Abstract
Global virtual teams (GVT) continue to struggle with the challenges of communication. In order to understand and study GVT actors’ behaviour in GVTs, it is imperative to understand what they attribute their own and others’ communication behaviour to. We examined a multinational corporation, with its headquarters in Europe and conducted 11 interviews with GVT actors. With our qualitative research we investigated how GVT members explain their own as well as others’ communication behaviour in GVT. This study enriches the existing GVT literature by providing information on how actors make sense of their own social world in a different way than they make sense of their co-workers’ social world. We show that there is a mismatch in the types of explanations given for the interviewee’s own communication behaviour and others’ communication behaviour. One example of the mismatch is that GVT actors tended to explain their own constructive communication behaviour, but placed greater emphasis on explaining other persons’ defensive and negative communication behaviour. Another example is that GVT actors explain others’ communication behaviour with the other persons’ cultural background, but not their own communication behaviour. Our study contributes to research on communica-tion behaviour in GVTs.
Original language | English |
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Title of host publication | ECIS 2018 Proceedings |
Publisher | Association for Information Systems |
Number of pages | 16 |
ISBN (Electronic) | 978 1 86137 667 1 |
Publication status | Published - Jun 2018 |
MoE publication type | A4 Article in a conference publication |
Event | European Conference on Information Systems - Portsmouth, United Kingdom Duration: 23 Jun 2018 → 28 Jun 2018 Conference number: 26 |
Conference
Conference | European Conference on Information Systems |
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Abbreviated title | ECIS |
Country/Territory | United Kingdom |
City | Portsmouth |
Period | 23/06/2018 → 28/06/2018 |
Keywords
- Communication behaviour
- Electronic communication media
- Global virtual team
- Qualitative research
- Self-attribution
- Social attribution