Accessibility navigation

Genetic distance, international experience and the performance of cross-border R&D for EMNEs

Xu, C., Xiong, Y., Sun, Y. and Liu, Y. (2021) Genetic distance, international experience and the performance of cross-border R&D for EMNEs. Journal of International Management, 27 (2). 100853. ISSN 10754253

Text - Accepted Version
· Available under License Creative Commons Attribution Non-commercial No Derivatives.
· Please see our End User Agreement before downloading.


It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1016/j.intman.2021.100853


Cross-border R&D can contribute to the enhancement of independent innovation capabilities of emerging markets multinational enterprises (EMNEs) by benefiting from knowledge management. However, scant research exists examining the location impact of cross-border R&D for EMNEs on performance implications. This paper fills this important theoretical gap by building upon the literature of genetic distance in connection with knowledge management. We use a panel data of Chinese high-tech listed companies to empirically examine the impact of genetic distance on the performance of cross-border R&D and the role played by international experience. Our results reveal a positive relationship between genetic distance and the performance of cross-border R&D. Importantly, we highlight the motivation for cross-border R&D of EMNEs to acquire technical knowledge magnifies the positive effects of genetic distance and performance. Furthermore, our analysis indicates that international experience significantly enhanced the positive effect of genetic distance on cross-border R&D performance. We conclude this paper by discussing theoretical contributions to genetic distance, international management and knowledge management, as well as practical implications for cross-border R&D of EMNEs.

Item Type:Article
Divisions:Henley Business School > Leadership, Organisations and Behaviour
ID Code:97629


Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation