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Cited by 347

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Language Diversity in International Management Teams

HENDERSON, JANE KASSIS·2005·International Studies of Management & Organization

Abstract

This paper analyzes language diversity from a sociolinguistic perspective demonstrating how it operates in interactions between members of international management teams in multinational corporations (MNCs). A major challenge for teams composed of speakers of different languages is the building of trust and relationships that are language dependent. Based on published research and illustrative empirical data, findings indicate that language diversity has a significant impact on socialization processes and team building, influencing both communication acts and mutual perceptions. Results of investigations into multilingual teams using English as their language of communication show that many obstacles are encountered by native as well as nonnative speakers. There is clear evidence that if language diversity is to be a valuable resource for international management teams, the challenges it raises need to be identified.

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Metadata

Authors
HENDERSON, J. K.
Venue
International Studies of Management & Organization
Published
2005-01-01
Volume
35
Issue
1
Pages
66-82
ISSN
  • 0020-8825 (ISSN-L)
  • 1558-0911
OpenAlex
W1484761725
Cited by
347
References
23
FWCI
19.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Language Diversity in International Management Teams. https://app.cochat.ai/papers/10.1080/00208825.2005.11043722
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HENDERSON, J. K. (2005). Language Diversity in International Management Teams. International Studies of Management & Organization. https://doi.org/10.1080/00208825.2005.11043722

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.