Construction and Empirical Measurement of Special Performance Appraisal Index System for Staff Transfer Training Effect in Power Supply Enterprises
- DOI
- 10.2991/978-94-6239-825-2_8How to use a DOI?
- Keywords
- Power Supply Enterprise; Staff Transfer Training; Performance Appraisal Index; Delphi-AHP-Entropy Combined Weight; Improved TOPSIS; Fuzzy Comprehensive Evaluation
- Abstract
Traditional transfer training evaluation in power enterprises suffers from single dimension and subjective weighting. This paper adopts two-round Delphi to screen indicators, builds a five-dimensional appraisal system with 17 sub-indexes, and constructs an AHP-entropy combined weighting model. Improved TOPSIS and fuzzy comprehensive evaluation are combined to quantify training performance and classify effect grades. Empirical analysis on 12 grassroots teams shows post transfer practice is the core constraint; only 16.7% teams achieve high coordination, while nearly 60% have unbalanced training links. The proposed hybrid model improves evaluation accuracy by 14.3%, supporting differentiated precise training management for power supply 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.
Cite this article
TY - CONF AU - Weixuan Meng PY - 2026 DA - 2026/11/10 TI - Construction and Empirical Measurement of Special Performance Appraisal Index System for Staff Transfer Training Effect in Power Supply Enterprises BT - Proceedings of the 2026 5th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2026) PB - Atlantis Press SP - 79 EP - 85 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-825-2_8 DO - 10.2991/978-94-6239-825-2_8 ID - Meng2026 ER -