Practical Experience of Optimizing Talent Management System in State-Owned Enterprises
Authors
Yunfei Xu1, *, Yan Chang1, Shan Jin2
1State Grid Energy Research Institute Co. LTD, Changping, 102209, Beijing, China
2Ningbo Xinsheng Medium Voltage Electrics Co. LTD, Ningbo, 315032, Zhejiang, China
*Corresponding author.
Email: xuyunfei@sgeri.sgcc.com.cn
Corresponding Author
Yunfei Xu
Available Online 15 October 2024.
- DOI
- 10.2991/978-94-6463-542-3_71How to use a DOI?
- Keywords
- Talent management; System optimization; Practical experience
- Abstract
Talent resource is the most precious resource, and talent advantage is the most fundamental advantage. Talent management in state-owned enterprises is helpful to accelerate the transformation of “the first resource” of talents into “the first advantage”. Based on the principles of typicality and popularization, this paper sorts out the practice of China Nuclear Power Engineering Co., Ltd. and China General Nuclear Power Group, and provides practical reference and experience enlightenment for the optimization of talent management system in state-owned enterprises.
- Copyright
- © 2024 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 - Yunfei Xu AU - Yan Chang AU - Shan Jin PY - 2024 DA - 2024/10/15 TI - Practical Experience of Optimizing Talent Management System in State-Owned Enterprises BT - Proceedings of the 2024 2nd International Conference on Management Innovation and Economy Development (MIED 2024) PB - Atlantis Press SP - 618 EP - 624 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-542-3_71 DO - 10.2991/978-94-6463-542-3_71 ID - Xu2024 ER -