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Research on sustainable evolution of China's cloud manufacturing policies

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  • Wang, Jing

Abstract

The emergence and development of China's cloud manufacturing benefit from the national government's policies drive. The measurement and analysis based on the policy text will help clarify the evolution mechanism of cloud manufacturing and provide guidance and suggestions for the landing and application of cloud manufacturing. By collecting and sorting out China's cloud manufacturing policies from 2010 to 2020, using social network analysis, content analysis and other methods, Ucinet, ROST and other software, the sustainable evolution law of China's cloud manufacturing policies from the perspectives of policy issuing departments, policy focus topics and policy tools is explored. The research shows that the State Council of the People's Republic of China and Ministry of Industry and Information Technology of the People's Republic of China are the core departments of policy issuing, and the topics of policies concerned mainly cover four aspects: “cloud manufacturing development goals, cloud manufacturing object-oriented, cloud manufacturing operation links and cloud manufacturing foundation”, and various policy tools are comprehensively used in various policies. The evolution of cloud manufacturing policies presents obvious stage characteristics, which mainly goes through three stages: “encouraging development-top-level design-implementation guidance”. China's cloud manufacturing industry is still in the development stage, and it is urgent to introduce policies that directly affect the industry. The government should continue to improve the policy system by strengthening the joint publication of departments and improving the structural imbalance of policy tools.

Suggested Citation

  • Wang, Jing, 2021. "Research on sustainable evolution of China's cloud manufacturing policies," Technology in Society, Elsevier, vol. 66(C).
    • Handle: RePEc:eee:teinso:v:66:y:2021:i:c:s0160791x21001147
    DOI: 10.1016/j.techsoc.2021.101639
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    1. Di Liang & Jieyi Wang & Ran Bhamra & Liezhao Lu & Yuting Li, 2022. "A Multi-Service Composition Model for Tasks in Cloud Manufacturing Based on VS–ABC Algorithm," Mathematics, MDPI, vol. 10(21), pages 1-24, October.
    2. Tinggui Chen & Chenhao Tong & Yuhan Bai & Jianjun Yang & Guodong Cong & Tianluo Cong, 2022. "Analysis of the Public Opinion Evolution on the Normative Policies for the Live Streaming E-Commerce Industry Based on Online Comment Mining under COVID-19 Epidemic in China," Mathematics, MDPI, vol. 10(18), pages 1-27, September.

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