Evaluation System Construction and Empirical Study on Digital Literacy of Skilled Talents in Power Enterprises under AI Digital Transformation

DOI

10.2991/978-94-6239-774-3_30How to use a DOI?

Keywords

AI Digital Transformation; Power Enterprise; Skilled Talents; Digital Literacy; Delphi Method; AHP-Entropy Combined Weighting; Improved TOPSIS

Abstract

Artificial Intelligence (AI) digital transformation puts forward higher requirements for digital literacy of skilled talents in power enterprises. Aiming at the defects of imperfect indicator framework and excessive subjectivity in existing evaluation works, this paper adopts two-round Delphi method, Analytic Hierarchy Process (AHP)-entropy and distance formula-improved Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm to establish a quantitative evaluation system. Different from the traditional Euclidean distance calculation which ignores the internal correlation between evaluation indicators, this study introduces Manhattan-Euclidean hybrid distance to optimize the distance measurement process, which effectively solves the problem of ranking failure caused by close proximity values of multiple evaluation samples in traditional TOPSIS. Based on 30 talent groups covering 9 job positions, empirical results indicate that digital tool application and data processing capabilities are the main restricting factors. Relevant improvement measures are proposed to support talent cultivation and digital transformation of power enterprises.

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  - Weixuan Meng
AU  - Linyu Wang
AU  - Xuesong Wang
AU  - Dan Wang
PY  - 2026
DA  - 2026/09/11
TI  - Evaluation System Construction and Empirical Study on Digital Literacy of Skilled Talents in Power Enterprises under AI Digital Transformation
BT  - Proceedings of the 2026 5th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2026
PB  - Atlantis Press
SP  - 325
EP  - 332
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-774-3_30
DO  - 10.2991/978-94-6239-774-3_30
ID  - Meng2026
ER  -