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Kesten Charles Green

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

Wikipedia or ReplicationWiki mentions

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

    Mentioned in:

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

Working papers

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

    Cited by:

    1. von der Gracht, Heiko A. & Hommel, Ulrich & Prokesch, Tobias & Wohlenberg, Holger, 2016. "Testing weighting approaches for forecasting in a Group Wisdom Support System environment," Journal of Business Research, Elsevier, vol. 69(10), pages 4081-4094.
    2. Caldarulo, Mattia & Mossberger, Karen & Howell, Anthony, 2023. "Community-wide broadband adoption and student academic achievement," Telecommunications Policy, Elsevier, vol. 47(1).
    3. 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.
    4. Tessier, Thomas H. & Armstrong, J. Scott, 2015. "Decomposition of time-series by level and change," Journal of Business Research, Elsevier, vol. 68(8), pages 1755-1758.
    5. 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.
    6. 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.
    7. 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).
    8. Gang Cheng & Sicong Wang & Yuhong Yang, 2015. "Forecast Combination under Heavy-Tailed Errors," Econometrics, MDPI, vol. 3(4), pages 1-28, November.
    9. Gardner, Everette S., 2015. "Conservative forecasting with the damped trend," Journal of Business Research, Elsevier, vol. 68(8), pages 1739-1741.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Bunker, Kenneth, 2020. "A two-stage model to forecast elections in new democracies," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1407-1419.
    15. 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.
    16. Barreto Martins, Diogo & Strambi, Orlando, 2021. "Forecasting upon a star: Forecasting or wishful thinking?," Journal of Air Transport Management, Elsevier, vol. 91(C).
    17. 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.
    18. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    19. 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).
    20. 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.
    21. 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.
    22. 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.
    23. 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).
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. Chumnumpan, Pattarin & Shi, Xiaohui, 2019. "Understanding new products’ market performance using Google Trends," Australasian marketing journal, Elsevier, vol. 27(2), pages 91-103.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. Wright, Malcolm J. & Stern, Philip, 2015. "Forecasting new product trial with analogous series," Journal of Business Research, Elsevier, vol. 68(8), pages 1732-1738.
    35. 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.
    36. Fildes, Robert & Petropoulos, Fotios, 2015. "Is there a Golden Rule?," Journal of Business Research, Elsevier, vol. 68(8), pages 1742-1745.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. Graefe, Andreas, 2015. "Improving forecasts using equally weighted predictors," Journal of Business Research, Elsevier, vol. 68(8), pages 1792-1799.
    42. Alireza Rezazadeh, 2020. "A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine-Learning Approach," Forecasting, MDPI, vol. 2(3), pages 1-17, August.

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

    Cited by:

    1. Gerda Barauskaite & Dalia Streimikiene, 2021. "Corporate social responsibility and financial performance of companies: The puzzle of concepts, definitions and assessment methods," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(1), pages 278-287, January.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Maurer, Rainer, 2015. "Auf dem Weg zur weltanschaulichen Bekenntnisschule: Das wirtschaftspolitische Leitbild der Hochschule Pforzheim," Beiträge der Hochschule Pforzheim 152, Pforzheim University.
    17. 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).
    18. Ucar, Erdem & Staer, Arsenio, 2020. "Local corruption and corporate social responsibility," Journal of Business Research, Elsevier, vol. 116(C), pages 266-282.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    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. Jill A. Küberling-Jost, 2021. "Paths of Corporate Irresponsibility: A Dynamic Process," Journal of Business Ethics, Springer, vol. 169(3), pages 579-601, March.
    29. Choudhary, Piyush & Kumar Jain, Nikunj & Panda, Abinash, 2022. "Making small and medium enterprises circular economy compliant by reducing the single use plastic consumption," Journal of Business Research, Elsevier, vol. 149(C), pages 448-462.
    30. Ionel JIANU, 2015. "The Role of Food Companies in Consumer Protection Through the Sustainable Reporting," The Journal of Accounting and Management, Danubius University of Galati, issue 3, pages 75-84, December.
    31. 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.
    32. 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.
    33. 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.
    34. Dharwadkar, Ravi & Guo, Jun & Shi, Linna & Yang, Rong, 2021. "Corporate social irresponsibility and boards: The implications of legal expertise," Journal of Business Research, Elsevier, vol. 125(C), pages 143-154.

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

    Cited by:

    1. Armstrong, J. Scott & Green, Kesten C., 2013. "Effects of corporate social responsibility and irresponsibility policies," Journal of Business Research, Elsevier, vol. 66(10), pages 1922-1927.
    2. 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. Green, Kesten C. & Armstrong, J. Scott, 2009. "Role thinking: Standing in other people’s shoes to forecast decisions in conflicts," MPRA Paper 16422, University Library of Munich, Germany.

    Cited by:

    1. Bradfield, Ron & Cairns, George & Wright, George, 2015. "Teaching scenario analysis—An action learning pedagogy," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 44-52.
    2. de Villiers, Rouxelle & Woodside, Arch G. & Marshall, Roger, 2016. "Making tough decisions competently: Assessing the value of product portfolio planning methods, devil’s advocacy, group discussion, weighting priorities, and evidenced-based information," Journal of Business Research, Elsevier, vol. 69(8), pages 2849-2862.
    3. Wright, George & Rowe, Gene, 2011. "Group-based judgmental forecasting: An integration of extant knowledge and the development of priorities for a new research agenda," International Journal of Forecasting, Elsevier, vol. 27(1), pages 1-13, January.
    4. 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. Önkal, Dilek & Zeynep Sayım, K. & Lawrence, Michael, 2012. "Wisdom of group forecasts: Does role-playing play a role?," Omega, Elsevier, vol. 40(6), pages 693-702.
    7. 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.
    8. 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.

  5. 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.

  6. 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. 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.
    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. 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.
    4. 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.
    5. Rothschild, David, 2015. "Combining forecasts for elections: Accurate, relevant, and timely," International Journal of Forecasting, Elsevier, vol. 31(3), pages 952-964.

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

    Cited by:

    1. Graefe, Andreas & Armstrong, J. Scott, 2011. "Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task," International Journal of Forecasting, Elsevier, vol. 27(1), pages 183-195.
    2. Robert J. MacCoun, 2010. "Comment on "Rethinking America's Illegal Drug Policy"," NBER Chapters, in: Controlling Crime: Strategies and Tradeoffs, pages 281-289, National Bureau of Economic Research, Inc.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    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.

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

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

    Cited by:

    1. Hassani, Hossein & Silva, Emmanuel Sirimal & Gupta, Rangan & Das, Sonali, 2018. "Predicting global temperature anomaly: A definitive investigation using an ensemble of twelve competing forecasting models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 121-139.
    2. 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. 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. 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. 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. Green, Kesten C & Armstrong, J Scott & Soon, Willie, 2008. "Benchmark forecasts for climate change," MPRA Paper 12163, University Library of Munich, Germany.

  10. 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. 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.
    3. Paunic, Alida, 2009. "I did it my way," MPRA Paper 17547, University Library of Munich, Germany.
    4. Bobinaite Viktorija & Zuters Jānis, 2016. "Modelling Electricity Price Expectations in a Day-Ahead Market: A Case of Latvia," Economics and Business, Sciendo, vol. 29(1), pages 12-26, August.
    5. Mkumbwa, Solomon S., 2011. "Cereal food commodities in Eastern Africa: consumption - production gap trends and projections for 2020," MPRA Paper 42113, University Library of Munich, Germany.

  11. 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. Neil Bendle & Mark Vandenbosch, 2014. "Competitor Orientation and the Evolution of Business Markets," Marketing Science, INFORMS, vol. 33(6), pages 781-795, November.
    2. de Villiers, Rouxelle & Woodside, Arch G. & Marshall, Roger, 2016. "Making tough decisions competently: Assessing the value of product portfolio planning methods, devil’s advocacy, group discussion, weighting priorities, and evidenced-based information," Journal of Business Research, Elsevier, vol. 69(8), pages 2849-2862.
    3. Woodside, Arch G., 2012. "Incompetency training: Theory, practice, and remedies," Journal of Business Research, Elsevier, vol. 65(3), pages 279-293.
    4. 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.
    5. 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.
    6. 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 - Labex "OSE-Ouvrir la Science Economique" halshs-00825217, HAL.
    7. 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.
    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. 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.
    10. 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.
    11. 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.
    12. Mai, Nhat Chi, 2022. "Strategic Management," OSF Preprints vauxf, Center for Open Science.
    13. 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.
    14. , 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.
    15. Hanno Drews, 2008. "Abschied vom Marktwachstums-Marktanteils-Portfolio nach über 35 Jahren Einsatz? Eine kritische Überprüfung der BCG-Matrix," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 19(1), pages 39-57, May.
    16. 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.
    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.

  12. 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. 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.
    2. Green, Kesten C., 2008. "Assessing probabilistic forecasts about particular situations," MPRA Paper 8836, University Library of Munich, Germany.
    3. 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.
    4. J.S. Armstrong, 2005. "Structured Analogies for Forecasting," General Economics and Teaching 0502001, University Library of Munich, Germany.
    5. 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.
    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. 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.
    9. Edieal J. Pinker, 2007. "An Analysis of Short-Term Responses to Threats of Terrorism," Management Science, INFORMS, vol. 53(6), pages 865-880, June.

  13. 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. 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.
    2. 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.
    3. 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.
    4. Michael R. Czinkota & Ilkka A. Ronkainen, 2009. "Trends and Indications in International Business," Management International Review, Springer, vol. 49(2), pages 249-265, April.
    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. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    7. 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).
    8. 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.
    9. 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.
    10. 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).
    11. Green, Kesten C., 2008. "Assessing probabilistic forecasts about particular situations," MPRA Paper 8836, University Library of Munich, Germany.
    12. 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.
    13. 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.
    14. 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.
    15. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. Solvoll, Gisle & Mathisen, Terje Andreas & Welde, Morten, 2020. "Forecasting air traffic demand for major infrastructure changes," Research in Transportation Economics, Elsevier, vol. 82(C).
    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. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. Wright, Malcolm J. & Stern, Philip, 2015. "Forecasting new product trial with analogous series," Journal of Business Research, Elsevier, vol. 68(8), pages 1732-1738.
    28. 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).
    29. 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.
    30. 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).
    31. 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.
    32. 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).

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. 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. 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.
    3. Woodside, Arch G., 2020. "Interventions as experiments: Connecting the dots in forecasting and overcoming pandemics, global warming, corruption, civil rights violations, misogyny, income inequality, and guns," Journal of Business Research, Elsevier, vol. 117(C), pages 212-218.
    4. 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.
    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. 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.
    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. Thomson, Mary E. & Pollock, Andrew C. & Önkal, Dilek & Gönül, M. Sinan, 2019. "Combining forecasts: Performance and coherence," International Journal of Forecasting, Elsevier, vol. 35(2), pages 474-484.
    2. Cameron, Andrew & Nelson, Rohan, 2022. "Enabling Users to Evaluate the Accuracy of ABARES Agricultural Forecasts," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 30(7), November.

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

    Cited by:

    1. Calatayud, Julia & Jornet, Marc & Mateu, Jorge & Pinto, Carla M.A., 2023. "A new population model for urban infestations," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    2. Søren Kjærgaard & Yunus Emre Ergemen & Malene Kallestrup-Lamb & Jim Oeppen & Rune Lindahl-Jacobsen, 2019. "Forecasting Causes of Death using Compositional Data Analysis: the Case of Cancer Deaths," CREATES Research Papers 2019-07, Department of Economics and Business Economics, Aarhus University.
    3. Bolger, Fergus & Wright, George, 2017. "Use of expert knowledge to anticipate the future: Issues, analysis and directions," International Journal of Forecasting, Elsevier, vol. 33(1), pages 230-243.
    4. Kupiec, Paul H., 2020. "Policy uncertainty and bank stress testing," Journal of Financial Stability, Elsevier, vol. 51(C).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. 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.
    12. Gang Cheng & Sicong Wang & Yuhong Yang, 2015. "Forecast Combination under Heavy-Tailed Errors," Econometrics, MDPI, vol. 3(4), pages 1-28, November.
    13. 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.
    14. 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.
    15. 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.
    16. Juan Tenorio & Wilder Perez, 2024. "Monthly GDP nowcasting with Machine Learning and Unstructured Data," Papers 2402.04165, arXiv.org.
    17. 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.
    18. Fantazzini, Dean, 2023. "Assessing the Credit Risk of Crypto-Assets Using Daily Range Volatility Models," MPRA Paper 117141, University Library of Munich, Germany.
    19. 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.
    20. 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.
    21. Paul H. Kupiec, 2018. "On the accuracy of alternative approaches for calibrating bank stress test models," AEI Economics Working Papers 980152, American Enterprise Institute.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    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. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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).
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. Katarzyna Maciejowska & Bartosz Uniejewski & Rafa{l} Weron, 2022. "Forecasting Electricity Prices," Papers 2204.11735, arXiv.org.

  5. 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.
  6. Green, Kesten C. & Armstrong, J. Scott, 2011. "Role thinking: Standing in other people's shoes to forecast decisions in conflicts," International Journal of Forecasting, Elsevier, vol. 27(1), pages 69-80, January.
    See citations under working paper version above.
  7. 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.

  8. 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. 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.
    3. Höök, Mikael & Tang, Xu, 2013. "Depletion of fossil fuels and anthropogenic climate change—A review," Energy Policy, Elsevier, vol. 52(C), pages 797-809.
    4. Patrick Frank, 2015. "Negligence, Non-Science, and Consensus Climatology," Energy & Environment, , vol. 26(3), pages 391-415, April.
    5. 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.
    6. 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.
    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.

  9. Kesten Green & Len Tashman, 2008. "Should We Define Forecast Error as E = F - A Or E = A - F?," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 10, pages 38-40, Summer.

    Cited by:

    1. SIMIONESCU, Mihaela, 2014. "Assessing The Forecasts Accuracy Of The Weight Of Fiscal Revenues In Gdp For Romania," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 18(3), pages 8-24.
    2. Lucian Liviu ALBU & Carlos MatéJIMÉNEZ & Mihaela SIMIONESCU, 2015. "The Assessment of Some Macroeconomic Forecasts for Spain using Aggregated Accuracy Indicators," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 30-47, June.

  10. 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.
  11. 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.
  12. 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.
  13. 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).

  14. 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.
  15. 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.

    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. 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. 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).
    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. 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. 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.
    8. 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.
    9. 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.
    10. 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. 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.

    Cited by:

    1. 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.
    2. Shefrin, Hersh, 2002. "Behavioral decision making, forecasting, game theory, and role-play," International Journal of Forecasting, Elsevier, vol. 18(3), pages 375-382.
    3. 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.
    4. Green, Kesten C., 2002. "Embroiled in a conflict: who do you call?," International Journal of Forecasting, Elsevier, vol. 18(3), pages 389-395.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Woodside, Arch G., 2012. "Incompetency training: Theory, practice, and remedies," Journal of Business Research, Elsevier, vol. 65(3), pages 279-293.
    10. Bolton, Gary E., 2002. "Game theory's role in role-playing," International Journal of Forecasting, Elsevier, vol. 18(3), pages 353-358.
    11. Erev, Ido & Roth, Alvin E. & Slonim, Robert L. & Barron, Greg, 2002. "Predictive value and the usefulness of game theoretic models," International Journal of Forecasting, Elsevier, vol. 18(3), pages 359-368.
    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. Armstrong, J. Scott, 2002. "Assessing Game Theory, Role Playing, and Unaided Judgment," MPRA Paper 81670, University Library of Munich, Germany.
    14. Bozos, Konstantinos & Nikolopoulos, Konstantinos, 2011. "Forecasting the value effect of seasoned equity offering announcements," European Journal of Operational Research, Elsevier, vol. 214(2), pages 418-427, October.
    15. Goodwin, Paul, 2002. "Forecasting games: can game theory win?," International Journal of Forecasting, Elsevier, vol. 18(3), pages 369-374.
    16. 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.
    17. J.S. Armstrong, 2005. "Structured Analogies for Forecasting," General Economics and Teaching 0502001, University Library of Munich, Germany.
    18. 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.
    19. 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.
    20. 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.
    21. Olivier Barreteau & Patrice Garin & Alexandre Dumontier & Geraldine Abrami & Flavie Cernesson, 2003. "Agent-Based Facilitation of Water Allocation: Case Study in the Drome River Valley," Group Decision and Negotiation, Springer, vol. 12(5), pages 441-461, September.
    22. Bekius, Femke & Gomes, Sharlene L., 2023. "A framework to design game theory-based interventions for strategic analysis of real-world problems with stakeholders," European Journal of Operational Research, Elsevier, vol. 309(2), pages 925-938.
    23. Konstantinos Nikolopoulos, 2010. "Forecasting with quantitative methods: the impact of special events in time series," Applied Economics, Taylor & Francis Journals, vol. 42(8), pages 947-955.
    24. Martin Hrubý, 2008. "Algorithmic Approaches to Game-theoretical Modeling and Simulation," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 2(3), pages 268-300, December.
    25. 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.
    26. 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.
    27. Martin Hrubý & Petr Čambala & Jan Toufar, 2010. "Game-Theoretic Modeling of Electricity Markets in Central Europe," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 4(1), pages 032-061, March.
    28. 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.
    29. T E van der Lei & W A H Thissen, 2009. "Quantitative problem structuring methods for multi-actor problems: an analysis of reported applications," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(9), pages 1198-1206, September.
    30. 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.
    31. 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.
    32. 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.
    33. Stekler, H. O., 2003. "Improving our ability to predict the unusual event," International Journal of Forecasting, Elsevier, vol. 19(2), pages 161-163.
    34. Wright, George & Goodwin, Paul, 2009. "Decision making and planning under low levels of predictability: Enhancing the scenario method," International Journal of Forecasting, Elsevier, vol. 25(4), pages 813-825, October.
    35. 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.
    36. J Bryant, 2007. "Drama theory: dispelling the myths," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(5), pages 602-613, May.
    37. Nikolopoulos, Konstantinos I. & Babai, M. Zied & Bozos, Konstantinos, 2016. "Forecasting supply chain sporadic demand with nearest neighbor approaches," International Journal of Production Economics, Elsevier, vol. 177(C), pages 139-148.
    38. Hertzog, Thomas & Poussin, Jean-Christophe & Tangara, Bréhima & Kouriba, Indé & Jamin, Jean-Yves, 2014. "A role playing game to address future water management issues in a large irrigated system: Experience from Mali," Agricultural Water Management, Elsevier, vol. 137(C), pages 1-14.
    39. Edieal J. Pinker, 2007. "An Analysis of Short-Term Responses to Threats of Terrorism," Management Science, INFORMS, vol. 53(6), pages 865-880, June.

  17. Green, Kesten C., 2002. "Embroiled in a conflict: who do you call?," International Journal of Forecasting, Elsevier, vol. 18(3), pages 389-395.

    Cited by:

    1. Bruce Bueno de Mesquita, 2011. "A New Model for Predicting Policy Choices," Conflict Management and Peace Science, Peace Science Society (International), vol. 28(1), pages 65-87, February.

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