IDEAS home Printed from https://ideas.repec.org/p/cda/wpaper/350.html
   My bibliography  Save this paper

From Me to We: Beating Procrastination in Teams

Author

Listed:
  • Anujit Chakraborty
  • Guidon Fenig

    (Department of Economics, University of California Davis)

Abstract

Can team incentives increase worker's productivity and decrease procrastination in intertemporal tasks? We recruited just under 600 online workers to engage in tedious tasks over three days. They were randomly assigned to either individualistic (Solo) incentives or to one of two team-based incentives (Cooperative and Competitive). Contrary to theoretical predictions, workers under Cooperative incentives surpassed the performance of those working under either Solo or Competitive incentives. Productivity on Day 1, which in theory should inversely relate to procrastination, was also significantly higher in both team treatments. Our structural analysis confirms that teams increase productivity by enhancing intrinsic motivation and by reducing the tendency to delay work. Finally, teams increase productivity further under Competitive incentives, when workers can observe and react to the efforts of their team members.

Suggested Citation

  • Anujit Chakraborty & Guidon Fenig, 2022. "From Me to We: Beating Procrastination in Teams," Working Papers 350, University of California, Davis, Department of Economics.
    • Handle: RePEc:cda:wpaper:350
    as

    Download full text from publisher

    File URL: https://repec.dss.ucdavis.edu/files/wMB58x7ATyetq2USGQ18aWNm/CF2023_oct.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Claudia Cerrone & Anujit Chakraborty & Hyok Jung Kim & Leonhard Lades, 2023. "Estimating Present Bias and Sophistication over Effort and Money," Working Papers 359, University of California, Davis, Department of Economics.

    More about this item

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D9 - Microeconomics - - Micro-Based Behavioral Economics

    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:cda:wpaper:350. 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: Letters and Science IT Services Unit (email available below). General contact details of provider: https://edirc.repec.org/data/educdus.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.