The impact of university–industry collaboration networks on innovation in nanobiopharmaceuticals
Jiancheng Guan and
Qingjun Zhao
Technological Forecasting and Social Change, 2013, vol. 80, issue 7, 1271-1286
Abstract:
This paper investigates the effects of multiplicative interaction between clustering and reach on members' knowledge creation and patent value based on complex network analysis in nanobiopharmaceuticals field. In order to avoid the high skew of patent value among patents, we use the weighted patent value as a proxy index of the invention's innovation performance rather than simple patent counts. The university–industry collaboration networks in the emerging and rapidly evolving interdisciplinary field are examined at firm-level. We further detect the impact of small world properties as well as the size of largest component on patent value and find that small-world structure has parabolical effect on patent value at firm-level. We add new evidence to the literature on this topic with an empirical investigation for the university–industry patent collaboration in the nanobiopharmaceutical field. The findings broaden and enrich the existing literature and can contribute to policy makers and relevant managers when making decisions for university and firm locality as well as the choices of the collaborators.
Keywords: Nanobiopharmaceuticals; University–industry collaboration; S-curve models; Small world networks (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (41)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:80:y:2013:i:7:p:1271-1286
DOI: 10.1016/j.techfore.2012.11.013
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