IDEAS home Printed from https://ideas.repec.org/a/taf/jtrust/v10y2020i2p159-179.html
   My bibliography  Save this article

Character strengths as predictors of trust and cooperation in economic decision-making

Author

Listed:
  • Steven G. Young
  • Robert E. McGrath

Abstract

Cooperation occupies nearly every aspect of human life. While previous research focuses on how situational factors and personality predict cooperation, less is known about how specific character strengths predict cooperation. In Study 1, we find that higher Self-Control values and lower Inquisitiveness values were associated with a larger contribution in the Trust Game. In Study 2, we find that kindness positively predicted the total amount of money earned in a Prisoner’s Dilemma game. However, Self-Control was not a significant predictor for any dependent measure. We discuss the theoretical and applied implications of these findings, compare our results to other research on dispositional predictors of trust and cooperation, and postulate that the oinconsistent role of Self-Control may be attribouted tof theoretical differences in the Trust and Prisoner’s Dilemma games. Finally, we offer future directions that can build on the present findings.

Suggested Citation

  • Steven G. Young & Robert E. McGrath, 2020. "Character strengths as predictors of trust and cooperation in economic decision-making," Journal of Trust Research, Taylor & Francis Journals, vol. 10(2), pages 159-179, July.
  • Handle: RePEc:taf:jtrust:v:10:y:2020:i:2:p:159-179
    DOI: 10.1080/21515581.2021.1922911
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/21515581.2021.1922911
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/21515581.2021.1922911?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:jtrust:v:10:y:2020:i:2:p:159-179. 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/RJTR20 .

    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.