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科技企业孵化器高孵化绩效因素识别、组态构型与突围路径——基于fsQCA的多因素组态分析
引用本文:赵富强,胡思源,刘勤,陈耘,胡伟.科技企业孵化器高孵化绩效因素识别、组态构型与突围路径——基于fsQCA的多因素组态分析[J].科技进步与对策,2021,38(18):8-17.
作者姓名:赵富强  胡思源  刘勤  陈耘  胡伟
作者单位:(1.武汉理工大学 管理学院; 2.武汉理工大学 创业学院,湖北 武汉 430070)
基金项目:国家社会科学基金项目(19BSH105);湖北省软科学技术创新专项项目(2017ADC129);武汉理工大学教研项目(w2019039)
摘    要:当前,疫情突发、制裁频发及逆全球化问题使外部环境日趋不稳定,科技企业孵化器生存发展面临诸多困难,其在后疫情时代应该如何转型升级,成为学界与业界亟待解决的问题。利用数据挖掘与QCA分析法,探究科技企业孵化器高孵化绩效的关键因素与组态构型,提出后疫情时代科技企业孵化器突围发展的路径选择。结果发现:①科技企业孵化器孵化绩效受政策倾斜、科技创新、孵化器规模等外部因素以及资金、人才、技术及关系服务等内部因素的共同影响;②科技企业高孵化绩效存在资源、产业、创新及综合驱动4种组态构型;③科技企业孵化器可转型为资源驱动型孵化器,又可发展为技术驱动型孵化器,也可优化为产业驱动型孵化器,还可升级为综合驱动型孵化器。

关 键 词:科技企业孵化器  孵化绩效  组态构型  突围路径  
收稿时间:2021-01-06

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 Fuqiang,Hu Siyuan,Liu Qin,Chen Yun,Hu Wei.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[J].Science & Technology Progress and Policy,2021,38(18):8-17.
Authors:Zhao Fuqiang  Hu Siyuan  Liu Qin  Chen Yun  Hu Wei
Institution:(1.School of Management, Wuhan University of Technology, Wuhan 430070,China; 2.School of Entrepreneurship, Wuhan University of Technology, Wuhan 430070,China)
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.
Keywords:Science and Technology Business Incubator  Incubation Performance  Configuration  Breakthrough Path  
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