol. 68(8), pages 1792-1799.
    14. 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.
    15. Asil Oztekin, 0. "Information fusion-based meta-classification predictive modeling for ETF performance," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    16. Bohdan M. Pavlyshenko, 2019. "Machine-Learning Models for Sales Time Series Forecasting," Data, MDPI, vol. 4(1), pages 1-11, January.
    17. 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.
    18. Khan, Urmee & Lieli, Robert P., 2018. "Information flow between prediction markets, polls and media: Evidence from the 2008 presidential primaries," International Journal of Forecasting, Elsevier, vol. 34(4), pages 696-710.
    19. Gerda Claeskens & Jan Magnus & Andrey Vasnev & Wendun Wang, 2014. "The Forecast Combination Puzzle: A Simple Theoretical Explanation," Tinbergen Institute Discussion Papers 14-127/III, Tinbergen Institute.
    20. 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.
    21. 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.
    22. 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.
    23. Graefe, Andreas, 2019. "Accuracy of German federal election forecasts, 2013 & 2017," International Journal of Forecasting, Elsevier, vol. 35(3), pages 868-877.
    24. 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).
    25. Hollyman, Ross & Petropoulos, Fotios & Tipping, Michael E., 2021. "Understanding forecast reconciliation," European Journal of Operational Research, Elsevier, vol. 294(1), pages 149-160.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. José García-Montalvo & Omiros Papaspiliopoulos & Timothée Stumpf-Fétizon, 2018. "Bayesian Forecasting of Electoral Outcomes with new Parties' Competition," Working Papers 1065, Barcelona School of Economics.
    34. 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.
    35. 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.
    36. Rothschild, David, 2015. "Combining forecasts for elections: Accurate, relevant, and timely," International Journal of Forecasting, Elsevier, vol. 31(3), pages 952-964.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. 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.
    43. 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.
    44. Munzert, Simon, 2017. "Forecasting elections at the constituency level: A correction–combination procedure," International Journal of Forecasting, Elsevier, vol. 33(2), pages 467-481.
    45. 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.
    46. Asil Oztekin, 2018. "Information fusion-based meta-classification predictive modeling for ETF performance," Information Systems Frontiers, Springer, vol. 20(2), pages 223-238, April.

  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. 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.
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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).
    6. 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.
    7. 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.
    8. 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.

  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. 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. Graefe, Andreas, 2015. "Improving forecasts using equally weighted predictors," Journal of Business Research, Elsevier, vol. 68(8), pages 1792-1799.
    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. 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.
    5. Armstrong, J. Scott, 2011. "Illusions in Regression Analysis," MPRA Paper 81663, University Library of Munich, Germany.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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).

  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. Prommer, Lisa & Tiberius, Victor & Kraus, Sascha, 2020. "Exploring the future of startup leadership development," Journal of Business Venturing Insights, Elsevier, vol. 14(C).
    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. 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.
    4. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • 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.
    5. 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.
    6. 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.
    7. 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).
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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).
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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).
    34. 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.
    35. Laura Studen & Victor Tiberius, 2020. "Social Media, Quo Vadis? Prospective Development and Implications," Future Internet, MDPI, vol. 12(9), pages 1-22, August.
    36. Cary Deck & David Porter, 2013. "Prediction Markets in the Laboratory," Working Papers 13-05, Chapman University, Economic Science Institute.
    37. 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.
    38. 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.
    39. 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.
    40. 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.

  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, 2015. "Improving forecasts using equally weighted predictors," Journal of Business Research, Elsevier, vol. 68(8), pages 1792-1799.
    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 & 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.

  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. 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.
    2. Hyndman, Rob J., 2020. "A brief history of forecasting competitions," International Journal of Forecasting, Elsevier, vol. 36(1), pages 7-14.
    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. Fildes, Robert & Petropoulos, Fotios, 2015. "Is there a Golden Rule?," Journal of Business Research, Elsevier, vol. 68(8), pages 1742-1745.
    5. 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.
    6. 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).
    7. 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.
    8. 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).
    9. 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.
    10. 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).

  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, 2019. "Accuracy of German federal election forecasts, 2013 & 2017," International Journal of Forecasting, Elsevier, vol. 35(3), pages 868-877.
    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.

  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. 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. Höök, Mikael & Tang, Xu, 2013. "Depletion of fossil fuels and anthropogenic climate change—A review," Energy Policy, Elsevier, vol. 52(C), pages 797-809.
    3. 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.
    4. 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.
    5. Patrick Frank, 2015. "Negligence, Non-Science, and Consensus Climatology," Energy & Environment, , vol. 26(3), pages 391-415, April.
    6. 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.
    7. 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.

  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. 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.
    2. 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.
    3. 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.
    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. 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. 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.

  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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Daniele Fanelli, 2012. "Negative results are disappearing from most disciplines and countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 891-904, March.
    18. 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.
    19. 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.
    20. Thomas Kenworthy & W. Edward McMullan, 2013. "Finding Practical Knowledge in Entrepreneurship," Entrepreneurship Theory and Practice, , vol. 37(5), pages 983-997, September.
    21. 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.
    22. 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.
    23. 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.
    24. Nayeem, Tahmid & Casidy, Riza, 2015. "Australian consumers' decision-making styles for everyday products," Australasian marketing journal, Elsevier, vol. 23(1), pages 67-74.
    25. 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.
    26. 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.
    27. 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.
    28. Weismeier-Sammer, Daniela, 2011. "Entrepreneurial behavior in family firms: A replication study," Journal of Family Business Strategy, Elsevier, vol. 2(3), pages 128-138.
    29. 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.
    30. 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.
    31. 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).
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. Uncles, Mark D. & Kwok, Simon, 2013. "Designing research with in-built differentiated replication," Journal of Business Research, Elsevier, vol. 66(9), pages 1398-1405.
    37. 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.
    38. 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.
    39. Evanschitzky, Heiner & Armstrong, J. Scott, 2010. "Replications of forecasting research," International Journal of Forecasting, Elsevier, vol. 26(1), pages 4-8, January.
    40. Laurent, Gilles, 2013. "EMAC Distinguished Marketing Scholar 2012," International Journal of Research in Marketing, Elsevier, vol. 30(4), pages 323-334.
    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. 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.
    43. 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.

  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. 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. 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, July.
    3. Stekler, H.O., 2007. "Significance tests harm progress in forecasting: Comment," International Journal of Forecasting, Elsevier, vol. 23(2), pages 329-330.
    4. 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.
    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. 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.
    7. 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.

  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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.

  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. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • 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.
    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.
    3. 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.

  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. 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.
    2. 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.
    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. J.S. Armstrong, 2005. "Structured Analogies for Forecasting," General Economics and Teaching 0502001, University Library of Munich, Germany.
    5. 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.
    6. 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.
    7. 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.
    8. Tsionas, Mike G., 2022. "Random and Markov switching exponential smoothing models," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    9. 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.
    10. Fildes, Robert & Petropoulos, Fotios, 2015. "Is there a Golden Rule?," Journal of Business Research, Elsevier, vol. 68(8), pages 1742-1745.
    11. 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, July.
    12. 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.
    13. 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.
    14. Kesten C. Green & J. Scott Armstrong, 2007. "Global Warming: Forecasts by Scientists Versus Scientific Forecasts," Energy & Environment, , vol. 18(7), pages 997-1021, December.
    15. 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.
    16. 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.
    17. 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).
    18. 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.
    19. 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.
    20. 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.
    21. 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).
    22. Sbrana, Giacomo & Silvestrini, Andrea, 2014. "Random switching exponential smoothing and inventory forecasting," International Journal of Production Economics, Elsevier, vol. 156(C), pages 283-294.
    23. 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.
    24. Armstrong, J. Scott, 2007. "Significance tests harm progress in forecasting," International Journal of Forecasting, Elsevier, vol. 23(2), pages 321-327.
    25. 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).
    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. 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.
    29. Theodosiou, Marina, 2011. "Forecasting monthly and quarterly time series using STL decomposition," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1178-1195, October.
    30. 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.
    31. Bera, Soumitra Kumar, 2010. "Forecasting model of small scale industrial sector of West Bengal," MPRA Paper 28144, University Library of Munich, Germany.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. Armstrong, J. Scott & Fildes, Robert, 2006. "Making progress in forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 433-441.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. 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.
    43. 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.
    44. 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.
    45. Giacomo Sbrana, 2010. "Forecasting damped trend exponential smoothing: an algebraic viewpoint," Working Papers 10-08, Association Française de Cliométrie (AFC).

  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. 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.
    3. P. J. Lamberson & Scott E. Page, 2012. "Optimal Forecasting Groups," Management Science, INFORMS, vol. 58(4), pages 805-810, April.
    4. 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.
    5. 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.
    6. Bera, Soumitra Kumar, 2010. "Forecasting model of small scale industrial sector of West Bengal," MPRA Paper 28144, University Library of Munich, Germany.
    7. 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, 2019. "Accuracy of German federal election forecasts, 2013 & 2017," International Journal of Forecasting, Elsevier, vol. 35(3), pages 868-877.
    4. 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.

  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. JS Armstrong, 2005. "Incentives for Developing and Communicating Principles: A Reply," General Economics and Teaching 0502049, University Library of Munich, Germany.
    2. Rianne Legerstee & Philip Hans Franses, 2014. "Do Experts’ SKU Forecasts Improve after Feedback?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 69-79, January.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Armstrong, J. Scott & Fildes, Robert, 2006. "Making progress in forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 433-441.
    9. 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.
    10. 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.

  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. 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.
    2. 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.
    3. 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.
    4. Gardner, Everette Jr., 2006. "Exponential smoothing: The state of the art--Part II," International Journal of Forecasting, Elsevier, vol. 22(4), pages 637-666.
    5. 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.
    6. 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.
    7. 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.
    8. Fotios Petropoulos & Enno Siemsen, 2023. "Forecast Selection and Representativeness," Management Science, INFORMS, vol. 69(5), pages 2672-2690, May.
    9. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.
    10. 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.
    11. 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.
    12. Anton Antonov GERUNOV, 2016. "Automating Analytics: Forecasting Time Series in Economics and Business," Journal of Economics and Political Economy, KSP Journals, vol. 3(2), pages 340-349, June.
    13. 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.
    14. 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.
    15. Fildes, Robert & Petropoulos, Fotios, 2013. "An evaluation of simple forecasting model selection rules," MPRA Paper 51772, University Library of Munich, Germany.
    16. 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.
    17. 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.
    18. 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.
    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. Fildes, Robert & Madden, Gary & Tan, Joachim, 2007. "Optimal forecasting model selection and data characteristics," MPRA Paper 10819, University Library of Munich, Germany.
    21. 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.
    22. James W. Taylor, 2004. "Smooth transition exponential smoothing," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(6), pages 385-404.
    23. 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.

  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, 2005. "Decomposition by Causal Forces: A Procedure for Forecasting Complex Time Series," General Economics and Teaching 0502015, 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.

  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. 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.
    2. 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, July.
    3. 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.
    4. 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.
    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. 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.
    7. 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.
    8. 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).
    9. 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.
    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. Malcolm Wright & J. Scott Armstrong, 2008. "The Ombudsman: Verification of Citations: Fawlty Towers of Knowledge?," Interfaces, INFORMS, vol. 38(2), pages 125-139, April.
    2. Hugh J. Miser, 1998. "The Easy Chair: Journal Editing as I See It," Interfaces, INFORMS, vol. 28(5), pages 115-123, October.
    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. 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.

  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. Benavente, José Miguel & Crespi, Gustavo & Maffioli, Alessandro, 2007. "The Impact of National Research Funds: An Evaluation of the Chilean FONDECYT," IDB Publications (Working Papers) 3016, Inter-American Development Bank.
    2. 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.
    3. Daniel Chudnovsky & Andrés López & Martín Rossi & Diego Ubfal, 2006. "Evaluating a Program of Public Funding of Scientific Activity. A Case Study of FONCYT in Argentina," OVE Working Papers 1206, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    4. Albiol, Judit, 2014. "The Significance of Business Exit for Future Entrepreneurial Activity," Working Papers 2072/238221, Universitat Rovira i Virgili, Department of Economics.

  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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Richard E Klosterman, 2012. "Simple and Complex Models," Environment and Planning B, , vol. 39(1), pages 1-6, February.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. Nada R. Sanders & Karl B. Manrodt, 2003. "Forecasting Software in Practice: Use, Satisfaction, and Performance," Interfaces, INFORMS, vol. 33(5), pages 90-93, October.
    21. 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.
    22. 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.
    23. JS Armstrong & Fred Collopy, 2004. "Integration of Statistical Methods and Judgment for Time Series," General Economics and Teaching 0412024, University Library of Munich, Germany.
    24. 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.
    25. 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.
    26. 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.

  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. 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.
    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. 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.
    5. 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).
    6. 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.
    7. 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.

  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. Korbinian Dress & Stefan Lessmann & Hans-Jorg von Mettenheim, 2017. "Residual Value Forecasting Using Asymmetric Cost Functions," Papers 1707.02736, arXiv.org.
    2. 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.
    3. 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.

  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. 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.
    2. 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.
    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. 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.
    5. Dennis Buede, 2009. "Errors associated with simple versus realistic models," Computational and Mathematical Organization Theory, Springer, vol. 15(1), pages 11-18, March.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    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. António Brandão Moniz & Margarida Paulos, 2008. "Futures of automobile industry and challenges on sustainable development and mobility," Post-Print hal-00287886, HAL.
    12. 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.
    13. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.
    14. 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.
    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. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. JS Armstrong & Fred Collopy, 2004. "Integration of Statistical Methods and Judgment for Time Series," General Economics and Teaching 0412024, University Library of Munich, Germany.
    23. 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.
    24. 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.
    25. 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.

  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. 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.
    2. 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.
    3. JS Armstrong & Fred Collopy, 2004. "Causal Forces: Structuring Knowledge for Time-series Extrapolation," General Economics and Teaching 0412003, University Library of Munich, Germany.
    4. 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.
    5. George Papadopoulos & Savas Papadopoulos & Thomas Sager, 2016. "Credit risk stress testing for EU15 banks: a model combination approach," Working Papers 203, Bank of Greece.
    6. Malmberg, Bo & Lindh, Thomas, 2004. "Demographically based global income forecasts up to the year 2050," Arbetsrapport 2004:7, Institute for Futures Studies.
    7. 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.
    8. Goodwin, Paul, 2000. "Correct or combine? Mechanically integrating judgmental forecasts with statistical methods," International Journal of Forecasting, Elsevier, vol. 16(2), pages 261-275.
    9. 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.
    10. Madden, Gary G & Tan, Joachim, 2007. "Forecasting telecommunications data with linear models," MPRA Paper 14739, University Library of Munich, Germany.
    11. Bloom, David E. & Canning, David & Fink, Gunther & Finlay, Jocelyn E., 2007. "Does age structure forecast economic growth?," International Journal of Forecasting, Elsevier, vol. 23(4), pages 569-585.
    12. Everette S. Gardner, 1999. "Note: Rule-Based Forecasting vs. Damped-Trend Exponential Smoothing," Management Science, INFORMS, vol. 45(8), pages 1169-1176, August.
    13. Bharat Barot, 2004. "How accurate are the Swedish forecasters on GDB-Growth, CPI-inflation and unemployment? (1993 - 2001)," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 47(2), pages 249-278.
    14. 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.
    15. 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.
    16. Kumar, V. & Sunder, Sarang & Sharma, Amalesh, 2015. "Leveraging Distribution to Maximize Firm Performance in Emerging Markets," Journal of Retailing, Elsevier, vol. 91(4), pages 627-643.
    17. Lawrence, Michael & O'Connor, Marcus, 2005. "Judgmental forecasting in the presence of loss functions," International Journal of Forecasting, Elsevier, vol. 21(1), pages 3-14.
    18. Yelland, Phillip M., 2010. "Bayesian forecasting of parts demand," International Journal of Forecasting, Elsevier, vol. 26(2), pages 374-396, April.
    19. Mónica Borunda & Katya Rodríguez-Vázquez & Raul Garduno-Ramirez & Javier de la Cruz-Soto & Javier Antunez-Estrada & Oscar A. Jaramillo, 2020. "Long-Term Estimation of Wind Power by Probabilistic Forecast Using Genetic Programming," Energies, MDPI, vol. 13(8), pages 1-24, April.
    20. Hu, Xincheng & Banks, Jonathan & Wu, Linping & Liu, Wei Victor, 2020. "Numerical modeling of a coaxial borehole heat exchanger to exploit geothermal energy from abandoned petroleum wells in Hinton, Alberta," Renewable Energy, Elsevier, vol. 148(C), pages 1110-1123.
    21. Arash Riasi & Deshen Wang, 2016. "Comparing the Performance of Different Data Mining Techniques in Evaluating Loan Applications," International Business Research, Canadian Center of Science and Education, vol. 9(7), pages 164-187, July.
    22. Garcia-Ferrer, Antonio & Bujosa-Brun, Marcos, 2000. "Forecasting OECD industrial turning points using unobserved components models with business survey data," International Journal of Forecasting, Elsevier, vol. 16(2), pages 207-227.
    23. Ivo Blohm & Christoph Riedl & Johann Fuller & Orhan Koroglu & Jan Marco Leimeister & Helmut Krcmar, 2012. "The Effects of Prediction Market Design and Price Elasticity on Trading Performance of Users: An Experimental Analysis," Papers 1204.3457, arXiv.org.
    24. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Effects on the Riskless Yield Curve with Regime Switching Nelson†Siegel Models," Working Papers 639, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    25. Kourentzes, Nikolaos & Athanasopoulos, George, 2021. "Elucidate structure in intermittent demand series," European Journal of Operational Research, Elsevier, vol. 288(1), pages 141-152.
    26. Jaewon Kwak & Huiseong Noh & Soojun Kim & Vijay P. Singh & Seung Jin Hong & Duckgil Kim & Keonhaeng Lee & Narae Kang & Hung Soo Kim, 2014. "Future Climate Data from RCP 4.5 and Occurrence of Malaria in Korea," IJERPH, MDPI, vol. 11(10), pages 1-19, October.
    27. 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.
    28. Frédéric Dobruszkes & Christian Vandermotten, 2022. "Do scale and the type of markets matter? Revisiting the determinants of passenger air services worldwide," ULB Institutional Repository 2013/336304, ULB -- Universite Libre de Bruxelles.
    29. Paroissien, Emmanuel, 2020. "Forecasting bulk prices of Bordeaux wines using leading indicators," International Journal of Forecasting, Elsevier, vol. 36(2), pages 292-309.
    30. Goodwin, Paul, 2000. "Improving the voluntary integration of statistical forecasts and judgment," International Journal of Forecasting, Elsevier, vol. 16(1), pages 85-99.
    31. Philippe St-Aubin & Bruno Agard, 2022. "Precision and Reliability of Forecasts Performance Metrics," Forecasting, MDPI, vol. 4(4), pages 1-22, October.
    32. Madden, Gary G & Coble-Neal, Grant, 2005. "Forecasting international bandwidth capability," MPRA Paper 10822, University Library of Munich, Germany.
    33. Beer, Simone & Braun, Alexander, 2022. "Market-consistent valuation of natural catastrophe risk," Journal of Banking & Finance, Elsevier, vol. 134(C).
    34. 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.
    35. 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.
    36. 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).
    37. Dahl, Christian M. & Effraimidis, Georgios & Pedersen, Mikkel H., 2019. "Nonparametric wind power forecasting under fixed and random censoring," Energy Economics, Elsevier, vol. 84(C).
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. Lee, Juyong & Cho, Youngsang, 2022. "National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?," Energy, Elsevier, vol. 239(PD).
    43. Oliver Blaskowitz & Helmut Herwartz, 2009. "On economic evaluation of directional forecasts," SFB 649 Discussion Papers SFB649DP2009-052, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    44. 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.
    45. 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.
    46. 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.
    47. Rocha Souza, Leonardo & Jorge Soares, Lacir, 2007. "Electricity rationing and public response," Energy Economics, Elsevier, vol. 29(2), pages 296-311, March.
    48. 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.
    49. 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.
    50. Lawrence, Michael & O'Connor, Marcus & Edmundson, Bob, 2000. "A field study of sales forecasting accuracy and processes," European Journal of Operational Research, Elsevier, vol. 122(1), pages 151-160, April.
    51. Bontempi, Gianluca & Ben Taieb, Souhaib, 2011. "Conditionally dependent strategies for multiple-step-ahead prediction in local learning," International Journal of Forecasting, Elsevier, vol. 27(3), pages 689-699, July.
    52. J. S. Armstrong & R. Brodie, 2005. "Forecasting for Marketing," General Economics and Teaching 0502018, University Library of Munich, Germany.
    53. 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.
    54. Ali Habibnia & Esfandiar Maasoumi, 2021. "Forecasting in Big Data Environments: An Adaptable and Automated Shrinkage Estimation of Neural Networks (AAShNet)," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 363-381, December.
    55. Apostolos Ampountolas, 2019. "Forecasting hotel demand uncertainty using time series Bayesian VAR models," Tourism Economics, , vol. 25(5), pages 734-756, August.
    56. Swasti R. Khuntia & Jose L. Rueda & Mart A.M.M. Van der Meijden, 2018. "Long-Term Electricity Load Forecasting Considering Volatility Using Multiplicative Error Model," Energies, MDPI, vol. 11(12), pages 1-19, November.
    57. 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.
    58. Mihaela Simionescu, 2014. "Directional accuracy for inflation and unemployment rate predictions in Romania," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 7(2), pages 129-138, September.
    59. Wagatha, Matthias, 2007. "Integration, Kointegration und die Langzeitprognose von Kreditausfallzyklen [Integration, Cointegration and Long-Horizont Forecasting of Credit-Default-Cycles]," MPRA Paper 8572, University Library of Munich, Germany.
    60. 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.
    61. Dong, Ming & Shi, Jian & Shi, Qingxin, 2020. "Multi-year long-term load forecast for area distribution feeders based on selective sequence learning," Energy, Elsevier, vol. 206(C).
    62. Harvey, Nigel & Bolger, Fergus, 1996. "Graphs versus tables: Effects of data presentation format on judgemental forecasting," International Journal of Forecasting, Elsevier, vol. 12(1), pages 119-137, March.
    63. 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.
    64. Silva, Ana Teresa & Moro, Sérgio & Rita, Paulo & Cortez, Paulo, 2018. "Unveiling the features of successful eBay smartphone sellers," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 311-324.
    65. Wang, Zijun, 2009. "Stock returns and the short-run predictability of health expenditure: Some empirical evidence," International Journal of Forecasting, Elsevier, vol. 25(3), pages 587-601, July.
    66. Barbara Bedowska-Sojka, 2017. "Evaluating the Accuracy of Time-varying Beta. The Evidence from Poland," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 17, pages 161-176.
    67. De Felice, Matteo & Petitta, Marcello & Ruti, Paolo M., 2015. "Short-term predictability of photovoltaic production over Italy," Renewable Energy, Elsevier, vol. 80(C), pages 197-204.
    68. Guo-hua Ye & Mirxat Alim & Peng Guan & De-sheng Huang & Bao-sen Zhou & Wei Wu, 2021. "Improving the precision of modeling the incidence of hemorrhagic fever with renal syndrome in mainland China with an ensemble machine learning approach," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-13, March.
    69. Bhatti, Muhammad Tousif & Anwar, Arif A. & Ali Shah, Muhammad Azeem, 2019. "Revisiting telemetry in Pakistan’s Indus Basin Irrigation System," Papers published in Journals (Open Access), International Water Management Institute, pages 11(11):1-20.
    70. Hyndman, Rob J. & Koehler, Anne B., 2006. "Another look at measures of forecast accuracy," International Journal of Forecasting, Elsevier, vol. 22(4), pages 679-688.
    71. 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.
    72. Fang, Yue, 2003. "Forecasting combination and encompassing tests," International Journal of Forecasting, Elsevier, vol. 19(1), pages 87-94.
    73. Gary Madden & Joachim Tan, 2008. "Forecasting international bandwidth capacity using linear and ANN methods," Applied Economics, Taylor & Francis Journals, vol. 40(14), pages 1775-1787.
    74. 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.
    75. 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.
    76. 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.
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    200. 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.
    201. Shakhany, Mohammad Qaleh & Salimifard, Khodakaram, 2021. "Predicting the dynamical behavior of COVID-19 epidemic and the effect of control strategies," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    202. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Switching Nelson-Siegel Models," BAFFI CAREFIN Working Papers 19106, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    203. Steinbuks, Jevgenijs, 2019. "Assessing the accuracy of electricity production forecasts in developing countries," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1175-1185.
    204. Souza, Leonardo Rocha & Soares, Lacir Jorge, 2003. "Forecasting electricity load demand: analysis of the 2001 rationing period in Brazil," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 491, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    205. Witt, Stephen F. & Witt, Christine A., 1995. "Forecasting tourism demand: A review of empirical research," International Journal of Forecasting, Elsevier, vol. 11(3), pages 447-475, September.
    206. Rodríguez Arnulfo & Rodríguez Pedro N., 2007. "Recursive Thick Modeling and the Choice of Monetary Policy in Mexico," Working Papers 2007-04, Banco de México.
    207. 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.
    208. Fildes, Robert & Madden, Gary & Tan, Joachim, 2007. "Optimal forecasting model selection and data characteristics," MPRA Paper 10819, University Library of Munich, Germany.
    209. 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.
    210. Madden, Gary G & Coble-Neal, Grant, 2004. "Internet traffic dynamics," MPRA Paper 10827, University Library of Munich, Germany.
    211. 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).
    212. 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.
    213. 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.
    214. 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.
    215. 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.
    216. 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.
    217. Strunz, Franziska & Gödl, Maximilian, 2023. "An Evaluation of Professional Forecasts for the German Economy," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277707, Verein für Socialpolitik / German Economic Association.
    218. 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.
    219. Nikolopoulos, K. & Goodwin, P. & Patelis, A. & Assimakopoulos, V., 2007. "Forecasting with cue information: A comparison of multiple regression with alternative forecasting approaches," European Journal of Operational Research, Elsevier, vol. 180(1), pages 354-368, July.
    220. Doucoure, Boubacar & Agbossou, Kodjo & Cardenas, Alben, 2016. "Time series prediction using artificial wavelet neural network and multi-resolution analysis: Application to wind speed data," Renewable Energy, Elsevier, vol. 92(C), pages 202-211.
    221. 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.
    222. Paul Goodwin & Fotios Petropoulos & Rob J. Hyndman, 2017. "A note on upper bounds for forecast-value-added relative to naïve forecasts," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(9), pages 1082-1084, September.
    223. 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.
    224. George Athanasopoulos & Nikolaos Kourentzes, 2021. "On the Evaluation of Hierarchical Forecasts," Monash Econometrics and Business Statistics Working Papers 10/21, Monash University, Department of Econometrics and Business Statistics.
    225. Gardner, Everette S. & Anderson, Elizabeth A., 1997. "Focus forecasting reconsidered," International Journal of Forecasting, Elsevier, vol. 13(4), pages 501-508, December.
    226. Che-Yu Hung & Chien-Chih Wang & Shi-Woei Lin & Bernard C. Jiang, 2022. "An Empirical Comparison of the Sales Forecasting Performance for Plastic Tray Manufacturing Using Missing Data," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    227. 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.
    228. Gorr, Wilpen & Olligschlaeger, Andreas & Thompson, Yvonne, 2003. "Short-term forecasting of crime," International Journal of Forecasting, Elsevier, vol. 19(4), pages 579-594.
    229. Edward J. Lusk, 2017. "Analytic Procedures: A Holdback-vetting Forecasting Model," Applied Finance and Accounting, Redfame publishing, vol. 3(1), pages 65-74, February.
    230. Thomassey, Sebastien & Happiette, Michel & Castelain, Jean-Marie, 2005. "A global forecasting support system adapted to textile distribution," International Journal of Production Economics, Elsevier, vol. 96(1), pages 81-95, April.
    231. McKenzie, Jordi, 2011. "Mean absolute percentage error and bias in economic forecasting," Economics Letters, Elsevier, vol. 113(3), pages 259-262.
    232. 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.
    233. 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.
    234. 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.
    235. Lowry, Michael, 2014. "Spatial interpolation of traffic counts based on origin–destination centrality," Journal of Transport Geography, Elsevier, vol. 36(C), pages 98-105.
    236. 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.
    237. 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.

  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. 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.
    2. David, DE LA CROIX & Bo, MALMBERG, 2006. "Growth and Longevity from the Industrial Revolution to the Future of an Aging Society," Discussion Papers (ECON - Département des Sciences Economiques) 2006037, Université catholique de Louvain, Département des Sciences Economiques.
    3. 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.
    4. 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.
    5. 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.
    6. Abdollahi, Hooman & Ebrahimi, Seyed Babak, 2020. "A new hybrid model for forecasting Brent crude oil price," Energy, Elsevier, vol. 200(C).
    7. 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.
    8. 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.
    9. 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.
    10. Karine Bouthevillain, 1993. "La prévision macro-économique : précision relative et consensus," Économie et Prévision, Programme National Persée, vol. 108(2), pages 97-126.
    11. 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.
    12. Bohdan M. Pavlyshenko, 2019. "Machine-Learning Models for Sales Time Series Forecasting," Data, MDPI, vol. 4(1), pages 1-11, January.
    13. 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.
    14. 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.
    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. 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.
    17. Davide De Gaetano, 2018. "Forecast Combinations for Structural Breaks in Volatility: Evidence from BRICS Countries," JRFM, MDPI, vol. 11(4), pages 1-13, October.
    18. 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.
    19. 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.
    20. 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.
    21. Theodosiou, Marina, 2011. "Forecasting monthly and quarterly time series using STL decomposition," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1178-1195, October.
    22. 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).
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. Doaa Akl Ahmed & Mamdouh M. Abdelsalam, 2015. "Modelling the Density of Egyptian Quarterly CPI Inflation," Working Papers 936, Economic Research Forum, revised Aug 2015.
    29. 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.

  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. 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. 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.
    3. 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).
    4. 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.
    5. 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.
    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. 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.

  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. JS Armstrong, 2004. "The Case for Minimum Teaching Standards," General Economics and Teaching 0412019, University Library of Munich, Germany.
    2. 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.
    3. J.S. Armstrong, 2005. "Are Student Ratings of Instruction Useful?," General Economics and Teaching 0502007, University Library of Munich, Germany.
    4. 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.

  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. Vastag, Gyula & Montabon, Frank, 2002. "Journal characteristics, rankings and social acculturation in operations management," Omega, Elsevier, vol. 30(2), pages 109-126, April.
    2. Ante, Lennart, 2022. "The relationship between readability and scientific impact: Evidence from emerging technology discourses," Journal of Informetrics, Elsevier, vol. 16(1).
    3. 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.
    4. Feld, Jan & Lines, Corinna & Ross, Libby, 2024. "Writing matters," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 378-397.
    5. 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.
    6. 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.
    7. Dolnicar, Sara & Chapple, Alexander, 2015. "The readability of articles in tourism journals," Annals of Tourism Research, Elsevier, vol. 52(C), pages 161-166.
    8. 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).
    9. Dowling, Michael & Hammami, Helmi & Zreik, Ousayna, 2018. "Easy to read, easy to cite?," Economics Letters, Elsevier, vol. 173(C), pages 100-103.
    10. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    11. 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..
    12. 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.
    13. 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).
    14. 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).
    15. 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.
    16. Kumar, Dhananjay & Bhowmick, Plaban Kumar & Paik, Jiaul H, 2023. "Researcher influence prediction (ResIP) using academic genealogy network," Journal of Informetrics, Elsevier, vol. 17(2).
    17. 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).

  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.

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