IDEAS home Printed from https://ideas.repec.org/a/cup/maorev/v19y2023i5p1005-1038_8.html
   My bibliography  Save this article

Fraud Transmission Mechanisms within Community: Peer Concealing and Hinting among Chinese Listed Corporations

Author

Listed:
  • Zhang, Jing
  • Feng, Yuan
  • Bai, Yuntao
  • Lin, Yongjian

Abstract

We explored the transmission mechanisms of corporate fraud and its punishments within social network communities. Using fraud triangle theory and trust triangle theory, we hypothesize four transmitting channels of how fraud commission and detection are affected by peers’ fraud and punishment. Based on Chinese listed corporations from 2008 to 2018, we first construct and detect interlocked social network communities with a community-detecting algorithm, and then examine hypotheses using a bivariate probit model with partial observability. Our findings indicate that peer-concealing and -hinting effects exist within social network communities. The peer-concealing effect decreases the likelihood of being detected when committing fraud, for those with more and closer fraudulent peers. The peer-hinting effect increases the likelihood of being detected when committing fraud, for those with more and closer punished peers. There is no evidence to support peer-contagion and vicarious-punishment effects. Thus, an improved understanding of the transmission mechanism of corporate fraud commission and detection within communities is provided to prevent and detect corporate fraud. In addition, stakeholders and regulators should be aware of the deviant subculture and social distancing in social network communities.

Suggested Citation

  • Zhang, Jing & Feng, Yuan & Bai, Yuntao & Lin, Yongjian, 2023. "Fraud Transmission Mechanisms within Community: Peer Concealing and Hinting among Chinese Listed Corporations," Management and Organization Review, Cambridge University Press, vol. 19(5), pages 1005-1038, October.
  • Handle: RePEc:cup:maorev:v:19:y:2023:i:5:p:1005-1038_8
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1740877623000098/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    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:cup:maorev:v:19:y:2023:i:5:p:1005-1038_8. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/mor .

    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.