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

Ye Zhu, Jinchao Li (), Xinyi Lan, Shiqiang Lu and Jie Yu
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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
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

Energies, 2022, vol. 15, issue 15, 1-18

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.

Keywords: weight sensitivity; digital project; indicator system; indicator screening; cloud model; evaluation method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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