IDEAS home Printed from https://ideas.repec.org/a/eee/jeborg/v217y2024icp560-580.html
   My bibliography  Save this article

Team production in endogenous networks

Author

Listed:
  • Brown, Christopher L.

Abstract

Determining when team production is beneficial requires understanding how a team's characteristics affect its productive capabilities. This study proposes a model of team formation and production in which the number of teams established and the characteristics of each are determined by the structure of an endogenous network and synergies between team members. The results of a laboratory experiment, which varies the costs and benefits associated with forming teams, reveal that contributions to team production are generally in line with predictions despite considerable deviations in the team formation process. Overall, there are high rates of efficiency loss in the experiment, with groups obtaining less than half of the aggregate earnings possible, on average, and it is shown that this is largely attributable to sub-optimal network (team) formation. These findings indicate that self-formed teams are unlikely to be optimally constructed.

Suggested Citation

  • Brown, Christopher L., 2024. "Team production in endogenous networks," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 560-580.
  • Handle: RePEc:eee:jeborg:v:217:y:2024:i:c:p:560-580
    DOI: 10.1016/j.jebo.2023.11.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167268123004237
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jebo.2023.11.018?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

    Keywords

    Networks; Network formation; Teams; Public goods; Experiment;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods

    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:eee:jeborg:v:217:y:2024:i:c:p:560-580. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jebo .

    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.