Human Resource Management Effectiveness Evaluation Based on AHP-Entropy Weight Method
- DOI
- 10.2991/978-94-6463-172-2_229How to use a DOI?
- Keywords
- AHP; Entropy weight method; Human resources; Enterprise talent management; Effectiveness evaluation
- Abstract
To improve the accuracy of the overall performance evaluation of the human resource management department, this study proposes a human resource management effectiveness evaluation method based on AHP-entropy weight method. This paper first analyzes the human resource management mode, and selects the influencing factors as the evaluation index from three aspects of talent construction, talent stability and third-party satisfaction, and then applies the AHP-entropy method to complete the selection of the weight of the evaluation index. It constructs a perfect evaluation system of human resource management effectiveness. It is applied to the actual evaluation of human resource management effectiveness in order to prove the practicability of the proposed evaluation method. The experimental results indicate that the proposed method can effectively and scientifically evaluate the effectiveness of human resource management in enterprises. Besides, the evaluation results are consistent with the actual results, which has certain accuracy and good application value.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zhi Qu PY - 2023 DA - 2023/06/30 TI - Human Resource Management Effectiveness Evaluation Based on AHP-Entropy Weight Method BT - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023) PB - Atlantis Press SP - 2055 EP - 2062 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-172-2_229 DO - 10.2991/978-94-6463-172-2_229 ID - Qu2023 ER -