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The psychological effects of centrality bias: an experimental analysis

Author

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  • Irene Trapp

    (TU Dortmund University)

  • Rouven Trapp

    (University of Groningen)

Abstract

This paper examines the psychological mechanisms that are activated by centrality bias in the context of subjective performance evaluation. Centrality bias refers to compressed evaluations of subordinates, implying that the variance in the performance of the evaluated employees is higher than the variance in the rewards determined by the superior. Based on insights from the social psychology literature, we argue that centrality bias may trigger different psychological mechanisms which affect the subordinates’ willingness to exert work effort. We propose that these effects differ depending on whether employees are above-average or below-average performers. In line with our predictions, we detect a considerable asymmetry in the effects of centrality bias. In particular, we find that the relationship between centrality bias and the willingness to exert work effort is negatively mediated by controlled motivation and procedural fairness perceptions for above-average performers. For below-average performers, we find that centrality bias is positively related to procedural fairness perceptions which are, however, unrelated to the willingness to exert work effort. In addition, we shed light on the role of peer information and find that its disclosure has not a significant impact on the psychological mechanisms at work.

Suggested Citation

  • Irene Trapp & Rouven Trapp, 2019. "The psychological effects of centrality bias: an experimental analysis," Journal of Business Economics, Springer, vol. 89(2), pages 155-189, March.
  • Handle: RePEc:spr:jbecon:v:89:y:2019:i:2:d:10.1007_s11573-018-0908-6
    DOI: 10.1007/s11573-018-0908-6
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    1. Frederiksen, Anders & Lange, Fabian & Kriechel, Ben, 2017. "Subjective performance evaluations and employee careers," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 408-429.
    2. Johannes Berger & Christine Harbring & Dirk Sliwka, 2013. "Performance Appraisals and the Impact of Forced Distribution--An Experimental Investigation," Management Science, INFORMS, vol. 59(1), pages 54-68, June.
    3. Axel Engellandt & Regina T. Riphahn, 2011. "Evidence on Incentive Effects of Subjective Performance Evaluations," ILR Review, Cornell University, ILR School, vol. 64(2), pages 241-257, January.
    4. repec:bla:jfinan:v:43:y:1988:i:3:p:593-616 is not listed on IDEAS
    5. Greenberg, Jerald & Ashton-James, Claire E. & Ashkanasy, Neal M., 2007. "Social comparison processes in organizations," Organizational Behavior and Human Decision Processes, Elsevier, vol. 102(1), pages 22-41, January.
    6. Patrick Kampkötter & Dirk Sliwka, 2016. "The Complementary Use of Experiments and Field Data to Evaluate Management Practices: The Case of Subjective Performance Evaluations," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 172(2), pages 364-389, June.
    7. Canice Prendergast, 1999. "The Provision of Incentives in Firms," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 7-63, March.
    8. Narisa Tianjing Dai & Xi (Jason) Kuang & Guliang Tang, 2018. "Differential Weighting of Objective Versus Subjective Measures in Performance Evaluation: Experimental Evidence," European Accounting Review, Taylor & Francis Journals, vol. 27(1), pages 129-148, January.
    9. Bonner, Sarah E. & Sprinkle, Geoffrey B., 2002. "The effects of monetary incentives on effort and task performance: theories, evidence, and a framework for research," Accounting, Organizations and Society, Elsevier, vol. 27(4-5), pages 303-345.
    10. Baker, G.P. & Jensen, M.C. & Murphy, K.J., 1988. "Compensation And Incentives: Practice Vs. Theory," Papers 88-05, Rochester, Business - Managerial Economics Research Center.
    11. Bol, Jasmijn C. & Kramer, Stephan & Maas, Victor S., 2016. "How control system design affects performance evaluation compression: The role of information accuracy and outcome transparency," Accounting, Organizations and Society, Elsevier, vol. 51(C), pages 64-73.
    12. Burney, Laurie L. & Henle, Christine A. & Widener, Sally K., 2009. "A path model examining the relations among strategic performance measurement system characteristics, organizational justice, and extra- and in-role performance," Accounting, Organizations and Society, Elsevier, vol. 34(3-4), pages 305-321, April.
    13. Kunz, Alexis H. & Pfaff, Dieter, 2002. "Agency theory, performance evaluation, and the hypothetical construct of intrinsic motivation," Accounting, Organizations and Society, Elsevier, vol. 27(3), pages 275-295, April.
    14. Moers, Frank, 2005. "Discretion and bias in performance evaluation: the impact of diversity and subjectivity," Accounting, Organizations and Society, Elsevier, vol. 30(1), pages 67-80, January.
    15. Stefan Linder, 2016. "Fostering strategic renewal: monetary incentives, merit-based promotions, and engagement in autonomous strategic action," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 27(2), pages 251-280, May.
    16. Jennifer Kunz & Stefan Linder, 2012. "Organizational Control and Work Effort -- Another Look at the Interplay of Rewards and Motivation," European Accounting Review, Taylor & Francis Journals, vol. 21(3), pages 591-621, March.
    17. Frank Hartmann & David Naranjo-Gil & Paolo Perego, 2010. "The Effects of Leadership Styles and Use of Performance Measures on Managerial Work-Related Attitudes," European Accounting Review, Taylor & Francis Journals, vol. 19(2), pages 275-310.
    18. Golman, Russell & Bhatia, Sudeep, 2012. "Performance evaluation inflation and compression," Accounting, Organizations and Society, Elsevier, vol. 37(8), pages 534-543.
    19. Yu-Lin Chen, 2014. "Determinants of biased subjective performance evaluations: evidence from a Taiwanese public sector organization," Accounting and Business Research, Taylor & Francis Journals, vol. 44(6), pages 656-675, December.
    20. Madhav V. Rajan & Stefan Reichelstein, 2006. "Subjective Performance Indicators and Discretionary Bonus Pools," Journal of Accounting Research, Wiley Blackwell, vol. 44(3), pages 585-618, June.
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    More about this item

    Keywords

    Autonomous motivation; Centrality bias; Controlled motivation; Procedural fairness; Subjective performance evaluation;
    All these keywords.

    JEL classification:

    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects

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