IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v200y2025ics0148296325004369.html
   My bibliography  Save this article

Optimal or detrimental? Distinctiveness in high risk aversion contexts

Author

Listed:
  • Shen, Huajie
  • Sun, Zhongyuan
  • Li, Stan Xiao

Abstract

Optimal distinctiveness—a strategy where firms distance themselves moderately from their peers to gain a competitive advantage while maintaining legitimacy—is widely regarded as a desirable positioning tactic. However, the competitive benefits and legitimacy penalties of distinctiveness are shaped by various contingent factors. To address this gap, we investigate how the legitimacy penalties associated with distinctiveness vary depending on the risk predispositions of audiences. Our findings suggest that firms occupying moderately distinctive positions frequently experience suboptimal performance, as distinctiveness is perceived as a high-risk strategic choice. Audience risk aversion exerts considerable pressure on firms to conform, amplifying the extent to which distinctiveness undermines their legitimacy. Furthermore, we propose that by signaling a firm’s genuine commitment to its market position, authenticity helps alleviate audience risk concerns and reduce the legitimacy penalties associated with distinctiveness. Our analysis of the Canadian insurance industry from 1960 to 2020 provides strong empirical support for these arguments.

Suggested Citation

  • Shen, Huajie & Sun, Zhongyuan & Li, Stan Xiao, 2025. "Optimal or detrimental? Distinctiveness in high risk aversion contexts," Journal of Business Research, Elsevier, vol. 200(C).
  • Handle: RePEc:eee:jbrese:v:200:y:2025:i:c:s0148296325004369
    DOI: 10.1016/j.jbusres.2025.115613
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296325004369
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2025.115613?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:jbrese:v:200:y:2025:i:c:s0148296325004369. 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/jbusres .

    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.