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Issue title: Information Sciences and Data Transmission of Data
Guest editors: Juan Luis García Guirao
Article type: Research Article
Authors: Ye, Zheng | Shen, Qi Tai Song*;
Affiliations: School of Business, Center for Research of Corporate Social Responsibility and Sustainable Development, Zhejiang University City College, Hangzhou, China
Correspondence: [*] Corresponding author. Qi Tai Song Shen, School of Business, Center for Research of Corporate Social Responsibility and Sustainable Development, Zhejiang University City College, 310015, Hangzhou, China. E-mail: [email protected].
Abstract: The entrepreneurship of intelligent manufacturing enterprises in manufacturing clusters have significant influences on China’s economic growth in the process of industry 4.0. This paper reveals the entrepreneurship of intelligent manufacturing enterprises by the analysis of network theory. By the questionnaire of 470 effective sample enterprises in the 6 manufacturing industrial clusters selected, Structural Equation Modeling and the AMOS software are used to verify the theoretical hypotheses. The findings are as follows: first, entrepreneurial competence has a positive effect on corporate entrepreneurship; second, network relation, betweenness centrality and network scale have positive effect on entrepreneurial competence; third, network relationship strength and network density have different effects on entrepreneurial competence. Based on the results of empirical analysis, this paper puts forward some policy suggestions to promote enterprise entrepreneurship in industrial clusters.
Keywords: Network characteristics, corporate entrepreneurship, entrepreneurial competence, SMEs, structural equation modeling
DOI: 10.3233/JIFS-179850
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7803-7811, 2020
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