Network Structures And Performance Of University-Industry Collaborative Innovation

The complexity of product innovation requires enterprises to fully integrate their internal and external resources to obtain long-term competitive advantages.Cooperative innovation can achieve inter organizational resource sharing,improve R&D efficiency and success rate.The University-Industry Collaboration(UIC)regarded as research background,and I analyze the network structure evolution of UIC,with studying the relationship among the network heterogeneity,spatial heterogeneity and UIC innovation performance.First,about data process,I use the web crawler to collect data from the United States Patent and Trademark Office,and then clean data to get the original data set which includes UIC patent information.Through companies and universities names from the original data set,I file the UIC network data set.Meanwhile,capturing the coordinates of companies and universities to form the geographical data set.Second,as for UIC network evolution characteristics,I define the UIC network structure which contains network heterogeneity and spatial heterogeneity,and the network analysis includes clustering coefficient,structural holes,centralities,geographical distribution,etc.The study finds more and more companies and universities participated in cooperative innovation activities and maintained a good relationship among the UIC network evolution process.From the spatial angle,the focus of UIC innovation was shifting gradually.Thirdly,I observe the relationship between network heterogeneity and UIC innovation performance.The number of UIC patent applications as dependent variable,clustering coefficient,structural holes and centralities as independent variables,and I establish negative binomial model to analysis.The results show that clustering coefficient has a negative effect,structural holes and betweenness centrality have a positive effect.And eigenvector centrality has an invert U relationship with UIC performance.Finally,in terms of spatial heterogeneity in connection with UIC innovation performance,I regard the number of UIC patent citations as dependent variable,same work time and UIC environment of corporative organizations,prior ties and team size as independent variables,and establish negative binomial model to analysis.The results show that same work time has an invert U relationship with UIC performance.The divergence of UIC environment has a negative effect,and the more divergence,the more negation.Prior ties and team size both have a positive effect on UIC performance.