Shortening the distance between firms for M&A: the influence of small-world network structure on mergers and acquisitions

Thiago de Sousa Barros, Julián Cárdenas and Ariane Ribeiro Hott

International Journal of Emerging Markets, 2022, vol. 19, issue 6, 1521-1541

Abstract: Purpose - A small-world network is a type of network structure in which nodes are highly clustered and at short distances without being directly linked. This article analyzes whether the network of interlocking directorates among the largest Brazilian corporations follows a small-world network structure and if the small-world properties (high clustering and short distance between nodes) influence the occurrence of M&A at the domestic and international level. Design/methodology/approach - The authors tested hypotheses regarding the relationship between small-world network properties and M&A based on a sample of large publicly-listed corporations in Brazil for the time series of 2000–2015 and using network analysis and regression techniques (probit and OLS). Findings - The results show that while the Brazilian corporate network fits the small-world features of high clustering and short path lengths, only the distance among connected firms has a significant effect on international M&A: the shorter the distance between firms, the more likely firms undertake M&A abroad. Moreover, being integrated into the main component has a significant positive effect on national and international M&A. These findings suggest that the information and knowledge to undertake M&A can be better acquired by belonging to large business communities and not local cohesive clusters. Originality/value - This research contributes to theories and ongoing debates about the network effects on organizational decisions and the determinants of M&A in emerging markets. In addition, this is the first study to analyze the impact of small-world networks on international M&A while controlling for country-level variables.

Keywords: Interlocking directorates; M&A; Cross-border M&A; Network analysis; Corporate networks; Brazil (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ijoemp:ijoem-11-2021-1792

DOI: 10.1108/IJOEM-11-2021-1792

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