Research on Differentiated Performance Evaluation System of Power Grid Frontline Teams Oriented to Full-Business Core Teams
- DOI
- 10.2991/978-94-6239-830-6_23How to use a DOI?
- Keywords
- Full-business core team; power grid frontline team; differentiated performance evaluation; two-round Delphi; AHP-entropy combined weighting; Mahalanobis improved TOPSIS
- Abstract
Traditional unified performance assessment fails to reflect the business differentiation of power grid full-business core teams. This paper adopts two-round Delphi to screen indicators and constructs a four-dimensional evaluation framework. AHP-entropy combined weighting based on minimum information deviation reduces single-weight bias. Mahalanobis-distance TOPSIS eliminates performance indicator multicollinearity. Nine types of municipal frontline teams are taken as samples for differentiated quantitative evaluation. Results show workload matching and talent reserve are major restricting factors. The model provides a fair quantitative tool for classified performance appraisal and incentive optimization of grassroots core teams.
- 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 AU - Zhe Wei PY - 2026 DA - 2026/11/14 TI - Research on Differentiated Performance Evaluation System of Power Grid Frontline Teams Oriented to Full-Business Core Teams BT - Proceedings of the 6th International Conference on Internet Finance and Digital Economy (ICIFDE 2026) PB - Atlantis Press SP - 286 EP - 293 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-830-6_23 DO - 10.2991/978-94-6239-830-6_23 ID - Meng2026 ER -