Proceedings of the 2025 5th International Conference on Business Administration and Data Science (BADS 2025)

Research on Company A’s Competency-Based Training Curriculum System for Infrastructure Talent

Authors
Changqing Du1, Dong Zhao1, Aihong Mao1, Weina Wu1, *, Chun Pei1, Yu Fang1, Qingrong Zhu1
1Jiangsu Power Transmisson & Transformation Co., Ltd., Nanjing, 210000, China
*Corresponding author. Email: 123156943@qq.com
Corresponding Author
Weina Wu
Available Online 26 December 2025.
DOI
10.2991/978-94-6463-980-3_32How to use a DOI?
Keywords
New power system; Competency model; Talent training
Abstract

Against the backdrop of the new power system transformation, the power industry has elevated its core competency requirements for infrastructure talent, prompting State Grid enterprises to reform their human resource management. As a tool bridging job demands and talent development, the competency model provides a precise, personalized implementation framework for talent training by systematically identifying the capabilities and competencies of high-performing individuals. This study analyzes the impact pathways of the new power system transformation on infrastructure enterprises’ operational models and training systems, revealing shortcomings in traditional competency models and training systems when addressing the demand for multi-skilled talent. Based on an analysis of the job responsibilities and competency requirements for positions such as Team Leader/Assistant Team Leader, Chief Engineer, and Project Manager, this study employs literature review, questionnaire surveys, and interviews to conduct an in-depth investigation into the current state of infrastructure talent development at Company A. It establishes a competency model for infrastructure talent centered on three dimensions: comprehensive capabilities, professional capabilities, and personal traits. It systematically outlines implementation pathways for employee competency model reconstruction, competency dictionary coding, and the development of a “full-cycle, systematic” curriculum system, thereby comprehensively enhancing the quality and capabilities of infrastructure talent.

Copyright
© 2025 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 2025 5th International Conference on Business Administration and Data Science (BADS 2025)
Series
Advances in Computer Science Research
Publication Date
26 December 2025
ISBN
978-94-6463-980-3
ISSN
2352-538X
DOI
10.2991/978-94-6463-980-3_32How to use a DOI?
Copyright
© 2025 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  - Changqing Du
AU  - Dong Zhao
AU  - Aihong Mao
AU  - Weina Wu
AU  - Chun Pei
AU  - Yu Fang
AU  - Qingrong Zhu
PY  - 2025
DA  - 2025/12/26
TI  - Research on Company A’s Competency-Based Training Curriculum System for Infrastructure Talent
BT  - Proceedings of the 2025 5th International Conference on Business Administration and Data Science (BADS 2025)
PB  - Atlantis Press
SP  - 340
EP  - 356
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-980-3_32
DO  - 10.2991/978-94-6463-980-3_32
ID  - Du2025
ER  -