Academic Journal of Engineering and Technology Science, 2020, 3(7); doi: 10.25236/AJETS.2020.030701.
Jiahui Wang
School of Management, Shanghai University, Shanghai 200444, China
Starting from the social network analysis method, based on the patent data of 42 double-first-class universities' industry-university-research institute joint applications, establish a production university research cooperation network and a university knowledge network. Analyze the factors affecting the performance of industry-university-research collaborative innovation, and at the same time determine the moderating role of knowledge networks in this process. The research results show that the performance of industry-university-research collaborative innovation is positively affected by the stability and expansion of the cooperation network; in the path of the dynamics of the industry-university cooperation network on the performance of industry-university collaborative innovation, the diversity of university knowledge plays a positive role in moderating.
cooperation network network, university knowledge network, industry-university collaborative innovation
Jiahui Wang. Research on Enterprise Innovation Performance. Academic Journal of Engineering and Technology Science (2020) Vol. 3 Issue 7: 1-10. https://doi.org/10.25236/AJETS.2020.030701.
[1] Guan J, Zhao Q. The impact of university-industry collaboration networks on innovation in nanobiopharmaceuticals, J. Technological Forecasting&Social Change. 80 (2013) 1271-1286.
[2] Demirkan, I, Deeds, D. L, Demirkan, S. Exploring the role of network characteristics, knowledgequality, and inertia on the evolution of scientific networks. J. Journal of Management. 39 (2013) 1462-1489.
[3] Guan J, Yan Y, Zhang J J. The impact of collaboration and knowledge networks on citations. J. Journal of Informetrics. 11 (2017) 407-422.
[4] Bouty, I. Interpersonal and interaction influences on informal resource exchanges between R&D researchers across organizational boundaries. J. Academy of Management Journal. 43 (2000) 50-65.
[5] Buchmann T, Pyka A. The evolution of innovation networks: The case of a German automotivenetwork. FZID discussion papers. 70 (2013).
[6] Gruber M, Hoisl K. Knowledge recombination across technological boundaries: scientists vs engineers. J. Management Science. 59 (2013) 837-851.
[7] Guan, J, Liu N. Measuring scientific research in emerging nano-energy field. J. Journal ofNanoparticle Research. 16(2014)2356.
[8] Wang C, Rodan S, Fruin M, et al. Knowledge networks, collaboration networks, and exploratory innovation. J. Academy of Management Journal. 57 (2014) 484-514.