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| Recognition and Analysis of Science-Technology-Industry Interaction Patterns of Disruptive Technologies |
| Xu Haiyun1, Wang Chao1, Chen Liang2, Xu Shuo3, Yang Guancan4, Zhu Lijun2 |
1.Business School, Shandong University of Technology, Zibo 255000
2.Institute of Scientific and Technical Information of China, Beijing 100038
3.School of Economics and Management, Beijing University of Technology, Beijing 100124
4.School of Information Resource Management, Renmin University of China, Beijing 100872 |
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Abstract Disruptive technology is a “from 0 to 1” technology innovation, which can have a disruptive effect on mainstream and existing industries, form a discontinuous innovation trajectory, and ultimately promote economic and social development to produce sudden progress. Exploring the science-technology-industry interaction model of disruptive technologies has guiding significance for exploring their inherent innovation mechanisms and identifying potential disruptive technologies. First, this study adopts well-recognized disruptive technologies as the research object, and selects progressive technologies in similar fields as comparison objects. The knowledge network structure is taken as the research perspective, and we construct a three-layer network of disruptive technologies: science, technology, and industry. Finally, the overall network attribute correlation and community similarity algorithm are used to realize the correlation measurement between knowledge subnets for the identification of science-technology-industry interaction mode. Empirical analysis reveals that disruptive and incremental technology have both commonalities and differences in the correlation and interaction mode of science, technology, and industry. Finally, we present the implications of interactive pattern recognition for disruptive technology identification methods and technology-industry management.
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Received: 08 August 2022
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