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Who is an expert for foresight? A review of identification methods

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  • Mauksch, Stefanie
  • von der Gracht, Heiko A.
  • Gordon, Theodore J.

Abstract

While decision research tends to treat the question of expertise with suspicion, the capacity of experts within the wider, applied field of foresight often remains unquestioned. In this review of expert identification methods, we share the positive assessment of expert judgment for exploring plausible conditions of the future. However, given the contested status of expertise, it is crucial to know how a particular mode of recruitment, or (more often) a combination of diverse methods, seeks to secure the expert status of a person. Our review is motivated by the conviction that foresight researchers should not only assume value in expertise, but defend this value from scientific viewpoints. Based on an introduction to sociological, behavioral and cognitive perspectives on expertise, we trace the epistemological premises guiding different modes of selection. We list eight expert identification methods and explore their core assumptions, strengths, weaknesses and domain examples. Developing such linkages between priorities in expert selection and the arguments underlying them is the major contribution of this article. A second contribution lies in providing an overview of expert selection methods, ranging from simple and low-cost to more complex and combined methodologies.

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  • 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).
  • Handle: RePEc:eee:tefoso:v:154:y:2020:i:c:s0040162519302562
    DOI: 10.1016/j.techfore.2020.119982
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    as
    1. Kembro, Joakim & Näslund, Dag & Olhager, Jan, 2017. "Information sharing across multiple supply chain tiers: A Delphi study on antecedents," International Journal of Production Economics, Elsevier, vol. 193(C), pages 77-86.
    2. Gilles Hilary & Lior Menzly, 2006. "Does Past Success Lead Analysts to Become Overconfident?," Management Science, INFORMS, vol. 52(4), pages 489-500, April.
    3. 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.
    4. Praveen Sinha & Lawrence D. Brown & Somnath Das, 1997. "A Re†Examination of Financial Analysts' Differential Earnings Forecast Accuracy," Contemporary Accounting Research, John Wiley & Sons, vol. 14(1), pages 1-42, March.
    5. 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.
    6. Green, Kesten C. & Armstrong, J. Scott, 2007. "Structured analogies for forecasting," International Journal of Forecasting, Elsevier, vol. 23(3), pages 365-376.
    7. Yaniv, Ilan & Kleinberger, Eli, 2000. "Advice Taking in Decision Making: Egocentric Discounting and Reputation Formation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(2), pages 260-281, November.
    8. Honda, Hidehito & Washida, Yuichi & Sudo, Akihito & Wajima, Yuichiro & Awata, Keigo & Ueda, Kazuhiro, 2017. "The difference in foresight using the scanning method between experts and non-experts," Technological Forecasting and Social Change, Elsevier, vol. 119(C), pages 18-26.
    9. Dufva, Mikko & Ahlqvist, Toni, 2015. "Knowledge creation dynamics in foresight: A knowledge typology and exploratory method to analyse foresight workshops," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 251-268.
    10. Jerker Denrell & Christina Fang, 2010. "Predicting the Next Big Thing: Success as a Signal of Poor Judgment," Management Science, INFORMS, vol. 56(10), pages 1653-1667, October.
    11. Roberto Poli, 2011. "Ethics and futures studies," International Journal of Management Concepts and Philosophy, Inderscience Enterprises Ltd, vol. 5(4), pages 403-410.
    12. Tiberius, Victor & Hirth, Stefanie, 2019. "Impacts of digitization on auditing: A Delphi study for Germany," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 37(C).
    13. Robert R. Hoffman, 1998. "How Can Expertise be Defined? Implications of Research from Cognitive Psychology," Palgrave Macmillan Books, in: Robin Williams & Wendy Faulkner & James Fleck (ed.), Exploring Expertise, chapter 4, pages 81-100, Palgrave Macmillan.
    14. Mikhail, MB & Walther, BR & Willis, RH, 1997. "Do security analysts improve their performance with experience?," Journal of Accounting Research, Wiley Blackwell, vol. 35, pages 131-157.
    15. Meijering, J.V. & Kampen, J.K. & Tobi, H., 2013. "Quantifying the development of agreement among experts in Delphi studies," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1607-1614.
    16. de Loë, Rob C. & Melnychuk, Natalya & Murray, Dan & Plummer, Ryan, 2016. "Advancing the State of Policy Delphi Practice: A Systematic Review Evaluating Methodological Evolution, Innovation, and Opportunities," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 78-88.
    17. David V. Day & Robert G. Lord, 1992. "Expertise And Problem Categorization: The Role Of Expert Processing In Organizational Sense‐Making," Journal of Management Studies, Wiley Blackwell, vol. 29(1), pages 35-47, January.
    18. Kerstin Cuhls & Luke Georghiou, 2004. "Evaluating a participative foresight process: ‘Futur - the German research dialogue’," Research Evaluation, Oxford University Press, vol. 13(3), pages 143-153, December.
    19. Marchant, G, 1990. "Determinants Of Auditor Expertise - Discussion," Journal of Accounting Research, Wiley Blackwell, vol. 28, pages 21-28.
    20. Devine, Dennis J. & Kozlowski, Steve W. J., 1995. "Domain-Specific Knowledge and Task Characteristics in Decision Making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 64(3), pages 294-306, December.
    21. Rowe, Gene & Wright, George, 1996. "The impact of task characteristics on the performance of structured group forecasting techniques," International Journal of Forecasting, Elsevier, vol. 12(1), pages 73-89, March.
    22. Jonathan Calof & Jack E Smith, 2010. "Critical success factors for government-led foresight," Science and Public Policy, Oxford University Press, vol. 37(1), pages 31-40, February.
    23. Mark A Burgman & Marissa McBride & Raquel Ashton & Andrew Speirs-Bridge & Louisa Flander & Bonnie Wintle & Fiona Fidler & Libby Rumpff & Charles Twardy, 2011. "Expert Status and Performance," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-7, July.
    24. Alvarado-Valencia, Jorge & Barrero, Lope H. & Önkal, Dilek & Dennerlein, Jack T., 2017. "Expertise, credibility of system forecasts and integration methods in judgmental demand forecasting," International Journal of Forecasting, Elsevier, vol. 33(1), pages 298-313.
    25. Andersen, Per Dannemand & Johnston, Ron & Saritas, Ozcan, 2017. "FTA and Innovation Systems," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 236-239.
    26. Dakin, Stephen & Armstrong, J. Scott, 1989. "Predicting job performance: A comparison of expert opinion and research findings," International Journal of Forecasting, Elsevier, vol. 5(2), pages 187-194.
    27. Daniel Kahneman & Dan Lovallo, 1993. "Timid Choices and Bold Forecasts: A Cognitive Perspective on Risk Taking," Management Science, INFORMS, vol. 39(1), pages 17-31, January.
    28. Shanteau, James & Weiss, David J. & Thomas, Rickey P. & Pounds, Julia C., 2002. "Performance-based assessment of expertise: How to decide if someone is an expert or not," European Journal of Operational Research, Elsevier, vol. 136(2), pages 253-263, January.
    29. 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.
    30. Kerstin Cuhls, 2003. "From forecasting to foresight processes-new participative foresight activities in Germany," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(2-3), pages 93-111.
    31. Andrea Sutterlüty & Franziska Hesser & Peter Schwarzbauer & Kurt Christian Schuster & Andreas Windsperger & Tobias Stern, 2017. "A Delphi Approach to Understanding Varying Expert Viewpoints in Sustainability Communication: The Case of Water Footprints of Bio-Based Fiber Resources," Journal of Industrial Ecology, Yale University, vol. 21(2), pages 412-422, April.
    32. Wagner, Sascha Alexander & Vogt, Sebastian & Kabst, Rüdiger, 2016. "The future of public participation: Empirical analysis from the viewpoint of policy-makers," Technological Forecasting and Social Change, Elsevier, vol. 106(C), pages 65-73.
    33. 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.
    34. Wright, George & Ayton, Peter, 1992. "Judgmental probability forecasting in the immediate and medium term," Organizational Behavior and Human Decision Processes, Elsevier, vol. 51(3), pages 344-363, April.
    35. Anca M. Hanea & Marissa F. McBride & Mark A. Burgman & Bonnie C. Wintle, 2018. "The Value of Performance Weights and Discussion in Aggregated Expert Judgments," Risk Analysis, John Wiley & Sons, vol. 38(9), pages 1781-1794, September.
    36. Bedard, Jean, 1989. "Expertise in auditing: Myth or reality?," Accounting, Organizations and Society, Elsevier, vol. 14(1-2), pages 113-131, January.
    37. Shanteau, James, 1992. "Competence in experts: The role of task characteristics," Organizational Behavior and Human Decision Processes, Elsevier, vol. 53(2), pages 252-266, November.
    38. van der Pas, J.W.G.M. & Kwakkel, J.H. & Van Wee, B., 2012. "Evaluating Adaptive Policymaking using expert opinions," Technological Forecasting and Social Change, Elsevier, vol. 79(2), pages 311-325.
    39. Spickermann, Alexander & Grienitz, Volker & von der Gracht, Heiko A., 2014. "Heading towards a multimodal city of the future?," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 201-221.
    40. Jacob, John & Lys, Thomas Z. & Neale, Margaret A., 1999. "Expertise in forecasting performance of security analysts," Journal of Accounting and Economics, Elsevier, vol. 28(1), pages 51-82, November.
    41. 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.
    42. Abdolmohammadi, Mohammad J. & Shanteau, James, 1992. "Personal attributes of expert auditors," Organizational Behavior and Human Decision Processes, Elsevier, vol. 53(2), pages 158-172, November.
    43. Hoffman, Robert R. & Shadbolt, Nigel R. & Burton, A. Mike & Klein, Gary, 1995. "Eliciting Knowledge from Experts: A Methodological Analysis," Organizational Behavior and Human Decision Processes, Elsevier, vol. 62(2), pages 129-158, May.
    44. 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.
    45. 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).
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