Knowledge management and innovation: evidence of international joint venture

Yung-Chang Hsiao () and Jun-You Lin ()
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Yung-Chang Hsiao: National University of Tainan
Jun-You Lin: National Open University

Scientometrics, 2023, vol. 128, issue 1, No 4, 87-113

Abstract: Abstract In today’s business environment with its fast-growing communication and information technologies, knowledge management (KM) capabilities are a valuable source of innovation. However, little is known about the KM capabilities that lead to international joint venture (JV) innovation and whether their effect depends upon the diversity of JV knowledge. We examine the impact of dependence on internal knowledge, knowledge proliferation and knowledge development control on JV innovation and how these effects are moderated by the diversity of JV knowledge. Negative binomial regression was used to test the hypotheses in a panel data of 366 international joint ventures. The findings support our prediction that knowledge proliferation and the control of knowledge development both stimulate JV innovation. This relationship is stronger in firms with a high degree of JV knowledge diversity. The results of this study can reconcile contradictory findings from previous studies by demonstrating the potential impact of KM capabilities on JV innovation.

Keywords: Knowledge management; JV knowledge diversity; JV innovation activities (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11192-022-04562-9

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