IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/30427.html
   My bibliography  Save this paper

Team Incentives and Lower Ability Workers: A Real-Effort Experiment

Author

Listed:
  • Richard B. Freeman
  • Xiaofei Pan
  • Xiaolan Yang
  • Maoliang Ye

Abstract

Despite a large literature on team incentives, studies on teams in a purely financial sense are limited. In such environments, team members independently engage in tasks with identifiable individual contributions, while their compensation is partially linked to team outputs. We con-ducted an experiment of such scenario with three distribution schemes (equal sharing, individ-ual piece rate, and winner-takes-all) and examined these schemes both with and without a team threshold. Our results showed the surprising power of equal sharing on improving team produc-tivity compared to winner-takes-all and individual piece-rate, contradicting the predictions of the standard economics theory. Our findings reveal that the higher team output observed under equal sharing was driven by the increased productivity of less able workers. This could be at-tributed to an explanation of guilt aversion and cannot be illuminated by several alternative theories. We also found that participants preferred piece rate over the other schemes. Yet, the presence of a team threshold highlighted the importance of cooperation, leading to a greater preference for equal sharing. Our findings suggest that organizations with workers of varying abilities are likely to benefit from an appropriate equal sharing component tailored to their re-sponsiveness to sharing in rewards.

Suggested Citation

  • Richard B. Freeman & Xiaofei Pan & Xiaolan Yang & Maoliang Ye, 2022. "Team Incentives and Lower Ability Workers: A Real-Effort Experiment," NBER Working Papers 30427, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:30427
    Note: IO LS PR
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w30427.pdf
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:30427. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.