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在网络多样性与子群相关研究基础上,将分裂断层理论引入技术创新网络,从身份、地理和知识三个多样性属性分析分裂断层在技术创新网络中的具体表现。利用2000年至2013年我国电子信息产业联合申请专利为样本构建组织间技术创新网络,运用多元分层回归方法实证检验分裂断层、成员异质性与位置嵌入性对子群结构的共同影响。研究结果表明:由多个不同成员构成的技术创新网络,节点属性聚合能产生潜在的分裂断层,但分裂断层对子群极化的直接影响并不显著;然而,在控制成员异质性或位置嵌入性的共同效应后,分裂断层的直接作用变得显著,并且当成员异质性程度适中时,分裂断层对子群极化的影响比成员异质性很低或很高时更强;此外,当位置嵌入离散性程度较高时,分裂断层对子群极化的作用显著提升。研究结论为理解技术创新网络结构变化的微观过程提供了新的理论视角,也对探索网络子群形成和发展的内在机理具有指导意义。
Based on the research of network diversity and subgroups, the splitting fault theory was introduced into the technological innovation network, and the concrete performance of splitting faults in the technological innovation network was analyzed from the three diversity attributes of identity, geography and knowledge. Using the joint patent application for electronic information industry in China from 2000 to 2013 as a sample to build an inter-organizational technology innovation network, a multi-level hierarchical regression method was used to empirically test the combined effects of splitting faults, member heterogeneity, and positional embedding on subgroup structure. The results of the research show that a network of technological innovations consisting of multiple different members can generate potential splitting faults, but the direct effect of splitting faults on the polarization of subgroups is not significant; however, the control of heterogeneity or position of members After the joint effects of intercalation, the direct effect of splitting faults becomes significant, and when the degree of heterogeneity of the members is moderate, the effect of the splitting faults on the subgroup polarization is stronger than when the heterogeneity of the members is very low or very high; When the position is embedded with a high degree of dispersion, the effect of the splitting fault on the polarization of the subgroup significantly increases. The research conclusions provide a new theoretical perspective for understanding the micro-process of technological innovation network structure change, and it also has guiding significance for exploring the internal mechanism of network subgroup formation and development.