IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v16y2025i2d10.1007_s13132-024-01785-4.html
   My bibliography  Save this article

Exploring Knowledge-Hiding Dynamics in Chinese Academic Research Teams: A Comprehensive Study

Author

Listed:
  • Jiahui Jin

    (Dalian Maritime University)

  • Mingsi Zhao

    (Dongbei University of Finance and Economics)

  • Fengyu Shi

    (Dongbei University of Finance and Economics)

Abstract

This study investigates knowledge-hiding behaviors within Chinese scientific research teams, focusing on the influence of leadership styles. A survey was conducted among 400 team members from diverse academic departments, experience levels, and genders. The demographic analysis revealed intentional inclusion for a nuanced understanding across disciplines. Knowledge-hiding behaviors, including secrecy of information, hoarding knowledge, and undermining colleagues, exhibited a complex landscape. Leadership styles, particularly intellectual and ethical leadership, emerged as influential factors. Correlation analysis revealed intricate relationships, with intellectual and ethical leadership negatively correlated with knowledge-hiding behaviors. Regression analysis emphasized the mitigating role of intellectual and ethical leadership. Notably, differential leadership exhibited unintended consequences, positively correlating with the secrecy of information. Theoretical implications challenge simplistic leadership-behavior models, advocating for a context-specific approach. Managerially, organizations are urged to prioritize intellectual and ethical leadership development to foster transparent collaboration. The study proposes avenues for future research, emphasizing mixed-methods approaches and exploring organizational and team dynamics. In conclusion, this research contributes valuable insights into knowledge-hiding dynamics, offering practical guidance for organizational interventions and laying the groundwork for nuanced theoretical advancements.

Suggested Citation

  • Jiahui Jin & Mingsi Zhao & Fengyu Shi, 2025. "Exploring Knowledge-Hiding Dynamics in Chinese Academic Research Teams: A Comprehensive Study," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(2), pages 6101-6123, June.
    • Handle: RePEc:spr:jknowl:v:16:y:2025:i:2:d:10.1007_s13132-024-01785-4
    DOI: 10.1007/s13132-024-01785-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-024-01785-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13132-024-01785-4?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.

    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:spr:jknowl:v:16:y:2025:i:2:d:10.1007_s13132-024-01785-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.