1,002
Views
28
CrossRef citations to date
0
Altmetric
Original Articles

Dual organizational identification among Japanese expatriates: the role of communication in cultivating subsidiary identification and outcomes

Pages 1113-1128 | Published online: 07 Jul 2011
 

Abstract

Dual organizational identification is significant for the success of multinational corporation (MNC) employees. This study has extended this research area by examining expatriates of Japan-based MNCs. In addition, this study has extended the existing identity-matching principle by incorporating a communication perspective. It investigated the antecedents and outcomes of subsidiary identification. Self-report survey data from 159 Japanese expatriates in the USA were analyzed. The results indicated the significance of local language proficiency in the development of identification with the subsidiary. In addition, local identification was the predictor of expatriates' adaptation to the subsidiary. Furthermore, the results showed that local organizational identification is related to their stress level in international assignments. These results also supported the growing view of situation-oriented identification. The follow-up interviews reinforced these results.

Acknowledgments

The author would like to thank Phil Tompkins, Sachi Shearman, and Dan Modaff for their helpful comments to the earlier versions of this manuscript. This study was financially supported by the WKU Faculty Scholarship Council.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 352.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.