Research Article
Evaluation Model of Compliance Management of Power Grid Enterprises Based on the Experience of Typical Enterprises
@INPROCEEDINGS{10.4108/eai.9-12-2022.2327685, author={Kaixin Feng and Lichun Tian and Peipei You and Meifeng Ke and Huiru Zhao and Qun Su}, title={Evaluation Model of Compliance Management of Power Grid Enterprises Based on the Experience of Typical Enterprises}, proceedings={Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={MSIEID}, year={2023}, month={3}, keywords={enterprise management; performance evaluation; evaluation model; bayesian best-worst method; matter-element expansion method}, doi={10.4108/eai.9-12-2022.2327685} }- Kaixin Feng
Lichun Tian
Peipei You
Meifeng Ke
Huiru Zhao
Qun Su
Year: 2023
Evaluation Model of Compliance Management of Power Grid Enterprises Based on the Experience of Typical Enterprises
MSIEID
EAI
DOI: 10.4108/eai.9-12-2022.2327685
Abstract
The compliance issue of electric power companies is the focus of supervision of various countries' regulatory agencies. This article first puts forward a compliance evaluation index system for power companies based on the compliance practices of typical companies. Secondly, based on the Bayesian best-worst and matter-element extension method, the power enterprise compliance evaluation model is constructed. Finally, an empirical analysis is carried out by taking a certain provincial power grid company as an example. The empirical results show that the company's compliance management is at a medium level, and it is particularly necessary to improve the implementation of the compliance plans.
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