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Research on Factor Identification, Configuration and Breakthrough Path of High Incubation Performance of Science and Technology Business Incubators:Multi-Factor Configuration Analysis Based on fsQCA |
Zhao Fuqiang1,Hu Siyuan2,Liu Qin2,Chen Yun1,Hu Wei1 |
(1.School of Management, Wuhan University of Technology, Wuhan 430070,China; 2.School of Entrepreneurship, Wuhan University of Technology, Wuhan 430070,China) |
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Abstract The sudden outbreak of COVID-19, frequent trade sanctions and anti-globalization have made the external environment increasingly unstable, which makes the survival and development of technology business incubators worse. How to transform, upgrade and breakthrough in the post-epidemic era has become an urgent problem to be solved by academics and industry. Based on this, this study aims to identify the key factors, explore the configuration of high incubation performance of technology business incubators through data mining and QCA analysis, and put forward the path choice for the breakthrough development of science and technology business incubators in the post-epidemic era. It is found the follows. Firstly, the incubation performance of technology business incubators is influenced by external factors such as policy inclination, technology innovation and business incubator scale, and internal factors such as capital, talent, technical and relationship service. Secondly, there are four configurations of the influencing factors of high incubation performance of science and technology enterprises, that is, resource-driven, industry-driven, technological innovation-driven and all-round driven. Finally, in the post-epidemic era of technology business incubators in different internal and external situations, it can be transformed and upgraded into resource-driven, technology-driven, industry-driven, or all-round driven incubator.
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Received: 06 January 2021
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