R&D activities and innovation performance of MNE subsidiaries: The moderating effects of government support and entry mode

Tse, Caleb, Yim, Chi Kim Bennett, Yin, Eden, Wan, Feng and Jiao, Hao (2021) R&D activities and innovation performance of MNE subsidiaries: The moderating effects of government support and entry mode. Technological Forecasting and Social Change, 166. ISSN 0040-1625

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Abstract

In the past few decades, the extant literature has examined the impact of R&D internationalization on innovation performance at the individual team member, team or project, subsidiary, and organizational levels. Despite this progress, however, research on conditional and contextual variables that may underpin the relationships between R&D internationalization and firm innovation performance at the subsidiary level remains scarce, and this area deserves further investigation. Using a large, unique dataset containing 524 foreign firms (216 wholly-owned subsidiaries (WOSs) and 308 international joint ventures (IJVs) with R&D subsidiaries in China), we show that: (a) local government support positively moderates the effect of foreign firms’ local R&D investment on their local subsidiaries’ innovation performance in China; (b) this relationship is stronger for IJVs than for WOSs; and (c) local government support appears to have a stronger moderating effect for IJVs than for WOSs on this relationship. Our study contributes to the growing literature on foreign firms’ internationalization of R&D, emerging market innovations and organizational entry modes.

Item Type: Article
Uncontrolled Keywords: sdg 9 - industry, innovation, and infrastructure ,/dk/atira/pure/sustainabledevelopmentgoals/industry_innovation_and_infrastructure
Faculty \ School: Faculty of Social Sciences > Norwich Business School
UEA Research Groups: Faculty of Social Sciences > Research Groups > Strategy and Entrepreneurship
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Depositing User: LivePure Connector
Date Deposited: 29 Jan 2021 01:02
Last Modified: 18 Aug 2023 05:32
URI: https://ueaeprints.uea.ac.uk/id/eprint/78317
DOI: 10.1016/j.techfore.2021.120603

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