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Interfirm networks and search-transfer problem: the role of geographic proximity

Dong Wu (School of Management, Zhejiang University, Hangzhou, China)
Xiaobo Wu (School of Management, Zhejiang University, Hangzhou, China)
Haojun Zhou (School of Management, Zhejiang University, Hangzhou, China)
Mingu Kang (School of Management, Zhejiang University, Hangzhou, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 9 March 2020

Issue publication date: 4 May 2020

251

Abstract

Purpose

This paper represents an empirical study of how geographic proximity influences the search advantage and the transfer problem of interfirm networks.

Design/methodology/approach

By using the data collected from 226 Chinese manufacturing firms, this study examines the proposed hypotheses.

Findings

The authors’ findings suggest that (1) geographic proximity is an important antecedent for promoting knowledge transfer, whereas it lowers the degree of knowledge novelty; and (2) geographic proximity also moderates the effects of interfirm networks on knowledge novelty and knowledge transfer.

Originality/value

This study contributes the literature of interfirm network and provides practical implications by addressing the ways in which manufacturing firms can promote knowledge transfer and acquire novel knowledge.

Keywords

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Nos 71502163, 71832013 and 71821002).

Citation

Wu, D., Wu, X., Zhou, H. and Kang, M. (2020), "Interfirm networks and search-transfer problem: the role of geographic proximity", Industrial Management & Data Systems, Vol. 120 No. 5, pp. 923-940. https://doi.org/10.1108/IMDS-07-2019-0384

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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