Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022)

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Research on the Matching Model of Talent Team Management of Enterprise A Based on BP Neural Network

Authors
Hui Fang1, 2, 3, LiLi Song1, 2, Yong Wang1, 2, *
1Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
2Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
3Chengdu Bikai Technology Co., Ltd., Chengdu, 610041, China
*Corresponding author. Email: wangy@psych.ac.cn
Corresponding Author
Yong Wang
Available Online 15 December 2022.
DOI
10.2991/978-94-6463-038-1_13How to use a DOI?
Keywords
State-owned enterprises; Managers; BP neural network; Job matching
Abstract

The job matching system occupies an important position in human resource management and plays a pivotal role in the healthy and orderly development of modern enterprises. This study takes BP neural network as the theoretical basis and establishes the human-job matching measurement model for managers of state-owned enterprises according to the job analysis of state-owned enterprises. On the one hand, it overcomes the problem of strong subjective factors in the past general evaluation methods and largely enhances the scope of application of BP neural network; on the other hand, it provides intellectual support and theoretical support for the establishment of a perfect index system for measuring the matching of managers of state-owned enterprises in China, which can reasonably and effectively provide scientific and effective basis for the selection of managers of state-owned enterprises and improve the overall quality of the talent team. On the other hand, it can provide intellectual support and theoretical support for the establishment of a perfect personnel matching index system for state-owned enterprises, which can provide scientific and effective basis for the selection of state-owned enterprises’ management personnel and improve the overall quality of the talent team.

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.

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Volume Title
Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022)
Series
Atlantis Highlights in Engineering
Publication Date
15 December 2022
ISBN
10.2991/978-94-6463-038-1_13
ISSN
2589-4943
DOI
10.2991/978-94-6463-038-1_13How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Hui Fang
AU  - LiLi Song
AU  - Yong Wang
PY  - 2022
DA  - 2022/12/15
TI  - Research on the Matching Model of Talent Team Management of Enterprise A Based on BP Neural Network
BT  - Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022)
PB  - Atlantis Press
SP  - 124
EP  - 133
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-038-1_13
DO  - 10.2991/978-94-6463-038-1_13
ID  - Fang2022
ER  -