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On Horns and Halos: Confirmation Bias and Job Rotation

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  • Daniel Müller

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    Abstract

    Confirmation bias, which refers to unintentional and unknowing selectivity in the use of evidence, belongs to the major problems faced by organizations. In this article, we discuss job rotation as a natural solution to this problem. In a nutshell, adopting job rotation provides an organization that is plagued by confirmation bias with a more reliable informational footing upon which to base its decisions. Job rotation, however, also comes with a cost, e.g. a loss of productivity or a disruption of work flows. We study this trade-off and identify conditions under which job rotation and specialization are each optimal.

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    File URL: http://www.wiwi.uni-bonn.de/bgsepapers/bonedp/bgse05_2010.pdf
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    Bibliographic Info

    Paper provided by University of Bonn, Germany in its series Bonn Econ Discussion Papers with number bgse05_2010.

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    Length: 39
    Date of creation: Jan 2010
    Date of revision:
    Handle: RePEc:bon:bonedp:bgse05_2010

    Contact details of provider:
    Postal: Bonn Graduate School of Economics, University of Bonn, Adenauerallee 24 - 26, 53113 Bonn, Germany
    Fax: +49 228 73 6884
    Web page: http://www.bgse.uni-bonn.de

    Related research

    Keywords: Confirmation Bias; Job Rotation; Work Organization;

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    16. Eguchi, Kyota, 2005. "Job transfer and influence activities," Journal of Economic Behavior & Organization, Elsevier, vol. 56(2), pages 187-197, February.
    17. Anil Arya, 2004. "Using Job Rotation to Extract Employee Information," Journal of Law, Economics and Organization, Oxford University Press, vol. 20(2), pages 400-414, October.
    18. Canice Prendergast, 1999. "The Provision of Incentives in Firms," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 7-63, March.
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    20. Maury Gittleman & Michael Horrigan & Mary Joyce, 1998. "Flexible workplace practices: Evidence from a nationally representative survey," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 52(1), pages 99-115, October.
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