Perceived Individual Collaboration Know-How Development Through Information Technology-Enabled Contextualization: Evidence from Distributed Teams
Open accessAbstract
In today’s global market environment, enterprises are increasingly turning to use of distributed teams to leverage their resources and address diverse markets. Individual members of structurally diverse distributed teams need to develop their collaboration know-how to work effectively with others on their team. The lack of face-to-face cues creates challenges in developing the collaboration know-how—challenges that can be overcome by communicating not just content, but also context. We derive a theoretical model from Te’eni’s (2001) cognitive-affective model of communication to elaborate how information technology (IT) can support an individual’s communication of context to develop collaboration know-how. Two hundred and sixty-three individuals working in structurally diverse distributed teams using a variety of virtual workspace technologies to support their communication needs were surveyed to test the model. Results indicate that when individuals perceive their task as nonroutine, there is a positive relationship between an individual’s perceived degree of IT support for communicating context information and his collaboration know-how development. However, when individuals perceive their task as routine, partial IT support for contextualization is associated with lower levels of collaboration know-how development. This finding is attributed to individuals’ misunderstanding of the conveyed context, or their struggling to utilize the context conveyed with partial IT support,…
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- Authors
- Majchrzak, A., Malhotra, A., & John, R.
- Affiliations
- University of Southern California (US)
- University of North Carolina at Chapel Hill (US)
- Venue
- Information Systems Research
- Published
- 2005-03
- Volume
- 16
- Issue
- 1
- Pages
- 9-27
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2131217004
- Cited by
- 350
- References
- 71
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 12 · 2023: 14 · 2022: 10 · 2021: 14 · 2020: 10 · 2019: 13 · 2018: 14 · 2017: 18 · 2016: 9 · 2015: 16 · 2014: 23 · 2013: 21 · 2012: 23
- FWCI
- 24.13
- Type
- journal article
- Language
- en
- Open access
- green
- papers.ssrn.com
- Locations
- Information Systems Research (publishedVersion)
- SSRN Electronic Journal (submittedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
- Social Sciences › Communication › Knowledge Management and Sharing
- Social Sciences › Education › Online and Blended Learning
- Keywords
- virtual teams, IT support, contextualization
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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