IDEAS home Printed from https://ideas.repec.org/a/inm/ororsc/v33y2022i3p1094-1115.html
   My bibliography  Save this article

The Aggregation–Learning Trade-off

Author

Listed:
  • Henning Piezunka

    (INSEAD, Fontainebleau, Ile-de-France, France 77300)

  • Vikas A. Aggarwal

    (INSEAD, Fontainebleau, Ile-de-France, France 77300)

  • Hart E. Posen

    (University of Wisconsin–Madison, Madison, Wisconsin 53715)

Abstract

Organizational decision making that leverages the collective wisdom and knowledge of multiple individuals is ubiquitous in management practice, occurring in settings such as top management teams, corporate boards, and the teams and groups that pervade modern organizations. Decision-making structures employed by organizations shape the effectiveness of knowledge aggregation. We argue that decision-making structures play a second crucial role in that they shape the learning of individuals that participate in organizational decision making. In organizational decision making, individuals do not engage in learning by doing but, rather, in what we call learning by participating , which is distinct in that individuals learn by receiving feedback not on their own choices but, rather, on the choice made by the organization. We examine how learning by participating influences the efficacy of aggregation and learning across alternative decision-making structures and group sizes. Our central insight is that learning by participating leads to an aggregation–learning trade-off in which structures that are effective in aggregating information can be ineffective in fostering individual learning. We discuss implications for research on organizations in the areas of learning, microfoundations, teams, and crowds.

Suggested Citation

  • Henning Piezunka & Vikas A. Aggarwal & Hart E. Posen, 2022. "The Aggregation–Learning Trade-off," Organization Science, INFORMS, vol. 33(3), pages 1094-1115, May.
  • Handle: RePEc:inm:ororsc:v:33:y:2022:i:3:p:1094-1115
    DOI: 10.1287/orsc.2021.1477
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/orsc.2021.1477
    Download Restriction: no

    File URL: https://libkey.io/10.1287/orsc.2021.1477?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
    ---><---

    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:inm:ororsc:v:33:y:2022:i:3:p:1094-1115. 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.