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The impact of task characteristics on the performance of structured group forecasting techniques

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Cited by:

  1. Wright, George, 2002. "Game theory, game theorists, university students, role-playing and forecasting ability," International Journal of Forecasting, Elsevier, vol. 18(3), pages 383-387.
  2. Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Stahre, Johan, 2017. "Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030," International Journal of Production Economics, Elsevier, vol. 191(C), pages 154-169.
  3. Ian Belton & Kerstin Cuhls & George Wright, 2022. "A critical evaluation of 42, large‐scale, science and technology foresight Delphi surveys," Futures & Foresight Science, John Wiley & Sons, vol. 4(2), June.
  4. Goodwin, Paul, 2002. "Integrating management judgment and statistical methods to improve short-term forecasts," Omega, Elsevier, vol. 30(2), pages 127-135, April.
  5. Nur, Suardi & Burton, Bruce & Bergmann, Ariel, 2023. "Evidence on optimal risk allocation models for Indonesian geothermal projects under PPP contracts," Utilities Policy, Elsevier, vol. 81(C).
  6. Meijering, Jurian V. & Tobi, Hilde, 2016. "The effect of controlled opinion feedback on Delphi features: Mixed messages from a real-world Delphi experiment," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 166-173.
  7. 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.
  8. 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.
  9. Delke, Vincent & Schiele, Holger & Buchholz, Wolfgang & Kelly, Stephen, 2023. "Implementing Industry 4.0 technologies: Future roles in purchasing and supply management," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  10. 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.
  11. 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).
  12. Barrios, Maite & Guilera, Georgina & Nuño, Laura & Gómez-Benito, Juana, 2021. "Consensus in the delphi method: What makes a decision change?," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
  13. Wentholt, M.T.A. & Rowe, G. & König, A. & Marvin, H.J.P. & Frewer, L.J., 2009. "The views of key stakeholders on an evolving food risk governance framework: Results from a Delphi study," Food Policy, Elsevier, vol. 34(6), pages 539-548, December.
  14. Gebhardt, Maximilian & Spieske, Alexander & Birkel, Hendrik, 2022. "The future of the circular economy and its effect on supply chain dependencies: Empirical evidence from a Delphi study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
  15. Ståle Navrud & Jon Strand, 2018. "Valuing Global Ecosystem Services: What Do European Experts Say? Applying the Delphi Method to Contingent Valuation of the Amazon Rainforest," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(1), pages 249-269, May.
  16. von Briel, Frederik, 2018. "The future of omnichannel retail: A four-stage Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 217-229.
  17. 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.
  18. Landeta, Jon & Barrutia, Jon, 2011. "People consultation to construct the future: A Delphi application," International Journal of Forecasting, Elsevier, vol. 27(1), pages 134-151, January.
  19. 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.
  20. 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).
  21. 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.
  22. 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.
  23. 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.
  24. Kannan Govindan & Vernika Agarwal & Jyoti Dhingra Darbari & P. C. Jha, 2019. "An integrated decision making model for the selection of sustainable forward and reverse logistic providers," Annals of Operations Research, Springer, vol. 273(1), pages 607-650, February.
  25. Van Swol, Lyn M., 2011. "Forecasting another's enjoyment versus giving the right answer: Trust, shared values, task effects, and confidence in improving the acceptance of advice," International Journal of Forecasting, Elsevier, vol. 27(1), pages 103-120, January.
  26. Landeta, Jon & Barrutia, Jon, 2011. "People consultation to construct the future: A Delphi application," International Journal of Forecasting, Elsevier, vol. 27(1), pages 134-151.
  27. Van Swol, Lyn M., 2011. "Forecasting another’s enjoyment versus giving the right answer: Trust, shared values, task effects, and confidence in improving the acceptance of advice," International Journal of Forecasting, Elsevier, vol. 27(1), pages 103-120.
  28. Shrikant Krupasindhu Panigrahi & Foo Weng Kar & Tan Ai Fen & Lam Kah Hoe & Melvin Wong, 2018. "A Strategic Initiative for Successful Reverse Logistics Management in Retail Industry," Global Business Review, International Management Institute, vol. 19(3_suppl), pages 151-175, June.
  29. Samir Mili & Manuel Rodríguez Zúñiga, 2001. "Exploring future developments in international olive oil trade and marketing: A Spanish perspective," Agribusiness, John Wiley & Sons, Ltd., vol. 17(3), pages 397-415.
  30. Christopher Münch & Heiko A. von der Gracht, 2021. "A bibliometric review of scientific theory in futures and foresight: A commentary on Fergnani and Chermack 2021," Futures & Foresight Science, John Wiley & Sons, vol. 3(3-4), September.
  31. Kawamoto, Carlos Tadao & Wright, James Terence Coulter & Spers, Renata Giovinazzo & de Carvalho, Daniel Estima, 2019. "Can we make use of perception of questions' easiness in Delphi-like studies? Some results from an experiment with an alternative feedback," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 296-305.
  32. repec:eee:intfor:v:27:y:2011:i:1:p:1-13 is not listed on IDEAS
  33. Meijering, Jurian Vincent & Tobi, Hilde, 2018. "The effects of feeding back experts’ own initial ratings in Delphi studies: A randomized trial," International Journal of Forecasting, Elsevier, vol. 34(2), pages 216-224.
  34. 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.
  35. Daniel E. O'Leary, 2007. "Knowledge representation of rules: a note," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 15(1‐2), pages 73-84, January.
  36. 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.
  37. Makkonen, Marika & Hujala, Teppo & Uusivuori, Jussi, 2016. "Policy experts' propensity to change their opinion along Delphi rounds," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 61-68.
  38. Bonaccio, Silvia & Dalal, Reeshad S., 2006. "Advice taking and decision-making: An integrative literature review, and implications for the organizational sciences," Organizational Behavior and Human Decision Processes, Elsevier, vol. 101(2), pages 127-151, November.
  39. Landeta Rodríguez, Jon & Barrutia Güenaga, Jon & Hoyos Iruarrizaga, Jon & Araujo de la Mata, Andrés, 2015. "Initiatives for the improvement of continuous management training," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
  40. Moutinho, José da Assunção & Fernandes, Gabriela & Rabechini, Roque, 2024. "Evaluation in design science: A framework to support project studies in the context of University Research Centres," Evaluation and Program Planning, Elsevier, vol. 102(C).
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