Evaluation Method of High-Tech Talents Training Mechanism Based on Competency Model
- DOI
- 10.2991/978-94-6463-172-2_43How to use a DOI?
- Keywords
- Competency model; Large enterprises; High-tech talents; Talent training mechanism
- Abstract
In view of the difficulty of cultivating modern high-tech talents and the inaccurate evaluation of the existing training mechanism, this paper studies the evaluation method of high-tech talents training mechanism based on competency model. In this paper, the training mechanism of high-tech talents in large enterprises is firstly studied. Then, the determinants of high-tech talents training is selected. Besides, based on the competency model theory, it constructs the competency model of high-tech talents in large enterprises, and finally builds a clear relationship between the incentive mechanism according to the model to realize the evaluation of the high-tech talents training mechanism. The experimental results indicate that the proposed method can be used to scientifically evaluate the talent training mechanism in enterprises, and has certain 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 - Lunan Cheng AU - Zhi Li PY - 2023 DA - 2023/06/30 TI - Evaluation Method of High-Tech Talents Training Mechanism Based on Competency Model BT - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023) PB - Atlantis Press SP - 389 EP - 395 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-172-2_43 DO - 10.2991/978-94-6463-172-2_43 ID - Cheng2023 ER -