Unpacking the effects of R&D strategy proximity on inter-firm knowledge flow: evidence from the global 3D printing industry

Article

Xu, G., Kang, N., Hu, W., Islam, N. and Zhou, Y. 2024. Unpacking the effects of R&D strategy proximity on inter-firm knowledge flow: evidence from the global 3D printing industry. Technology Analysis & Strategic Management. In Press. https://doi.org/10.1080/09537325.2024.2358429
AuthorsXu, G., Kang, N., Hu, W., Islam, N. and Zhou, Y.
Abstract

The determinants of inter-organisational knowledge flow have shifted from bilateral and static factors to network and dynamic factors. Therefore, this paper aims to explore the impact mechanism of firms’ dynamic behaviours on knowledge flow in a multiplex inter-firm strategy proximity network. The paper proposes a conceptual model to examine how the different research and development (R&D) dynamic strategies impact the inter-firm knowledge flow from a network-to-network lens, considering the moderating effect of the firm size heterogeneity. To test the hypotheses, we conducted an empirical study on 150 listed firms in the global 3D printing industry from 2005 to 2016 using multi-source heterogeneous data and Quadratic Assignment Procedure (QAP) regression model. Results show that the proximities of the R&D internationalisation strategy and R&D domain strategy are positively associated with the inter-firm knowledge flow. Firm size heterogeneity plays a moderating role, and these effects vary at different stages of industrialisation.

JournalTechnology Analysis & Strategic Management
Journal citationIn Press
ISSN0953-7325
1465-3990
Year2024
PublisherTaylor & Francis (Routledge)
Accepted author manuscript
License
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Anyone
Digital Object Identifier (DOI)https://doi.org/10.1080/09537325.2024.2358429
Publication dates
Online06 Jun 2024
Publication process dates
Accepted16 May 2024
Deposited18 Jul 2024
Copyright holder© 2024, The Author(s)
Additional information

This is an Accepted Manuscript of an article published by Taylor & Francis in Technology Analysis and Strategic Management on 6 Jun 2024, available at: https://doi.org/10.1080/09537325.2024.2358429

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