Evaluation of enterprise innovative capability based on cohesive behaviors in inter-firm innovation network

Abstract

Abstract: Studies on innovation network mainly focus on the whole network or the firms' individual network, there are few studies on the influence of network subgroups formed by the cohesive behaviors on enterprise innovation capability. The inter-firm innovation networks of 11 high-tech industries in China are built based on alliances data and clique percolation algorithm and negative binomial regression model are applied to study the impact of the enterprise's cohesive behaviors on the innovation capacity of high-tech enterprises. It is found that for firms in small or simple subgroups, internal link density of subgroups and the number of the links between subgroups affect the enterprise's innovative capability positively. But for firms in big or complex subgroups, these characteristics of subgroups have no promoting effect to firms. Meanwhile, the number of subgroups, indicating the frequency of firms' cohesive behaviors, affects the enterprise's innovative capability positively. By taking the subgroup structures at middle level of innovation network into consideration, the results are helpful to uncover the characters of cohesive behaviors in innovation network, enhance the comprehension of innovation network structures and provide references for evaluating and improving enterprise innovative capability of high-tech industries in China.

Key words: high-tech industry, innovation network, cohesive behavior, evaluation of innovative capability

CLC Number:

F273.1

Zhao Yan, Meng Qingshi. Evaluation of enterprise innovative capability based on cohesive behaviors in inter-firm innovation network[J]. Science Research Management, 2014, 35(7): 35-43.

References

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