Language clustering and knowledge sharing in multilingual organizations: A social perspective on language

A1 Originalartikel i en vetenskaplig tidskrift (referentgranskad)

Interna författare/redaktörer

Publikationens författare: Fahran Ahmad , Gunilla Widén
Förläggare: Sage Publications
Publiceringsår: 2015
Tidskrift: Journal of Information Science
Tidskriftsakronym: JIS
Volym: 41
Nummer: 4
Artikelns första sida, sidnummer: 430
Artikelns sista sida, sidnummer: 443
eISSN: 17416485


Knowledge sharing is a product of the collaborative and supportive environment shaped by socialization and informal communication between employees. Under the pressure of globalization and business internationalization, workforces have become increasingly diverse, particularly in terms of language. This has implications for knowledge sharing. It has been observed that employees tend to gravitate towards their own language communities, leading to language clustering (language-based grouping), which affects informal communication and knowledge mobility in organizations negatively. Although the existence of such clusters has been reported in many previous studies, we do not clearly understand how and why language brings these clusters into being and what kind of implications this has for knowledge sharing. This paper draws upon the theory of the semiotic processes of linguistic differentiation taken from linguistic anthropology to provide a theoretical framework capable of explaining the dynamics of language creating language clusters. Unlike previous knowledge management studies, which largely focus on the instrumental aspect of language, this paper adopts a social perspective on language. It is argued that, to deal with language clustering, we have to explore the dynamics operating behind it in detail. This will not only allow us to understand its implications for knowledge sharing but will also be helpful in devising potent knowledge management initiatives in multilingual workplaces.


knowledge management, knowledge sharing, Language, language clustering, language diversity, multilingual organization

Senast uppdaterad 2020-01-04 vid 06:34