Knowledge Structure and Dynamic Evolution of Cross-border M&A Study——Based on a Bibliometric Analysis of Chinese Core Journal Database from 1995 to 2019

Abstract

Abstract: This paper uses the bibliometric analysis method to sort out and analyze 1,041 Chinese core journal articles of cross-border M&A study, and uses statistical description, cooperation network, co-occurrence network and clustering method to determine the most influential institutions, journals, authors, etc. The paper analyzes the cooperative network between authors and institutions, reveals the research hotspots and evolution process of cross-border M&A literature. Empirical results show the current frontiers of cross-border M&A study are global value chain, M&A performance, technological innovation, etc. Three research recommendations are proposed, including focusing on crossover, quantification of theoretical research, and strengthening cooperation. The methods and conclusions of this paper provide meaningful enlightenment for academic research and enterprises' practice application, and promote the research of complex knowledge maps of cross-border M&A study.

Key words: bibliometric analysis, cross-border M&As, knowledge map, clustering, CiteSpace

Wang Linjun, Bai Yun, Sun Shaolong, Wei Yunjie. Knowledge Structure and Dynamic Evolution of Cross-border M&A Study——Based on a Bibliometric Analysis of Chinese Core Journal Database from 1995 to 2019[J]. Management Review, 2023, 35(9): 62-74.

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