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Study on the Identification and Evaluation of Digital Business Models of State-Owned Power Company

In: Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024)

Author

Listed:
  • Dongfang Zhang

    (State Grid Energy Research Institute Co., Ltd.)

  • Penghui Liu

    (State Grid Hebei Sercice Center)

  • Yang Yang

    (State Grid Hebei Sercice Center)

  • Mengyuan Qi

    (State Grid Shijiazhuang Electric Power Supply Company)

  • Xiaole Lin

    (State Grid Shijiazhuang Electric Power Supply Company)

  • Yibin Yu

    (State Grid Shijiazhuang Electric Power Supply Company)

  • Xiaoyu Fan

    (State Grid Hebei Training Center)

Abstract

This study takes a state-owned energy enterprise as an example to calculate the business model, and explains the detailed calculation process of applying the business model identification and evaluation model by using STATA. Based on the constructed evaluation index system for business model identification and selection, this study adopts the improved hierarchical analysis method and the comprehensive evaluation method based on gray system whitening weight function to establish the evaluation model, which can realize the comprehensive evaluation of new business models. In this study, from the business models in the three major fields of energy industry service, energy consumption service and asset operation of future grid enterprises, four business models such as big data service of electric power equipment are selected as research objects, and each business model is evaluated. The results suggests that the integrated energy service and PV cloud should be prioritized.

Suggested Citation

  • Dongfang Zhang & Penghui Liu & Yang Yang & Mengyuan Qi & Xiaole Lin & Yibin Yu & Xiaoyu Fan, 2025. "Study on the Identification and Evaluation of Digital Business Models of State-Owned Power Company," Advances in Economics, Business and Management Research, in: Manhui Huang & Vilas B. Gaikar & Md Rabiul Islam & Ivan Krumov Todorov (ed.), Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024), pages 212-220, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-676-5_22
    DOI: 10.2991/978-94-6463-676-5_22
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