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The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context
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“Several studies have already demonstrated the applicability of the UTAUT in investigating the implementation of AI-CDSSs [12-17].”
From Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study (2023) · cites this paper as [12]
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Metadata
- Authors
- Arfi, W. B., Nasr, I. B., Kondrateva, G., & Hikkerova, L.
- Affiliations
- Paris School of Business (FR)
- Excelia Business School (FR)
- EDC Paris Business School (FR)
- IPAG Business School (FR)
- Corresponding author
- Arfi, Wissal Ben
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2021-06
- Volume
- 167
- Pages
- 120688
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W3132626133
- Cited by
- 290
- References
- 139
- Citations by year
- 2026: 30 · 2025: 54 · 2024: 76 · 2023: 62 · 2022: 55 · 2021: 13
- FWCI
- 43.98
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 634 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Technological Forecasting and Social Change (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Keywords
- Internet of Things, e-health, technology adoption, trust, intention to use, UTAUT, performance expectancy, consumer adoption, patient adoption, connected medical devices
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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