The impact of licensed-knowledge attributes on the innovation performance of licensee firms: evidence from the Chinese electronic industry

Yuandi Wang, Zhao Zhou () and Jason Li-Ying

The Journal of Technology Transfer, 2013, vol. 38, issue 5, 699-715

Abstract: In this article, we provide a compelling case for demonstrating “learning-by-licensing,” and we further investigate the moderating effect of specific licensed-knowledge attributes on the innovation performance of licensee firms. This case is based on a unique dataset from the China State of Intellectual Property Office regarding technology-licensing activities and spanning the years 2000–2010. Using this dataset we make a longitudinal analysis of the lagging learning effect that transferee firms experience when they in-license technology. The empirical results from 71 Chinese electronic-industry firms reconfirm the concept of “learning-by-licensing.” Moreover, the results also indicate that both technology complexity and technology generality, which are attributes of licensed knowledge, have positive moderating effects on the relationship between technology in-licensing and the subsequent innovation performance of licensee firms. However, such a positive moderating effect was not found for the newness of technology. Copyright The Author(s) 2013

Keywords: Technology licensing; Knowledge attributes; Technological learning; Innovation performance; China; L2; L24; L25 (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (19)

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DOI: 10.1007/s10961-012-9260-0

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