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Coevolution of post-merger integration and dual knowledge networks reconstruction: evidence from Chinese overseas acquisitions

Feiqiong Chen (School of Economics, Zhejiang University, Hangzhou, China)
Wenjing Wang (School of Economics, Zhejiang University, Hangzhou, China)
Jieru Zhu (School of Economics, Zhejiang University, Hangzhou, China)

Chinese Management Studies

ISSN: 1750-614X

Article publication date: 12 July 2022

Issue publication date: 22 June 2023

282

Abstract

Purpose

Post-merger integration (PMI) is driven by coevolving processes. By integrating the literature on acquisitions with that of knowledge networks, this paper highlights different reconstruction mechanisms for dual knowledge networks during PMI – namely, internal knowledge network coupling and external knowledge network embeddedness. This paper aims to examine their coevolutionary relationships with PMI.

Design/methodology/approach

A coevolutionary framework is tested using a latent growth model and cross-lagged models. The analysis is based on longitudinal data collected from 116 Chinese technology-sourcing overseas merger and acquisition firms.

Findings

This paper unearths a novel idea that variations in post-merger reconstruction of dual knowledge networks can explain why some acquirers increase the degree of integration faster than the others. The results show that the internal knowledge network coupling leads to more knowledge similarity and, in turn, causes a higher degree of integration. The external knowledge network embeddedness also causes higher relative network status of the acquirer, which consequently leads to a higher degree of integration. Furthermore, results from cross-lagged models confirm that an increase in the degree of integration positively influences subsequent changes in the internal knowledge network coupling and external knowledge network embeddedness, thus forming a coevolutionary relationship over time.

Originality/value

This paper responds to recent calls for more insights into the dynamics of PMI. By highlighting different reconstruction mechanisms for internal and external knowledge networks during PMI, this paper explains why it is important to understand PMI dynamics from a dual knowledge network perspective. This paper is the first to adopt a coevolutionary perspective and provide a more comprehensive dynamic framework between PMI and reconstruction of dual knowledge networks. Besides, this paper contributes to the research on emerging market multinational corporations’ cross-border merger and acquisition integration from a dynamic perspective, revealing the time effects of traditionally favored light-touch integration.

Keywords

Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 71973127;71673248); Major Program of the National Social Science Foundation of China (Grant No.19VDL018); Key projects of the Natural Science Foundation of Zhejiang Province (Grant No. LZ20G020001); Key Projects of Zhejiang Province Philosophy and Social Sciences Superiority Discipline (Grant No. 20YSXK01ZD); Key Projects of Zhejiang Colleges and Universities Humanities and Social Sciences (Grant No. 2016ZB002); and Special Funding for Teaching and Research Development of Liberal Art Teachers in Zhejiang University (2017).

Citation

Chen, F., Wang, W. and Zhu, J. (2023), "Coevolution of post-merger integration and dual knowledge networks reconstruction: evidence from Chinese overseas acquisitions", Chinese Management Studies, Vol. 17 No. 4, pp. 906-932. https://doi.org/10.1108/CMS-05-2021-0183

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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