IDEAS home Printed from https://ideas.repec.org/a/axf/gbppsa/v3y2025inonep179-185.html
   My bibliography  Save this article

Optimization of Incentive Mechanism for Knowledge-Based Employees under the Perspective of Psychological Contract

Author

Listed:
  • Wu, Yanming

Abstract

In the era of the knowledge-based economy, knowledge workers have emerged as significant carriers of an enterprise's core competitiveness. Nevertheless, traditional incentive mechanisms often overly rely on material rewards, overlooking the intrinsic needs of knowledge workers for psychological contracts. As an informal emotional and responsibility bond between employees and enterprises, psychological contracts directly influence employees' work attitudes, loyalty, and creativity. Currently, many enterprises lack a profound understanding of the characteristics of psychological contracts of knowledge workers when designing incentive mechanisms, resulting in less-than-satisfactory incentive effects. Employees' cognitive biases towards psychological contracts, enterprises' neglect of contract maintenance, and the dynamic imbalance brought about by organizational changes have become key issues restricting the full utilization of the potential of knowledge workers. Therefore, re-examining and optimizing the incentive mechanism for knowledge workers from the perspective of psychological contracts is not only an important way to enhance employee satisfaction and organizational effectiveness but also an inevitable choice for enterprises to achieve sustainable development in the fierce competition.

Suggested Citation

  • Wu, Yanming, 2025. "Optimization of Incentive Mechanism for Knowledge-Based Employees under the Perspective of Psychological Contract," GBP Proceedings Series, Scientific Open Access Publishing, vol. 3(None), pages 179-185.
  • Handle: RePEc:axf:gbppsa:v:3:y:2025:i:none:p:179-185
    as

    Download full text from publisher

    File URL: https://soapubs.com/index.php/GBPPS/article/view/374/375
    Download Restriction: no
    ---><---

    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:axf:gbppsa:v:3:y:2025:i:none:p:179-185. 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: Yuchi Liu (email available below). General contact details of provider: https://soapubs.com/index.php/GBPPS .

    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.