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FANG Jin-cheng, CHEN Ting-ting, LIU Zhu-kun, ZHU Bin. Vulnerability Analysis of Innovation Ecosystem of Intelligent Manufacturing Industry Based on Entropy-DEMATEL[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2023, 25(3): 92-100. DOI: 10.14071/j.1008-8105(2022)-3015
Citation: FANG Jin-cheng, CHEN Ting-ting, LIU Zhu-kun, ZHU Bin. Vulnerability Analysis of Innovation Ecosystem of Intelligent Manufacturing Industry Based on Entropy-DEMATEL[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2023, 25(3): 92-100. DOI: 10.14071/j.1008-8105(2022)-3015

Vulnerability Analysis of Innovation Ecosystem of Intelligent Manufacturing Industry Based on Entropy-DEMATEL

  • Purpose/Significance Intelligent manufacturing is the main direction of the high-quality development of China’s manufacturing industry. Studying the vulnerability of the innovation ecosystem of intelligent manufacturing industry helps to clarify the innovation barriers of China’s intelligent manufacturing industry and guide the formulation of effective strategies to improve the level of intelligent manufacturing innovation. Design/Methodology This paper studies the composition and vulnerability of the innovation ecosystem of intelligent manufacturing industry. Through the investigation of 30 intelligent manufacturing pilot demonstration enterprises in Fujian Province, Entropy-DEMATEL model is applied to identify the bottleneck factors that restrict the stable development of the system. Then, combined with the mechanism of bottleneck factors, the vulnerability of intelligent manufacturing industry innovation ecosystem was analyzed from four aspects: research community, development community, application community and innovation environment. Conclusion/Findings The results show that the bottleneck factors restricting the innovation ecosystem of China's intelligent manufacturing industry mainly include the weak research and development ability of intelligent manufacturing foundation, the lagging development of key core technologies of intelligent manufacturing, the weak intelligent development ability of product structure, and the lack of commercial industry funds and professional incubator support. Finally, from the establishment of intelligent manufacturing industry innovation consortium, promote key core technology breakthrough, pilot demonstration application as the starting point, constantly expand enterprise intelligent manufacturing application scenarios, strengthen policy support, increase financial support and other three aspects, put forward optimization countermeasures to promote the construction of intelligent manufacturing industry innovation ecosystem.
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