Categorization on Mergers and Acquisitions Using Transaction Networks and Network Dynamic Analysis

Abstract

Recently with the help of artificial intelligence (AI) in business sectors, innovative manufacturing methods are emerging. This study focuses on how to select mergers and acquisitions (M&A) partners automatically from transaction networks because transaction networks are important sources for business partner selection. We calculated betweenness centrality of and shortest path lengths between M&A pairs and found concentration intervals. From these results, we provide insights to M&A theory and practice.