IDEAS home Printed from https://ideas.repec.org/a/inm/ororsc/v33y2022i6p2187-2208.html
   My bibliography  Save this article

Hierarchical Inconsistency: A Monitoring Mechanism to Reduce Securities Fraud in Emerging Markets

Author

Listed:
  • Yidi Guo

    (Department of Innovation, Entrepreneurship and Strategy, School of Economics and Management, Tsinghua University, Beijing 100084, China)

  • Xiaowei Rose Luo

    (Area of Entrepreneurship and Family Enterprise, INSEAD, F-77305 Fontainebleau Cedex, France)

  • Danyang Li

    (Department of Sociology, University of California, Berkeley, Berkeley, California 94720)

Abstract

Research has indicated limited effects of formal governance measures on securities fraud prevention in emerging markets due to the weak rule of law. We propose that hierarchical inconsistency, misaligned rank ordering in formal organizational and informal social hierarchies of the corporate elite, can provide a novel monitoring mechanism to reduce securities fraud. Leaders at the top of the two inconsistent hierarchies can feel distressed and motivated to engage in contestation and challenge each other’s authority, thus providing checks and balances and preventing groupthink. This monitoring effect is likely to be stronger when either of the two heads has dominant and unequivocal superiority in their respective hierarchy, making them particularly distressed by the hierarchical inconsistency and prone to contest. We test our argument in the context of publicly listed family-controlled firms in China, where business and family hierarchies may confer superiority to different individuals. Our study contributes to the corporate securities fraud literature by understanding how formal organizational structures and informal social relationships interact and jointly influence governance effectiveness in emerging markets.

Suggested Citation

  • Yidi Guo & Xiaowei Rose Luo & Danyang Li, 2022. "Hierarchical Inconsistency: A Monitoring Mechanism to Reduce Securities Fraud in Emerging Markets," Organization Science, INFORMS, vol. 33(6), pages 2187-2208, November.
  • Handle: RePEc:inm:ororsc:v:33:y:2022:i:6:p:2187-2208
    DOI: 10.1287/orsc.2021.1541
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/orsc.2021.1541
    Download Restriction: no

    File URL: https://libkey.io/10.1287/orsc.2021.1541?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:6:p:2187-2208. 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.