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Collaborative Effectiveness Evaluation Model Between Different Business Segments Under Closed-Loop Management System of Large Power Grid Enterprises

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

Listed:
  • Song Xue

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

  • Xiaodong Li

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

  • Rui Li

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

  • Xiaofeng Zhang

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

  • Pengwei Cong

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

Abstract

Business types of large power grid enterprises are diversified. Strengthening the coordination of different types of business is of great significance to reduce operating costs, improve business quality and efficiency. It is an important part of the closed-loop management system to build a collaborative effectiveness evaluation model between businesses in different sectors. This paper studies the business collaboration mode between different sectors of large power grid enterprises, constructs a collaborative effectiveness evaluation index system covering strategic planning collaboration, factor resource collaboration and marketing development collaboration, and determines the index weight at all levels based on the key success factor analysis method. Through case analysis, the scientificity and practicability of the model are verified. It is found that the synergy effect of power grid business on financial business, international business, supporting industry and strategic emerging industry is significantly better than that of four types of non power grid business.

Suggested Citation

  • Song Xue & Xiaodong Li & Rui Li & Xiaofeng Zhang & Pengwei Cong, 2024. "Collaborative Effectiveness Evaluation Model Between Different Business Segments Under Closed-Loop Management System of Large Power Grid Enterprises," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 38-46, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-256-9_5
    DOI: 10.2991/978-94-6463-256-9_5
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