取引ネットワークによる企業再編・買収の類型化とそのダイナミクスの解析

抄録

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.