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

Authors: XiaoYan Shi; Ao Jiang

Addresses: Personnel Department of Jiangsu Maritime Institute, NanJing, 211170, China ' Electric Business Division of Dagang Branch of Zhenjiang Port Group, Zhenjiang, 212100, China

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.

Keywords: social networks; human resource management; organisational structure; optimisation strategies; intermediary centrality; weighted centrality; cluster coefficients.

DOI: 10.1504/IJNVO.2025.145372

International Journal of Networking and Virtual Organisations, 2025 Vol.32 No.1/2/3/4, pp.182 - 202

Received: 15 Jul 2024
Accepted: 22 Sep 2024
Published online: 31 Mar 2025 *

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