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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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Internet of Things (IoT) enabled assistive care services: Designing for value and trust
Bhattacharya, S. D., Wainwright, D. W., & Whalley, J. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.08.333 · Cited by 29
Ramtohul, I. (2015) · Health Policy and Technology · doi:10.1016/j.hlpt.2015.04.007 · Cited by 26
Agent-based computational models to explore diffusion of medical innovations among cardiologists
Borracci, R. A., & Giorgi, M. A. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.02.008 · Cited by 16
Radaelli, G., Lettieri, E., Frattini, F., Luzzini, D., & Boaretto, A. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.12.015 · Cited by 14
A Study of Effects of UTAUT-Based Factors on Acceptance of Smart Health Care Services
Moon, Y.-J., & Hwang, Y.-H. (2015) · Lecture notes in electrical engineering · doi:10.1007/978-3-662-47895-0_38 · Cited by 13
Handbook of Research on Cultural and Economic Impacts of the Information Society
Thomas, P. E., Srihari, M., & Kaur, S. (2015) · Advances in human and social aspects of technology book series · doi:10.4018/978-1-4666-8598-7 · Cited by 13
Boontarig, W. (2016) · International Computer Science and Engineering Conference · doi:10.1109/icsec.2016.7859897 · Cited by 11
Effect of Mobile Phone SMS on M-Health
Shareef, M. A., Ahmed, J. U., Kumar, V., & Kumar, U. (2015) · Advances in human and social aspects of technology book series · doi:10.4018/978-1-4666-8598-7.ch012 · Cited by 5
An Empirical Study of User Acceptance on Medical and Health Website Based on UTAUT
Jianbin, S., & Jiaojiao, L. (2013) · WHICEB · Cited by 3
Internet opt-in opt-out: Investigating the of frames, and privacy concerns
Lai, Y. L., & Hui, K.-L. (2006) · Rare & Special e-Zone (The Hong Kong University of Science and Technology) · doi:10.1145/1125170
Flagged first, then by citations
2 of the 139 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Alazzam, 2016, Trust in stored data in EHRs acceptance of medical staff: using UTAUT2, Int. J. Appl. Eng. Res., 11, 2737
- Sung, 2018, The influence of perceived risk and consumer innovativeness on intention to use of internet of things service, J. Theor. Appl. Inf. Technol., 96
Cited by
Sorted by citations
IoT and artificial intelligence implementations for remote healthcare monitoring systems: A survey
Alshamrani, M. I. (2021) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2021.06.005 · Cited by 405
Internet of Things (IoT): From awareness to continued use
Koohang, A. A., Sargent, C. S., Nord, J. H., & Paliszkiewicz, J. O. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102442 · Cited by 200
IoT Adoption and Application for Smart Healthcare: A Systematic Review
Al-Rawashdeh, M., Keikhosrokiani, P., Belaton, B., Alawida, M., & Zwiri, A. M. A. (2022) · Sensors · doi:10.3390/s22145377 · Cited by 203
Alkhowaiter, W. A. (2022) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2022.100240 · Cited by 203
Determinants of intention to use autonomous vehicles: Findings from PLS-SEM and ANFIS
Foroughi, B., Nhan, P. V., Iranmanesh, M., Ghobakhloo, M., Nilashi, M., & Yadegaridehkordi, E. (2022) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2022.103158 · Cited by 138
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.
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