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Research on the Patent Innovation Performance of University–Industry Collaboration Based on Complex Network Analysis

ABSTRACT Purpose: In order to explore the multiplicative interaction between clustering and reach, as well as their effect on members’ knowledge production and patent value, the authors researched university–industry collaboration networks in the emerging interdisciplinary field at a corporate level. Methodology: The authors based their research on a platform of nano-biopharmaceuticals complex network analysis. Furthermore, they built a network to analyze the influence of small-world properties, as well as the impact of the largest component on the patent value of innovation activities at a corporate level. In this article, the authors conduct an empirical investigation of university–industry patent innovation collaboration in the nano-biopharmaceutical field and propose that their research be considered as new evidence in addition to the previously published literature in this field. Given the pre-existing high skew of patent values in relation to registered patents, they used weighted patent value in the measurement of university–industry innovation performance, rather than simple patent counts. Results: The results show that small-world structures have a parabolical influence on patent innovation performance at corporate level. Findings: The findings go beyond previous research results and can contribute to policy formulation and relevant entrepreneurial decisions in the establishment of university–industry collaboration.