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Research on Evaluation Method of Digital Project Cloud Model Considering Weight Sensitivity

Author

Listed:
  • Ye Zhu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Jinchao Li

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China)

  • Xinyi Lan

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Shiqiang Lu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Jie Yu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

Abstract

Digitization is a driving force for social development and corporate innovation. Digital projects have become an indispensable part of the sustainable development of enterprises. However, due to the imperfect decision-making system of digital projects and the lack of experience of traditional enterprises’ digital projects, the decision-making of digital projects is an unavoidable challenge in the digital transformation of enterprises. For the digital project decision of the STATE GRID Corporation of China, this paper conducts a sensitivity analysis of digital project evaluation index weights based on cloud model theory, on top of historical successful project experience to support digital project decision-making. Firstly, this paper establishes a comprehensive evaluation index system for digitalization projects from five aspects: economic efficiency, interconnection, intelligent management, value release, and development innovation. The coefficient of variation method is used for index screening, and the weight intervals are formed by four subjective and objective assignment methods. Then, the LSOM model is established to generate the weight values in the interval, and, finally, the sensitivity of digital project comprehensive evaluation indexes is analyzed based on the cloud model to select the most robust index weights for project evaluation and choose the optimal project. The feasibility of the proposed method is verified by arithmetic examples.

Suggested Citation

  • Ye Zhu & Jinchao Li & Xinyi Lan & Shiqiang Lu & Jie Yu, 2022. "Research on Evaluation Method of Digital Project Cloud Model Considering Weight Sensitivity," Energies, MDPI, vol. 15(15), pages 1-18, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5738-:d:882544
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    References listed on IDEAS

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    1. Iivari, Netta & Sharma, Sumita & Ventä-Olkkonen, Leena, 2020. "Digital transformation of everyday life – How COVID-19 pandemic transformed the basic education of the young generation and why information management research should care?," International Journal of Information Management, Elsevier, vol. 55(C).
    2. Jian-qiang Wang & Juan-juan Peng & Hong-yu Zhang & Tao Liu & Xiao-hong Chen, 2015. "An Uncertain Linguistic Multi-criteria Group Decision-Making Method Based on a Cloud Model," Group Decision and Negotiation, Springer, vol. 24(1), pages 171-192, January.
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    Cited by:

    1. Ulvi Rzazade & Sergey Deryabin & Igor Temkin & Egor Kondratev & Alexander Ivannikov, 2023. "On the Issue of the Creation and Functioning of Energy Efficiency Management Systems for Technological Processes of Mining Enterprises," Energies, MDPI, vol. 16(13), pages 1-21, June.

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