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Cited by 567

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Interunit Communication in Multinational Corporations

Ghoshal, Sumantra, Korine, Harry, Szulanski, Gabriel·1994·Management Science

Abstract

In this paper we investigate some of the organizational factors that influence subsidiary-headquarters and intersubsidiary communication in multinational companies. Our study is based on data collected from 164 senior managers working in 14 different national subsidiaries within the consumer electronics division of Matsushita, a Japanese company, and 84 senior managers working in nine different national subsidiaries within the same business of N.V. Philips, the Holland-based competitor of Matsushita. We show that while subsidiary autonomy has no discernable influence on interunit communication, interpersonal relationships developed through lateral networking mechanisms such as joint work in teams, taskforces, and meetings have significant positive effects on the frequency of both subsidiary-headquarters and intersubsidiary communication. The findings are consistent in the two companies, one Japanese and the other European, and the underlying theoretical propositions appear applicable across borders.

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Metadata

Authors
Ghoshal, S., Korine, H., & Szulanski, G.
Venue
Management Science
Published
1994-01
Volume
40
Issue
1
Pages
96-110
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W1989230254
Cited by
567
References
2
FWCI
18.99
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Interunit Communication in Multinational Corporations. https://app.cochat.ai/papers/10.1287/mnsc.40.1.96
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Ghoshal, S., Korine, H., & Szulanski, G. (1994). Interunit Communication in Multinational Corporations. Management Science. https://doi.org/10.1287/mnsc.40.1.96

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.