文献类型：期刊文献

英文题名：Integrative effects among innovation network elements on innovation performance based on QCA

作者：Tao, Qiuyan[1];Li, Rui[2,3];Wang, Yonggui[2]

第一作者：陶秋燕

通讯作者：Li, R[1];Li, R[2]

机构：[1]Beijing Union Univ, Sch Management, Beijing, Peoples R China;[2]Univ Int Business & Econ, Sch Business, Beijing, Peoples R China;[3]Harbin Univ, Dept Business English, Harbin, Peoples R China

第一机构：北京联合大学管理学院

通讯机构：[1]corresponding author), Univ Int Business & Econ, Sch Business, Beijing, Peoples R China;[2]corresponding author), Harbin Univ, Dept Business English, Harbin, Peoples R China.

年份：2016

卷号：22

期号：3-5

起止页码：301-312

外文期刊名：INTERNATIONAL JOURNAL OF SERVICES TECHNOLOGY AND MANAGEMENT

收录：EI(收录号：20163502761863);Scopus(收录号：2-s2.0-84983631403);WOS:【ESCI(收录号:WOS:000389080400012)】；

基金：The research work is supported by National Social Science Project 'Research on Innovation-driven Strategy and Innovation-Entrepreneurship' (2015YZD03), National Technology-supported Project 'Research and Application of College Students Innovation-Entrepreneurship Service System based on Mobile Internet' (2015BAH15F01), and Innovation Plan of Beijing Municipal Education Commission 'Research on the Networked Growth Mechanism of High-tech Small Enterprises' (TJSHS201311417006).

语种：英文

外文关键词：network elements; qualitative comparative analysis; QCA; innovation performance

摘要：Innovation network becomes a main driver of innovation performance, which has aroused consistent attention in the academic world. However, nearly all the related literatures focus on the effect of a separate network element on innovation. We propose a new and integrative framework, which posits that innovation performance is not driven by a separate network element, instead by concrete configuration of such elements. We investigate the framework in the context of small-medium enterprises (SMEs) in high-tech industry of China, employing a qualitative comparative analysis that is new to innovation network research and appropriate for configuration analysis. The result confirms that separate network elements have complex trade-off effects and that concrete composition of attributes function as sufficient conditions for innovation performance. Our findings contribute to managerial practice by providing new sights for scientific utilisation and integration of network elements.