Network analysis of Japanese global business using quasi-exhaustive micro-data for Japanese overseas subsidiaries
Jean-Pascal Bassino, Pablo Jensen, Matteo Morini

TL;DR
This study uses network analysis on a large micro-data set to examine Japanese overseas subsidiaries, revealing that global Japanese business networks do not conform to traditional organizational models and have become more complex over time.
Contribution
It provides the first global empirical test of the Miwa-Ramseyer hypothesis using micro-data on Japanese subsidiaries, challenging previous claims about organizational structures.
Findings
Rejects the Miwa-Ramseyer hypothesis at the global level
Japanese overseas networks have become more complex over time
Key network features remain stable across regions and sectors
Abstract
Network analysis techniques remain rarely used for understanding international management strategies. Our paper highlights their value as research tool in this field of social science using a large set of micro-data (20,000) to investigate the presence of networks of subsidiaries overseas. The research question is the following: to what extent did/do global Japanese business networks mirror organizational models existing in Japan? In particular, we would like to assess how much the links building such business networks are shaped by the structure of big-size industrial conglomerates of firms headquartered in Japan, also described as HK. The major part of the academic community in the fields of management and industrial organization considers that formal links can be identified among firms belonging to HK. Miwa and Ramseyer (Miwa and Ramseyer 2002; Ramseyer 2006) challenge this claim and…
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Taxonomy
TopicsComplex Network Analysis Techniques · Innovation and Knowledge Management · International Business and FDI
