Author
Listed:
- Pengfei Rong
(Shanghai Normal University)
- Wei Tao
(Shanghai Normal University)
- Mengjie Guan
(Shanghai Normal University)
- Lan Zhang
(Shanghai Normal University)
Abstract
As a special leadership style of the enterprises under the background of Chinese culture, CEO differential leadership (CEO DL) contains the unique cultural value and often has a far-reaching impact on TMT (top management team) knowledge management and organizational performance. In such a scenario, this study conducts a cross-level model by using the vertical pairing data of CEO and TMT from the various enterprises and aims at exploring the influence mechanisms and the boundary conditions of CEO DL on TMT knowledge hiding (TMT KH) based on the leader-member exchange theory and the social learning theory. Both the correlation analysis and the multilevel structural equation model (MSEM) are used to test the hypotheses of the model, and the empirical data are obtained from 513 executives in 62 TMTs by the anonymous questionnaires which are designed according to the existing mature scales. The paper discovers that CEO DL can weaken TMT KH, this negative impact is produced by promoting team learning (TL), and team competitive climate (TCC) can negatively regulate the above relationships, namely, for the TMT with the weak TCC, TL can effectively reduce the knowledge hiding behavior of TMT, and the indirect impact of CEO DL on TMT KH through TL is more significant. This study reveals the relationships among CEO DL, TMT KH, TL, and TCC, explains how CEO DL reduces the phenomenon of TMT KH through the leadership effectiveness, and provides the new insights and ways for the enterprises to change the leadership style and reduce or eliminate the knowledge hiding behaviors of TMT.
Suggested Citation
Pengfei Rong & Wei Tao & Mengjie Guan & Lan Zhang, 2025.
"The Cross-Level Effect of CEO Differential Leadership on TMT Knowledge Hiding,"
Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(3), pages 11927-11951, September.
Handle:
RePEc:spr:jknowl:v:16:y:2025:i:3:d:10.1007_s13132-024-02391-0
DOI: 10.1007/s13132-024-02391-0
Download full text from publisher
As the access to this document is restricted, you may want to
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:3:d:10.1007_s13132-024-02391-0. 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.