Proceedings of the 4th International Conference on Informatization Economic Development and Management, IEDM 2024, February 23–25, 2024, Kuala Lumpur, Malaysia

Research Article

Digital Ecology Assessment Index System of Small and Medium-Sized Manufacturing Industry: A Case Study Employing Entropy Weight Method

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  • @INPROCEEDINGS{10.4108/eai.23-2-2024.2345937,
        author={Weihui  Mao and Qingze  Yu and Qian  Liu and Yiying  Hu},
        title={Digital Ecology Assessment Index System of Small and Medium-Sized Manufacturing Industry: A Case Study Employing Entropy Weight Method},
        proceedings={Proceedings of the 4th International Conference on Informatization Economic Development and Management, IEDM 2024, February 23--25, 2024, Kuala Lumpur, Malaysia},
        publisher={EAI},
        proceedings_a={IEDM},
        year={2024},
        month={5},
        keywords={digital ecosystem; digital ecology; digital ecology assessment; digital ecology assessment index system; small and medium-sized manufacturing industry},
        doi={10.4108/eai.23-2-2024.2345937}
    }
    
  • Weihui Mao
    Qingze Yu
    Qian Liu
    Yiying Hu
    Year: 2024
    Digital Ecology Assessment Index System of Small and Medium-Sized Manufacturing Industry: A Case Study Employing Entropy Weight Method
    IEDM
    EAI
    DOI: 10.4108/eai.23-2-2024.2345937
Weihui Mao1, Qingze Yu1,*, Qian Liu2, Yiying Hu1
  • 1: Guangdong College of Science and Technology
  • 2: Guangdong Medical University
*Contact email: king0755yu@foxmail.com

Abstract

The China government’s 14th Five-Year Plan and the 2035 Vision set forth important plans for “Accelerating digital development” and “Creating a sound digital ecology”. However, little is known about how such a digital ecology is developed and how the small and medium-sized (SMs) manufacturing enterprise could assess it. From social-technology and business perspectives, this paper first explores influential factors of such a digital ecology, followed by constructing a theoretical framework of digital ecology assessment index system for SMs manufacturing industry, then developing the practical framework of primary digital ecology assessment index system. A case study is conducted to verify the index system employing the entropy weight method for weights calculation of the indicators with sources from fifteen experts’ rating, and expert opinion method used to gain wights for the second-level indicator and measurement indicator indexes as well.