Individual Swift Trust and Knowledge-Based Trust in Face-to-Face and Virtual Team Members
Open accessAbstract
Traditionally, trust has been seen as a result of personal knowledge of an individual's past behavior. In this view, trust develops gradually over time based on an individual's cognitive assessment of the other person's behavior. However, high levels of trust have been observed among members of virtual teams, who often have little prior history of working together and may never meet each other in person. To integrate these two seemingly contradictory views of trust, this study manipulated team member characteristics and team member behavior to empirically test a two-stage theoretical model of trust formation and the influence of information and communication technologies (ICT) on trust formation. The results indicate that category-based processing of team member characteristics and an individual's own disposition to trust dominated the initial formation of swift trust. Once individuals accumulated sufficient information to assess a team member's trustworthiness, the effects of swift trust declined and knowledge-based trust formed using team members' behaviors (perceived ability, integrity, and benevolence) became dominant. The use of ICT increased perceived risk of team failure, which reduced the likelihood that team members would engage in future trusting behaviors.
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Virtual interaction makes trust development much less likely.
“Teams that interact virtually are considerably less likely to develop trust [216].”
From Challenges and barriers in virtual teams: a literature review (2020) · cites this paper as [216]
The Prior Theories and the Proposed Model section (page unavailable) says ICT-mediated interaction can slow relationship development and make trust harder to build. But the Abstract notes that high initial trust has been observed in virtual teams. The source therefore supports a difficulty in developing trust, not the unqualified claim that virtual teams are considerably less likely to develop it. (LLM, conf=0.86)
Experimental — accuracy not yet measuredAccording to similarity/attraction theory, team members attribute positive traits to similar others and prefer to interact with them.
“Furthermore, in accordance with similarity/attraction theory, team members attribute positive traits to team members that they believe are similar to themselves and prefer to interact with them [216,255].”
From Challenges and barriers in virtual teams: a literature review (2020) · cites this paper as [216]
The “Swift trust” section says that people ascribe positive attributes to in-group members and are more likely to trust teammates they believe are similar to themselves. It does not say they prefer to interact with those teammates; its discussion concerns trust, not interaction preference. No page number is available in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
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- Authors
- Robert, L. P., Denis, A. R., & Hung, Y.-T. C.
- Affiliations
- University of Arkansas at Fayetteville (US)
- Indiana University (US)
- Rochester Institute of Technology (US)
- Venue
- Journal of Management Information Systems
- Publisher
- Informa UK Limited
- Published
- 2009-09
- Volume
- 26
- Issue
- 2
- Pages
- 241-279
- ISSN
- 0742-1222 (ISSN-L)
- 1557-928X
- OpenAlex
- W2040936209
- Cited by
- 514
- References
- 174
- Citations by year
- 2026: 19 · 2025: 32 · 2024: 37 · 2023: 37 · 2022: 31 · 2021: 51 · 2020: 52 · 2019: 37 · 2018: 28 · 2017: 28 · 2016: 24 · 2015: 23 · 2014: 36 · 2013: 24 · 2012: 34
- FWCI
- 23.93
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Management Information Systems (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
- Social Sciences › Communication › Knowledge Management and Sharing
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- swift trust, knowledge-based trust, virtual teams, face-to-face teams, trust formation, information and communication technologies, trustworthiness
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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