TY - ABST
T1 - Why do Firms Divest a Foreign Subsidiary and Not Divest it?
T2 - A Social Network Theory Perspective
AU - Yasuda, Naoki
AU - Ueta, Toshimitsu
PY - 2018
Y1 - 2018
N2 - Prior literature examines the characteristics of subsidiaries, parent firms, and countries to explain why multinational corporations (MNCs) divest foreign subsidiaries. This study, however, applies the concepts of dependency and non-redundancy from social network theory to propose that MNCs are less likely to divest a subsidiary if the subsidiary has high degrees of hub and authority functions in the subsidiary networks. Moreover, this study discusses the logic of non-redundancy and economies of density in subsidiary networks. This study predicts that MNCs likely divest a focal subsidiary if regional redundancy in subsidiary functions is higher to make the subsidiary networks more efficient. This study also hypothesizes that MNCs are less likely to divest if regional redundancy in subsidiary functions is higher to enjoy economies of density. Using data from Japanese foreign affiliates, including transaction information among subsidiaries, we find a significant effect on the predictions.
AB - Prior literature examines the characteristics of subsidiaries, parent firms, and countries to explain why multinational corporations (MNCs) divest foreign subsidiaries. This study, however, applies the concepts of dependency and non-redundancy from social network theory to propose that MNCs are less likely to divest a subsidiary if the subsidiary has high degrees of hub and authority functions in the subsidiary networks. Moreover, this study discusses the logic of non-redundancy and economies of density in subsidiary networks. This study predicts that MNCs likely divest a focal subsidiary if regional redundancy in subsidiary functions is higher to make the subsidiary networks more efficient. This study also hypothesizes that MNCs are less likely to divest if regional redundancy in subsidiary functions is higher to enjoy economies of density. Using data from Japanese foreign affiliates, including transaction information among subsidiaries, we find a significant effect on the predictions.
U2 - 10.5465/AMBPP.2018.10785abstract
DO - 10.5465/AMBPP.2018.10785abstract
M3 - Conference abstract in proceedings
SN - Briarcliff Manor, NY
T3 - Academy of Management Proceedings
BT - Academy of Management Annual Meeting Proceedings
A2 - Taneja, Sonia
PB - Academy of Management
ER -