IDEAS home Printed from https://ideas.repec.org/r/eee/tefoso/v105y2016icp63-76.html
   My bibliography  Save this item

Biases in future-oriented Delphi studies: A cognitive perspective

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


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. Laura Studen & Victor Tiberius, 2020. "Social Media, Quo Vadis? Prospective Development and Implications," Future Internet, MDPI, vol. 12(9), pages 1-22, August.
  3. Winskel, Mark & Kattirtzi, Michael, 2020. "Transitions, disruptions and revolutions: Expert views on prospects for a smart and local energy revolution in the UK," Energy Policy, Elsevier, vol. 147(C).
  4. Volkmar, Gioia & Fischer, Peter M. & Reinecke, Sven, 2022. "Artificial Intelligence and Machine Learning: Exploring drivers, barriers, and future developments in marketing management," Journal of Business Research, Elsevier, vol. 149(C), pages 599-614.
  5. 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.
  6. Per Dannemand Andersen, 2023. "Constructing Delphi statements for technology foresight," Futures & Foresight Science, John Wiley & Sons, vol. 5(2), June.
  7. Stumpf, Lukas & Schöggl, Josef-Peter & Baumgartner, Rupert J., 2023. "Circular plastics packaging – Prioritizing resources and capabilities along the supply chain," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
  8. Beiderbeck, Daniel & Frevel, Nicolas & von der Gracht, Heiko A. & Schmidt, Sascha L. & Schweitzer, Vera M., 2021. "The impact of COVID-19 on the European football ecosystem – A Delphi-based scenario analysis," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
  9. Simon Kloker & Tim Straub & Christof Weinhardt, 2019. "Moderators for Partition Dependence in Prediction Markets," Group Decision and Negotiation, Springer, vol. 28(4), pages 723-756, August.
  10. Frevel, Nicolas & Beiderbeck, Daniel & Schmidt, Sascha L., 2022. "The impact of technology on sports – A prospective study," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  11. Berbel-Vera, Jose & Barrachina Palanca, Mercedes & Gonzalez-Sanchez, Maria Beatriz, 2022. "Key CDO functions for successful digital transformation: Insights from a Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
  12. 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.
  13. 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.
  14. Marco van Gelderen & Johan Wiklund & Jeffery S. McMullen, 2021. "Entrepreneurship in the Future: A Delphi Study of ETP and JBV Editorial Board Members," Entrepreneurship Theory and Practice, , vol. 45(5), pages 1239-1275, September.
  15. Bonaccorsi, Andrea & Apreda, Riccardo & Fantoni, Gualtiero, 2020. "Expert biases in technology foresight. Why they are a problem and how to mitigate them," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
  16. Peppel, Marcel & Ringbeck, Jürgen & Spinler, Stefan, 2022. "How will last-mile delivery be shaped in 2040? A Delphi-based scenario study," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
  17. Dongik Lee & Sangsuk Lee, 2022. "A Study of the Competitiveness and Development Strategy of Korean Venture Companies in the Fourth Industrial Revolution Using SWOT/AHP," Sustainability, MDPI, vol. 14(9), pages 1-22, April.
  18. Wang, Yingli & Singgih, Meita & Wang, Jingyao & Rit, Mihaela, 2019. "Making sense of blockchain technology: How will it transform supply chains?," International Journal of Production Economics, Elsevier, vol. 211(C), pages 221-236.
  19. Roger Moser & Srinath Rengarajan & Gopalakrishnan Narayanamurthy, 2021. "Decision Intelligence: Creating a Fit between Intelligence Requirements and Intelligence Processing Capacities," IIM Kozhikode Society & Management Review, , vol. 10(2), pages 160-177, July.
  20. Toppinen, Anne & Röhr, Axel & Pätäri, Satu & Lähtinen, Katja & Toivonen, Ritva, 2018. "The future of wooden multistory construction in the forest bioeconomy – A Delphi study from Finland and Sweden," Journal of Forest Economics, Elsevier, vol. 31(C), pages 3-10.
  21. Roßmann, Bernhard & Canzaniello, Angelo & von der Gracht, Heiko & Hartmann, Evi, 2018. "The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 135-149.
  22. Geissler, Dominik & Beiderbeck, Daniel & Schmidt, Sascha L. & Schreyer, Dominik, 2024. "Emerging technologies and shifting consumer motives: Projecting the future of the top-tier sports media product," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
  23. 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).
  24. Hurmekoski, Elias & Lovrić, Marko & Lovrić, Nataša & Hetemäki, Lauri & Winkel, Georg, 2019. "Frontiers of the forest-based bioeconomy – A European Delphi study," Forest Policy and Economics, Elsevier, vol. 102(C), pages 86-99.
  25. 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).
  26. Krigsholm, Pauliina & Zavialova, Sofia & Riekkinen, Kirsikka & Ståhle, Pirjo & Viitanen, Kauko, 2017. "Understanding the future of the Finnish cadastral system – A Delphi study," Land Use Policy, Elsevier, vol. 68(C), pages 133-140.
  27. 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).
  28. 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).
  29. Beiderbeck, Daniel & Evans, Nicolas & Frevel, Nicolas & Schmidt, Sascha L., 2023. "The impact of technology on the future of football – A global Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
  30. Belton, Ian & MacDonald, Alice & Wright, George & Hamlin, Iain, 2019. "Improving the practical application of the Delphi method in group-based judgment: A six-step prescription for a well-founded and defensible process," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 72-82.
  31. Fritschy, Carolin & Spinler, Stefan, 2019. "The impact of autonomous trucks on business models in the automotive and logistics industry–a Delphi-based scenario study," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
  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).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.