Research Article
Risk Assessment of Regulatory Business Under New Regulatory Relationship: A Case Study of Power Grid Enterprises
@INPROCEEDINGS{10.4108/eai.9-12-2022.2327713, author={Pengchao Wu and Shiyuan Lin and Yingjin Ye and Zhao Xu and Yihang Zhao and Huiru Zhao}, title={Risk Assessment of Regulatory Business Under New Regulatory Relationship: A Case Study of Power Grid 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={risk assessment; regulatory business; bayseian best-worst method; matter-element extension method}, doi={10.4108/eai.9-12-2022.2327713} }- Pengchao Wu
Shiyuan Lin
Yingjin Ye
Zhao Xu
Yihang Zhao
Huiru Zhao
Year: 2023
Risk Assessment of Regulatory Business Under New Regulatory Relationship: A Case Study of Power Grid Enterprises
MSIEID
EAI
DOI: 10.4108/eai.9-12-2022.2327713
Abstract
As the power system reforms continue to deepen, the power grid enterprises (PGEs) are facing new regulatory relationships, followed by more and more regulatory risks (RRs) under the new situation. In this context, studying the regulatory risks faced by the regulatory business can help PGEs correctly recognize the internal and external risks and put forward countermeasures. A comprehensive RRs evaluation model for the PGEs is conducted in this paper based on the Bayesian best-worst method and matter-element extension model. Based on the risk assessment results, power grid enterprises can identify the key risk points. Meanwhile, power grid enterprises can strengthen their internal control, propose risk management measures, and further enhance the awareness and ability of risk prevention in the business operation.