The Contingent Wisdom of Dyads: When Discussion Enhances vs. Undermines the Accuracy of Collaborative Judgments
Autor: | Richard P. Larrick, Jennifer S. Mueller, Julia A. Minson |
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Rok vydání: | 2018 |
Předmět: |
Estimation
Computer science Process (engineering) Strategy and Management media_common.quotation_subject 05 social sciences Contrast (statistics) 050109 social psychology Management Science and Operations Research computer.software_genre 050105 experimental psychology Task (project management) Range (mathematics) Bounded function 0501 psychology and cognitive sciences Data mining Function (engineering) computer media_common Cognitive psychology |
Zdroj: | Management Science. 64:4177-4192 |
ISSN: | 1526-5501 0025-1909 |
DOI: | 10.1287/mnsc.2017.2823 |
Popis: | We evaluate the effect of discussion on the accuracy of collaborative judgments. In contrast to prior research, we show that discussion can either aid or impede accuracy relative to the averaging of collaborators’ independent judgments, as a systematic function of task type and interaction process. For estimation tasks with a wide range of potential estimates, discussion aided accuracy by helping participants prevent and eliminate egregious errors. For estimation tasks with a naturally bounded range, discussion following independent estimates performed on par with averaging. Importantly, if participants did not first make independent estimates, discussion greatly harmed accuracy by limiting the range of considered estimates, independent of task type. Our research shows that discussion can be a powerful tool for error reduction, but only when appropriately structured: Decision makers should form independent judgments to consider a wide range of possible answers, and then use discussion to eliminate extremely large errors. Data and the online appendix are available at https://doi.org/10.1287/mnsc.2017.2823 . This paper was accepted by Yuval Rottenstreich, judgment and decision making. |
Databáze: | OpenAIRE |
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