IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v54y2021i2p159-172.html
   My bibliography  Save this article

The implications of rating systems on workforce performance

Author

Listed:
  • Christopher Green
  • Morvarid Rahmani

Abstract

Enhancing workforce performance is the key to success for professional firms. Firms often evaluate workers based on their performance compared with their peers or against an objective standard. Which of these rating systems leads to higher workforce performance? To answer this question, we construct game-theoretic models of two performance rating systems: (i) a Relative rating system where workers compete with each other for a constrained number of high ratings, and (ii) an Absolute rating system where workers are awarded high ratings by performing at or above a standard threshold. We derive the workers’ equilibrium performance as a function of their ability and the characteristics of the rating pool. From a firm’s perspective, we find that an Absolute rating system can lead to higher performance than a Relative rating system when the rating pool size is small or the workers’ cost of effort relative to their efficiency rate is low, and the reverse holds true otherwise. When considering the workers’ perspective, we find that higher ability workers prefer an Absolute system due to its predictable nature, while lower ability workers prefer a Relative system as it provides them an opportunity to outperform other workers.

Suggested Citation

  • Christopher Green & Morvarid Rahmani, 2021. "The implications of rating systems on workforce performance," IISE Transactions, Taylor & Francis Journals, vol. 54(2), pages 159-172, November.
  • Handle: RePEc:taf:uiiexx:v:54:y:2021:i:2:p:159-172
    DOI: 10.1080/24725854.2021.1944704
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24725854.2021.1944704
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/24725854.2021.1944704?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:taf:uiiexx:v:54:y:2021:i:2:p:159-172. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/uiie .

    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.