Why do users trust algorithms? A review and conceptualization of initial trust and trust over time
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A setting in which AI is embedded in the service relationship may provide limited, or different, signals on which both human-based trust and system-based trust can be established.
“As Cabiddu et al. (2022) observe, such a setting may provide limited, or different, signals on which both human-based trust and system-based trust can be established.”
From The AI of the Beholder: Intra‐Professional Sensemaking of an Epistemic Technology (2025) · cites this paper as Cabiddu et al. (2022)
The Introduction and §2 distinguish human-like and system-like bases for trust in AI and describe social cues that can shape perceptions of technology. The copy does not say that AI embedded in a service relationship provides limited or different signals for establishing both kinds of trust; that setting-specific point is not supported. (LLM, conf=0.82)
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- Authors
- Cabiddu, F., Moi, L., Patriotta, G., & Allen, D. G.
- Affiliations
- University of Cagliari (IT)
- University of Bath (GB)
- Texas Christian University (US)
- Corresponding author
- Cabiddu, Francesca
- Venue
- European Management Journal
- Publisher
- Elsevier BV
- Published
- 2022-10
- Volume
- 40
- Issue
- 5
- Pages
- 685-706
- ISSN
- 0263-2373 (ISSN-L)
- OpenAlex
- W4283020931
- Cited by
- 138
- References
- 121
- Citations by year
- 2026: 53 · 2025: 44 · 2024: 22 · 2023: 15 · 2022: 4
- FWCI
- 17.81
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- European Management Journal (publishedVersion)
- Warwick Research Archive Portal (University of Warwick) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- UNICA IRIS Institutional Research Information System (University of Cagliari) (submittedVersion, other-oa)
- Pure (University of Bath) (submittedVersion, cc-by-nc-nd)
- Funders
- Ministero dell’Istruzione, dell’Università e della Ricerca (F29E18000040001)
- Università degli Studi di Cagliari
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- trust in algorithms, initial trust, trust formation, algorithmic decision-making, user perceptions of AI, determinants of trust
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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.
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