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

被引:40
|
作者
Wang, Yuandi [1 ,2 ]
Zhou, Zhao [3 ]
Li-Ying, Jason [2 ]
机构
[1] Sichuan Univ, Sch Business, Chengdu 610064, Sichuan, Peoples R China
[2] Tech Univ Denmark, DTU Execut Sch Business, DK-2800 Lyngby, Denmark
[3] Leiden Univ, Ctr Technol & Innovat Management, NL-2333 CA Leiden, Netherlands
来源
JOURNAL OF TECHNOLOGY TRANSFER | 2013年 / 38卷 / 05期
关键词
Technology licensing; Knowledge attributes; Technological learning; Innovation performance; China; TECHNOLOGY-TRANSFER; EXTERNAL SOURCES; DETERMINANTS; ACQUISITIONS; COOPERATION; COMPLEXITY; STRATEGIES; AMBIGUITY; COMPANIES; POLICY;
D O I
10.1007/s10961-012-9260-0
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:699 / 715
页数:17
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