How does multidimensional interaction of knowledge transfer affect digital innovation capability?

Zhen Che, Changqi Wu, Weishi Qu and Naichuan Zhang

Knowledge Management Research & Practice, 2025, vol. 23, issue 1, 13-25

Abstract: This study establishes the link between multi-dimensional interaction of knowledge transfer paths and digital innovation capability from both macro−global (native, cross−border) and micro−knowledge type (auxiliary and complementary) perspectives. Using the data of Chinese firms, we find that the matching of the “supply” of native knowledge network and auxiliary knowledge “demand” is more conducive to the improvement of digital innovation capability than matching of the “demand” of complementary knowledge. The matching of the “supply” of cross−border knowledge network and the “demand” of complementary knowledge are more conducive to the improvement of digital innovation capability than matching with the “demand” of auxiliary knowledge. Digital environment scanning capability and knowledge flow coupling moderates the relationship between complementary and auxiliary knowledge transfer and digital innovation capability. Our findings have important implications for the construction of digital innovation network systems.

Date: 2025
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DOI: 10.1080/14778238.2023.2261892

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