Desirability bias in foresight: Consequences for decision quality based on Delphi results
By Philipp Ecken, Tobias Gnatzy, Heiko A. Gracht. 2011
134 citations recorded by the source corpus.
Subfields: General Decision Sciences, Management Science and Operations Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/10e753de7b0bf3fcfd31cd61fc357d117aa695de
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In General Decision Sciences
In Management Science and Operations Research
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Citations in the corpus
- The future of skills: employment in 2030 (2017, background): “By enabling deliberation and challenging individually held beliefs, these processes can also combat the types of bias that may creep into long-term, expert-led planning (Tichy, 2004; Goodwin and Wright, 2010; Kahneman, 2011; Ecken et al., 2011; Nemet et al., 2016): overconfidence (overweighting priv”
- Making sense of blockchain technology: How will it transform supply chains? (2019, methodology): “To ensure the validity and reliability of the research results, we utilised the expert selection guiding principle from the Delphi methodology (Hasson and Keeney, 2011; Ecken et al., 2011; Bokrantz et al., 2017).”