Evaluation of Employee Competence in Green Transition Enterprises Using a Multi-Criteria Decision-Making Approach

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Authors: Guanghai Yang, Jungang Luo, Hong Wei, Guomin Yuan, Jia Shigang
Cited by: 0

Abstract

Green transition is a must for organizational sustainable development, with employee competence being a key driver. Aiming at the problem of insufficient systematic evaluation of employee competence in existing green transformation research, this paper presents a four - dimension evaluation system (knowledge, skills, attitude, and ability) with ten sub – criteria. To evaluate employee competence in green transition enterprises, this paper proposes a competence evaluation method, based on probabilistic hesitant fuzzy sets (PHFS). The proposed method integrates SWARA and the exponential probabilistic hesitant fuzzy entropy for criteria weight quantification, balancing expert experience and data - driven approaches. It handles the uncertainty of evaluation through probabilistic hesitant fuzzy sets, and uses the CoCoSo method for comprehensive ranking, which enhances the scientific and operability of evaluation. To test the proposed method, it is applied to evaluate employee competence in a green manufacturing company and compared with Shapely - TODIM. The consistent ranking results from both methods confirm the scientific and practical applicability of the proposed method.

Fields of Study & Subjects

Multi-Criteria Decision Making Evaluation Methods in Various Fields AI and HR Technologies

Publication details

Journal / source
TEM Journal
Pages
223–223
Publication date
27 February 2026
Language
EN