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

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Authors:
  • Wang, Yuandi ;
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    DTU Executive School of Business, Technical University of Denmark
  • Zhou, Zhao ;
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    Leiden University
  • Li-Ying, Jason
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    Orcid logo0000-0002-6923-5583
    DTU Executive School of Business, Technical University of Denmark
DOI:
10.1007/s10961-012-9260-0
Abstract:
In this article, we provide a compelling case for demonstrating ‘‘learning-bylicensing,’’ 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.
Type:
Journal article
Language:
English
Published in:
Journal of Technology Transfer, 2013, Vol 38, Issue 5, p. 699-715
Keywords:
Technology licensing; Knowledge attributes; Technological learning; Innovation performance; China
Main Research Area:
Science/technology
Publication Status:
Published
Review type:
Peer Review
Submission year:
2012
Scientific Level:
Scientific
ID:
245123324

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