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Information Exchange in Group Decision Making: The Hidden Profile Problem Reconsidered

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  • John P. Lightle

    (Department of Economics, Florida State University, Tallahassee, Florida 32306)

  • John H. Kagel

    (Department of Economics, Ohio State University, Columbus, Ohio 43210)

  • Hal R. Arkes

    (Department of Psychology, Ohio State University, Columbus, Ohio 43210)

Abstract

Group decision making provides a mechanism for channeling individual members' knowledge into productive organizational outcomes. However, in hidden profile experiments in which group members have common information favoring an inferior choice, with private information favoring a superior choice, groups typically choose an inferior alternative. We report a hidden profile experiment where we induce homogenous preferences over choice characteristics and provide financial incentives so that the common purpose assumptions of the model hold more completely than in past experiments. Nevertheless, groups continue to choose an inferior alternative most of the time. These failures primarily result from mistakes in recalling information. Mistakes in recalling common information (which favors an inferior candidate) are typically corrected, whereas mistakes in recalling the private information needed to uncover the hidden profile cannot be corrected. Therefore, the dismal performance of groups in pooling the information needed to identify the superior option primarily result from the structure of the problem rather than deficiencies in how groups share and process information. The discussions necessary to resolve mistakes in recalling common information also help to explain the often noted fact that groups spend a disproportionate amount of time discussing common information.

Suggested Citation

  • John P. Lightle & John H. Kagel & Hal R. Arkes, 2009. "Information Exchange in Group Decision Making: The Hidden Profile Problem Reconsidered," Management Science, INFORMS, vol. 55(4), pages 568-581, April.
  • Handle: RePEc:inm:ormnsc:v:55:y:2009:i:4:p:568-581
    DOI: 10.1287/mnsc.1080.0975
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    References listed on IDEAS

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    Cited by:

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    2. Janvrin, Diane & Mascha, Maureen Francis, 2014. "The financial close process: Implications for future research," International Journal of Accounting Information Systems, Elsevier, vol. 15(4), pages 381-399.
    3. Shelley D. Dionne & Hiroki Sayama & Francis J. Yammarino, 2019. "Diversity and Social Network Structure in Collective Decision Making: Evolutionary Perspectives with Agent-Based Simulations," Complexity, Hindawi, vol. 2019, pages 1-16, March.
    4. Fifić, Mario & Gigerenzer, Gerd, 2014. "Are two interviewers better than one?," Journal of Business Research, Elsevier, vol. 67(8), pages 1771-1779.
    5. Xiao, Yazhen & Zhang, Haisu & Basadur, Timothy M., 2016. "Does information sharing always improve team decision making? An examination of the hidden profile condition in new product development," Journal of Business Research, Elsevier, vol. 69(2), pages 587-595.
    6. Bonner, Bryan L. & Bolinger, Alexander R., 2013. "Separating the confident from the correct: Leveraging member knowledge in groups to improve decision making and performance," Organizational Behavior and Human Decision Processes, Elsevier, vol. 122(2), pages 214-221.
    7. Boris Maciejovsky & David V. Budescu, 2020. "Too Much Trust in Group Decisions: Uncovering Hidden Profiles by Groups and Markets," Organization Science, INFORMS, vol. 31(6), pages 1497-1514, November.
    8. Saori CHIBA, 2018. "Hidden Profiles and Persuasion Cascades in Group Decision-Making," Discussion papers e-18-001, Graduate School of Economics , Kyoto University.
    9. Lightle, John P., 2016. "A rational choice model of the biased recall of information," Economic Modelling, Elsevier, vol. 53(C), pages 487-493.
    10. Muhren, W.J. & Durbic, D. & van de Walle, B.A., 2010. "Exploring decision-relevant information pooling by humanitarian disaster response teams," Other publications TiSEM d918f8c6-2f4b-4765-815b-8, Tilburg University, School of Economics and Management.
    11. Ming Tang & Huchang Liao, 2023. "Group Structure and Information Distribution on the Emergence of Collective Intelligence," Decision Analysis, INFORMS, vol. 20(2), pages 133-150, June.
    12. John P. Lightle, 2014. "The Paternalistic Bias of Expert Advice," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 23(4), pages 876-898, December.
    13. Henrik Franke & Stephanie Eckerd & Kai Foerstl, 2022. "Rising to the Top: Motivational Forces Influencing Status Conflict in Sourcing Teams," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 963-983, March.

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