A Study on the Relationship Between Competencies and Job Performance of Human Resource Managers in High-Tech Enterprises

DOI

10.2991/978-94-6239-652-4_26How to use a DOI?

Keywords

Competencies; Job Performance; Structural Equation Modeling

Abstract

This study examines the relationship between competencies and job performance among human resource managers in high-tech enterprises, utilizing a Structural Equation Modeling approach for systematic analysis. The results demonstrate that general, managerial, professional, and underlying driving competencies all positively influence job performance. Based on these findings, recommendations are provided for the selection and development of human resource managers within enterprises. The research offers a theoretical foundation for understanding the pathways through which competencies affect job performance and for enhancing both competency and performance levels in this context.

Copyright

© 2026 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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TY  - CONF
AU  - Yufen Jin
AU  - Chengxin Yao
AU  - Aijun Zhou
AU  - Guangwei Zhang
AU  - Ting Wang
AU  - Chenchen Zhang
PY  - 2026
DA  - 2026/04/19
TI  - A Study on the Relationship Between Competencies and Job Performance of Human Resource Managers in High-Tech Enterprises
BT  - Proceedings of the  2026 5th International Conference on Engineering Management and Information Science (EMIS 2026)
PB  - Atlantis Press
SP  - 271
EP  - 277
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-652-4_26
DO  - 10.2991/978-94-6239-652-4_26
ID  - Jin2026
ER  -