IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v101y2026ics1544612326003272.html

Confucian culture, artificial intelligence, and executive financial misconduct: Internal control and information disclosure as governance channels

Author

Listed:
  • Hong, Linlin
  • Xie, Mingjian
  • Liu, Sisi
  • Zhao, Xiaohong

Abstract

Amid the rapid expansion of the digital economy and the modernization of corporate governance, the role of traditional culture in contemporary firms has drawn renewed attention. Using data from Chinese A-share nonfinancial listed companies from 2003 to 2023, this study constructs a Confucian culture text dictionary and identifies firms’ adoption of artificial intelligence (AI) technologies to examine how Confucian cultural values influence executive misconduct and how AI moderates this relationship. The results show that Confucian culture significantly reduces the likelihood, frequency, and financial penalties of executive misconduct, and that these governance effects are further strengthened when firms adopt AI technologies. Mechanism analyses indicate that internal control quality and information disclosure quality are key channels through which Confucian culture and AI jointly mitigate executive misconduct. Building on these findings, this study proposes an integrated governance framework that combines cultural governance with digital governance, offering practical implications for institutionalizing traditional cultural values, strengthening intelligent supervision, and advancing a modern corporate governance system with Chinese characteristics.

Suggested Citation

  • Hong, Linlin & Xie, Mingjian & Liu, Sisi & Zhao, Xiaohong, 2026. "Confucian culture, artificial intelligence, and executive financial misconduct: Internal control and information disclosure as governance channels," Finance Research Letters, Elsevier, vol. 101(C).
  • Handle: RePEc:eee:finlet:v:101:y:2026:i:c:s1544612326003272
    DOI: 10.1016/j.frl.2026.109797
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612326003272
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2026.109797?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:finlet:v:101:y:2026:i:c:s1544612326003272. 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/frl .

    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.