Decision Support System for Human Resource Management Based on Big Data

Authors

  • Ting He School of Management City Institute, Dalian University of Technology, Dalian 116600 China
  • Tingting Liu Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023 China

Abstract

This paper discusses the importance of building a human resource management decision support system based on big data technology, and analyzes its application value and challenges in human resource management (HRM). By reviewing the research progress of relevant domestic and foreign literature, a new design framework is proposed. In this study, a decision support system that integrates the internal and external big data of an enterprise is designed and implemented to improve the quality and efficiency of HRM decisions. In order to verify the effectiveness of the system, the study conducted empirical comparisons in scenarios such as talent selection, training needs analysis, and salary and benefits strategy formulation. The experimental results show that the new system improves the accuracy, recall rate, and F1 value of talent selection by 20.00%, 25.71%, and 13.25% respectively, and increases the correctness of decision making by 26.47%, improves decision efficiency by 50%, reduces recruitment costs by 37.5%, and increases recruitment satisfaction by 16.67%. In terms of training needs analysis, the accuracy, recall rate, F1 value, correct decision rate and user satisfaction of the new system increased by 21.43%, 27.69%, 25.37% and 28.13% respectively, and the decision-making efficiency increased by 50%. The training effect score and satisfaction increased by 17.14% and 23.53% respectively, and the training cost decreased by 33.33%. In terms of salary and benefits strategy formulation, the new system also made significant progress, with an accuracy increase of 20.55%, a recall increase of 26.47%, an F1 value increase of 24.29%, a decision correctness increase of 27.27%, a decision efficiency increase of 50%, and a salary satisfaction score increase of 38.71%. The innovative contribution of the research is that the system optimizes the human resource allocation process through
intelligent means, significantly improves the efficiency and effectiveness of various HRM tasks, and achieves the in-depth mining and value creation of the human resource data of enterprises.

Keywords: big data, human resources, management decisions, decision support systems

Cite As

T. He, T. Liu, "Decision Support System for Human Resource Management Based on Big Data", Engineering Intelligent Systems, vol. 33 no. 4, pp. 469-480, 2025.


Downloads

Published

2025-07-01

Issue

Vol. 33 No. 4 (2025): International Journal of Engineering Intelligent Systems

Section

Article

License

The submission of a paper implies that, if accepted for publication, it will not be published elsewhere in the same form, in any language, without the prior consent of the publisher. Before publication, authors are requested to assign copyright to CRL Publishing Ltd. This allows CRL to sanction photocopying, and to authorize the reprinting of issues or volumes according to demand. Authors' traditional rights will not be jeopardized by assigning Copyright in this way, as they retain the right to reuse the material following publication, and to veto third-party publication.