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The interactive effects of performance evaluation leniency and performance measurement precision on employee effort and performance

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  • Li, Yelin
  • Reichert, Bernhard E.
  • Woods, Alex

Abstract

Research shows that in practice, supervisors without any constraints to their compensation setting behavior often tend to provide lenient performance evaluations to employees. Economic theory criticizes this outcome because leniency is thought to provide lower motivation to exert effort for low and medium as well as high performers. To provide incentives for employees to exert effort, economic theory calls for a distributed compensation approach that ensures employee performance differences lead to compensation differences. This call ignores insights from psychology and specifically from social determination theory (SDT). Using a real-effort experiment, we find that lenient evaluations lead to lower performance than distributed evaluations when performance is measured precisely. However, lenient evaluations lead to higher effort and performance than distributed evaluations when employee performance is measured imprecisely. We show, using a process model, that the positive effect of leniency for imprecise performance measurement on employee performance results from higher levels of task enjoyment, consistent with SDT. Our findings suggest that organizations need to consider the leniency of compensation as well as performance measurement precision jointly to achieve optimal employee effort and performance.

Suggested Citation

  • Li, Yelin & Reichert, Bernhard E. & Woods, Alex, 2024. "The interactive effects of performance evaluation leniency and performance measurement precision on employee effort and performance," Advances in accounting, Elsevier, vol. 64(C).
  • Handle: RePEc:eee:advacc:v:64:y:2024:i:c:s0882611024000026
    DOI: 10.1016/j.adiac.2024.100731
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    1. Luft, Joan & Shields, Michael D., 2010. "Psychology Models of Management Accounting," Foundations and Trends(R) in Accounting, now publishers, vol. 4(3–4), pages 199-345, April.
    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. Klayman, Joshua & Soll, Jack B. & Gonzalez-Vallejo, Claudia & Barlas, Sema, 1999. "Overconfidence: It Depends on How, What, and Whom You Ask, , , , , , , , ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 79(3), pages 216-247, September.
    5. Canice Prendergast, 1999. "The Provision of Incentives in Firms," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 7-63, March.
    6. Grabner, Isabella & Martin, Melissa A., 2021. "The effect of horizontal pay dispersion on the effectiveness of performance-based incentives," Accounting, Organizations and Society, Elsevier, vol. 88(C).
    7. Libby, Robert & Bloomfield, Robert & Nelson, Mark W., 2002. "Experimental research in financial accounting," Accounting, Organizations and Society, Elsevier, vol. 27(8), pages 775-810, November.
    8. Lan Guo & Theresa Libby & Xiaotao (Kelvin) Liu & Yu Tian, 2020. "Vertical Pay Dispersion, Peer Observability, and Misreporting in a Participative Budgeting Setting," Contemporary Accounting Research, John Wiley & Sons, vol. 37(1), pages 575-602, March.
    9. Croson, Rachel & Fatas, Enrique & Neugebauer, Tibor & Morales, Antonio J., 2015. "Excludability: A laboratory study on forced ranking in team production," Journal of Economic Behavior & Organization, Elsevier, vol. 114(C), pages 13-26.
    10. Bengt Holmstrom, 1979. "Moral Hazard and Observability," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 74-91, Spring.
    11. Holmstrom, Bengt & Milgrom, Paul, 1991. "Multitask Principal-Agent Analyses: Incentive Contracts, Asset Ownership, and Job Design," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 7(0), pages 24-52, Special I.
    12. Stewart, Susan M & Gruys, Melissa L & Storm, Maria, 2010. "Forced distribution performance evaluation systems: Advantages, disadvantages and keys to implementation," Journal of Management & Organization, Cambridge University Press, vol. 16(1), pages 168-179, March.
    13. 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.
    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. Patrick Kampkötter & Dirk Sliwka, 2018. "More Dispersion, Higher Bonuses? On Differentiation in Subjective Performance Evaluations," Journal of Labor Economics, University of Chicago Press, vol. 36(2), pages 511-549.
    16. Burke, Joe & Towry, Kristy L. & Young, Donald & Zureich, Jake, 2023. "Ambiguous sticks and carrots: The effect of contract framing and payoff ambiguity on employee effort," Other publications TiSEM 137e042a-cedb-47a7-be2a-7, Tilburg University, School of Economics and Management.
    17. Berger, Leslie & Libby, Theresa & Webb, Alan, 2018. "The effects of tournament horizon and the percentage of winners on social comparisons and performance in multi-period competitions," Accounting, Organizations and Society, Elsevier, vol. 64(C), pages 1-16.
    18. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
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