IDEAS home Printed from https://ideas.repec.org/a/ids/ijnvor/v32y2025i1-2-3-4p182-202.html
   My bibliography  Save this article

An optimisation strategy for the organisational structure of human resource management based on social networks

Author

Listed:
  • XiaoYan Shi
  • Ao Jiang

Abstract

In order to solve the problems of high employee turnover rate, low task completion rate, and long decision-making time in traditional human resource management organisational structure optimisation methods, an optimisation strategy for the organisational structure of human resource management based on social networks was studied. Establish a human resources management organisational network, identify key individuals, teams, and potential problem areas within the organisation through intermediary centrality, weighted centrality, and clustering coefficients, identify existing problems in the human resources management organisational structure, and propose optimisation strategies for the human resources management organisational structure from multiple aspects such as optimising management structure, innovating management concepts, optimising talent allocation, and strengthening internal communication. The test results show that the employee turnover rate in the 10th month under the application of the proposed method is 8.36%, the task completion rate is 92.76%, and the minimum enterprise decision-making time is 4.5 min.

Suggested Citation

  • XiaoYan Shi & Ao Jiang, 2025. "An optimisation strategy for the organisational structure of human resource management based on social networks," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 32(1/2/3/4), pages 182-202.
  • Handle: RePEc:ids:ijnvor:v:32:y:2025:i:1/2/3/4:p:182-202
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=145372
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:ids:ijnvor:v:32:y:2025:i:1/2/3/4:p:182-202. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=22 .

    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.