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Title: The impact of innovative management models on the improvement of service efficiency of power supply stations in the context of digital transformation

Authors: Hui Wang; Ziheng Wang; Jiajia Xie; Wenwen Fang; Danfei Chen

Addresses: State Grid Zhejiang Xinxing Technology Co., Ltd., Hangzhou, 310051, Zhejiang, China ' State Grid Zhejiang Xinxing Technology Co., Ltd., Hangzhou, 310051, Zhejiang, China ' State Grid Zhejiang Xinxing Technology Co., Ltd., Hangzhou, 310051, Zhejiang, China ' State Grid Zhejiang Xinxing Technology Co., Ltd., Hangzhou, 310051, Zhejiang, China ' State Grid Zhejiang Xinxing Technology Co., Ltd., Hangzhou, 310051, Zhejiang, China

Abstract: In order to improve the service quality, efficiency, and user satisfaction of power supply stations, this study investigates the impact of innovative management models on the improvement of service efficiency of power supply stations in the context of digital transformation. Firstly, analyse the limitations of the development of service efficiency in power supply stations under traditional management models. Secondly, analyse the opportunities and challenges faced by the service efficiency development of power supply stations in the context of digital transformation. Finally, analyse the impact of innovative management models on the improvement of service efficiency in power supply stations from five aspects: improving service efficiency, optimising resource allocation, personalised services, improving power supply reliability, and optimising service experience. Through case analysis, it can be seen that innovative management models can effectively improve the service efficiency, reliability, and user satisfaction of power supply stations.

Keywords: digital transformation; innovative management mode; service efficiency; opportunities and challenges; data-driven decision-making.

DOI: 10.1504/IJSD.2024.140000

International Journal of Sustainable Development, 2024 Vol.27 No.3, pp.231 - 245

Received: 18 Aug 2023
Accepted: 11 Dec 2023

Published online: 15 Jul 2024 *

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