IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-506-5_3.html

Beyond Tradition: The Implications of Quantum Management Theory for Modern Performance Management

In: Proceedings of the 2024 4th International Conference on Enterprise Management and Economic Development (ICEMED 2024)

Author

Listed:
  • Hongyi Song

    (Gansu Agricultural University, School of Management)

Abstract

The abstract of the paper discusses quantum management theory and its application in modern performance management. It addresses the limitations of traditional performance management models and suggests integrating quantum physics principles, particularly the uncertainty principle, to increase flexibility and adaptability in management. The paper emphasizes the importance of considering uncertainty in goal-setting to balance interests and focus on sustainable development. It also explores inclusive management assessment methods that focus on both specific performance goals and the long-term value and overall needs of employees. Additionally, the paper examines flexible methods for linking compensation with performance, highlighting the importance of meeting employees’ overall and individualized needs. This approach recognizes employees as not just contributors to performance but as individuals with diverse values and needs. Overall, the paper proposes a more flexible, comprehensive, and humanized approach to performance management.

Suggested Citation

  • Hongyi Song, 2024. "Beyond Tradition: The Implications of Quantum Management Theory for Modern Performance Management," Advances in Economics, Business and Management Research, in: Hongbing Cheng & Sikandar Ali Qalati & Noor Sharoja Binti Sapiei & Mazni Binti Abdullah (ed.), Proceedings of the 2024 4th International Conference on Enterprise Management and Economic Development (ICEMED 2024), pages 20-26, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-506-5_3
    DOI: 10.2991/978-94-6463-506-5_3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:advbcp:978-94-6463-506-5_3. 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.