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The Unexpected Upside of High Language Diversity: Social Integration Through Language Advice Networks

Authors: Mai Al-Naemi; Hyun-Jung Lee; Carol Reade;

The Unexpected Upside of High Language Diversity: Social Integration Through Language Advice Networks

Abstract

While the corporate lingua franca mandate aims to facilitate communications among linguistically diverse employees, evidence shows that it creates more problems than it solves, often negatively affecting social integration and knowledge sharing in the workplace. Our study is driven by the phenomenon of high language diversity and low lingua franca proficiency, emerging characteristics of workplaces around the globe given increasing migration. We adopt a mixed-methods, longitudinal design involving participant observations, interviews, social network surveys, and company data. Our analysis revealed the existence and prevalence of an informal language advice network (LAN) in which individuals with varying levels of English proficiency actively engage in voluntary language-related knowledge-seeking and sharing. We found more positive interpersonal interactions and consequences of LAN than typically reported in extant studies. We leverage the social networks and generalized exchange literature to explain the processes and consequences of LAN for individuals and the organization. Management recognition was found to be important for sustaining LAN in a context of high language diversity. Our integrative analytical framework offers a valuable lens for scholarship on future workplaces that are being shaped by rapidly shifting ethnic, cultural, and linguistic demography.

Country
United Kingdom
Keywords

social networks, AOM Chicago 2024, language diversity, generalized exchange theory, corporate lingua franca, international management, knowledge sharing, multinational corporation, best paper, AOM Annual Meeting Proceedings 2024

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
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