The DOI matches its Crossref record; 137 of the 139 references it cites were found in a registry or an index.
The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context
Open accessOverview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
Valente, T. W. (2003) · Genetics in Medicine · doi:10.1097/01.gim.0000061743.67794.c4 · Cited by 20,559
A primer on partial least squares structural equation modeling (PLS-SEM)
Leguina, A. (2015) · International Journal of Research & Method in Education · doi:10.1080/1743727x.2015.1005806 · Cited by 18,921
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
(2014) · DigitalCommons - Kennesaw State University (Kennesaw State University) · Cited by 12,785
(1998) · Cited by 12,725
Internet of Things (IoT): A vision, architectural elements, and future directions
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2013.01.010 · Cited by 12,293
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
Items 101–200 of 290
Dis/Trust and data-driven technologies
Dueñas-Cid, D., & Calzati, S. (2023) · Internet Policy Review · doi:10.14763/2023.4.1727 · Cited by 18
Malarvizhi, C. A., Manzoor, S. R., & Haque, R. (2024) · International Journal of Service Science Management Engineering and Technology · doi:10.4018/ijssmet.349911 · Cited by 19
Drones in food delivery: an analysis of consumer values and perspectives
Abbasi, G. A., Rodríguez-López, M. E., Higueras‐Castillo, E., & Liébana-Cabanillas, F. J. (2024) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2024.2407496 · Cited by 12
Nasr, I. B., Abaidi, I., & Thomas, L. B. (2024) · Information Systems Frontiers · doi:10.1007/s10796-024-10563-1 · Cited by 13
Self-citationEmpowering health care consumers in the era of Internet of Things
François, J., Audrain‐Pontevia, A., Menvielle, L., & Chevalier, N. (2022) · International Journal of Consumer Studies · doi:10.1111/ijcs.12887 · Cited by 13
Chew, E. A. L., Teo, S. H., Tang, W. E., Ng, D. W. L., Koh, G. C., & Teo, V. H. Y. (2023) · JMIR Human Factors · doi:10.2196/36072 · Cited by 12
Alkhwaldi, A. F. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-15342-6_28 · Cited by 12
Analysis of Intention to Use on Pay Later Payment System During COVID-19 Pandemic
Setiawan, A. A., Silaen, Y. E., Andreas, T., & Oktavia, T. (2022) · International Journal of Emerging Technology and Advanced Engineering · doi:10.46338/ijetae0322_14 · Cited by 11
Liu, X., Zhou, Y., Wang, Z., Kumar, A., & Biswas, B. N. (2023) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2023.3307550 · Cited by 11
User acceptability of blockchain technology for enabling electronic health record exchange
Baltruschat, L. M., Jaiman, V., & Urovi, V. (2023) · Journal of Systems and Information Technology · doi:10.1108/jsit-09-2022-0225 · Cited by 14
Altawaiha, I., Atan, R., Yaakob, R. B., & Abdullah, R. B. H. (2024) · International journal of information technology · doi:10.1007/s41870-024-01742-z · Cited by 10
Dadhich, M., Hiran, K. K., Rao, S. S., & Sharma, R. (2022) · International Journal of Ambient Computing and Intelligence · doi:10.4018/ijaci.300798 · Cited by 10
COVID-19 and people's continued trust in eHealth systems: a new perspective
Alzahrani, A. I., Al‐Samarraie, H., Eldenfria, A., Dodoo, J. E., Zhou, X., & Alalwan, N. (2022) · Behaviour and Information Technology · doi:10.1080/0144929x.2022.2071168 · Cited by 11
Zin, R. M. (2024) · Journal of Electrical Systems · doi:10.52783/jes.2392 · Cited by 12
Consumers’ receptivity to mHealth technologies: a hybrid PLS–ANN approach
Ooi, S. K., Yeap, J. A. L., Lam, S. L., & Gim, G. C. W. (2024) · Kybernetes · doi:10.1108/k-10-2023-2029 · Cited by 9
Malarvizhi, C. A., Mamun, A. A., Reza, M. N. H., & Masud, M. M. (2024) · Digital Health · doi:10.1177/20552076241272577 · Cited by 12
Evaluating the benefits and risks of facial recognition payment systems adoption in Malaysia
Lim, H. T., Zadeh, A. V., Hanifah, H. M., & Nikbin, D. (2024) · International Journal of Bank Marketing · doi:10.1108/ijbm-05-2024-0300 · Cited by 11
Improving Quality of Life with Emerging AI and IoT Based Healthcare Monitoring Systems
Akhtar, N., Singh, K. B. B., Agarwal, P. D., & Perwej, Y. (2025) · International Journal of Scientific Research in Computer Science Engineering and Information Technology · doi:10.32628/cseit2514551 · Cited by 9
Zadeh, A. V., Nikbin, D., Danaraj, T., & Hanifah, H. M. (2025) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-11-2024-0610 · Cited by 11
Use of health self-management platform features: The case of a specialist ehealth app
Cenamor, J. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.122066 · Cited by 11
Altawaiha, I., Atan, R. B., Yaakob, R., & Abdullah, R. (2024) · International Journal of Information Technology · doi:10.1007/s41870-024-01743-y · Cited by 9
Gunnoo, L., Subadar, U., & Fauzel, S. (2023) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2023.100724 · Cited by 11
Sartono, Y., Astuti, E. S., Wilopo, W., & Noerman, T. (2024) · F1000Research · doi:10.12688/f1000research.152228.1 · Cited by 8
Trust in Cryptocurrency Payments
Mutambik, I., Almuqrin, A., Zhang, Z., & Alharbi, Z. H. (2024) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.353910 · Cited by 8
Leveraging Blockchain for Transparency: A Study on Organ Supply Chains and Transplant Processes
Panigrahi, R. R., Mukherjee, S., Shaikh, Z. H., & Nomran, N. M. (2025) · Logistics · doi:10.3390/logistics9010009 · Cited by 10
Yue, J., Wang, K., & Wang, C. (2025) · Journal of Asia Social Science Practice · doi:10.71411/jassp.2025.13 · Cited by 8
Raza, S. H., Norin, U., Ogadimma, E. C., Zaman, U., Shah, A. A., Khan, S., Alkahtani, H. K., Alkhowaiter, M., & Khan, S. U. (2025) · BMC Public Health · doi:10.1186/s12889-025-22082-y · Cited by 8
Seniors’ attitudes and intention toward IoT enabled healthcare devices in emerging economies
Malarvizhi, C. A., Mamun, A. A., Reza, M. N. H., & Yang, M. (2025) · Scientific Reports · doi:10.1038/s41598-025-97507-0 · Cited by 8
Zhang, L., Yang, J., & Fang, G. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1637270 · Cited by 8
Quantum Blockchain for Smart Society
Dadhich, M., & Tiwari, H. (2022) · Advances in data mining and database management book series · doi:10.4018/978-1-6684-5072-7.ch009 · Cited by 8
Singh, M., Tandon, U., & Mittal, A. (2023) · Information Discovery and Delivery · doi:10.1108/idd-02-2022-0016 · Cited by 8
Allawi, W. H., & Alyouzbaky, B. A. (2024) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-09-2022-0164 · Cited by 10
Hossain, M. I., Rahman, M. S., & Jun, K. H. (2024) · Information Development · doi:10.1177/02666669241254054 · Cited by 9
Zhang, Q., & Liang Ma, A. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2366015 · Cited by 9
ARTIFICIAL INTELLIGENCE FOR INNOVATION: A BIBLIOMETRIC ANALYSIS AND STRUCTURAL VARIATION APPROACH
Jabeur, S. B., Stef, N., & Arfi, W. B. (2024) · International Journal of Innovation Management · doi:10.1142/s1363919624500208 · Cited by 8
Self-citationManaging generative artificial intelligence in the daily lives of people with disabilities
Bagnato, G., Moreno, F. R., Giachino, C., & Ali, A. A. (2025) · Management Decision · doi:10.1108/md-10-2024-2471 · Cited by 7
Ramadan, E., Abdalla, S. Z. S., Ahbabi, A. A., Gibreel, T., & Hosani, N. A. (2025) · City and Environment Interactions · doi:10.1016/j.cacint.2025.100222 · Cited by 7
Palm, K., Kronlid, C., Elf, M., & Brantnell, A. (2025) · JMIR Human Factors · doi:10.2196/71546 · Cited by 7
Edu, A. S. (2023) · Aslib Journal of Information Management · doi:10.1108/ajim-10-2022-0465 · Cited by 9
Dueñas-Cid, D. (2024) · Annual International Conference on Digital Government Research · doi:10.1145/3657054.3657262 · Cited by 7
The future of non-contact commerce: the role of voice payments
Nguyen, N.-T. T., Tran, P.-T., Dang, T.-Q., & Nguyen, L.-T. (2024) · Journal of Financial Services Marketing · doi:10.1057/s41264-024-00292-6 · Cited by 7
Users' Concerns and the Internet of Things (IoT) Risk Beliefs
Sargent, C. S., Koohang, A. A., & Svanadze, S. (2024) · Journal of Global Information Management · doi:10.4018/jgim.359210 · Cited by 7
Tensen, P., Dormolen, S. V., van de Vijver, S. J. M., van de Pavert, M. L., & Agyemang, C. O. (2024) · Global Public Health · doi:10.1080/17441692.2024.2445840 · Cited by 7
Ramadan, E., Abdalla, S. Z. S., & Elshaiekh, N. E. (2025) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2025.101377 · Cited by 11
Kaur, A., Ahuja, P., Jain, J., Singh, S., & Garg, A. (2022) · Business Perspectives and Research · doi:10.1177/22785337221091017 · Cited by 7
Adoption of IoT-based healthcare devices: An empirical study of end consumers in an emerging economy
Dutta, A., Kovid, R. K., Thatha, M., & Gupta, J. (2023) · Paladyn Journal of Behavioral Robotics · doi:10.1515/pjbr-2022-0106 · Cited by 7
Machine Learning and IoT in Health 4.0
Darwish, D. A. M. (2024) · Studies in computational intelligence · doi:10.1007/978-981-97-5624-7_7 · Cited by 6
Wang, J., Lian, X., & Qi, X. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-05681-3 · Cited by 7
Chang, H.-T., Hariharasitaraman, S., Mishra, N., Balakrishnan, D., & Mariappan, U. (2025) · Journal of the Chinese Institute of Engineers · doi:10.1080/02533839.2025.2560450 · Cited by 6
The impact of continuous use intention of cooperative members on new agricultural technologies
Jia, F., Zhang, R., & Li, J. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1089362 · Cited by 6
Adopting DevOps practices: an enhanced unified theory of acceptance and use of technology framework
Salih, A. M., Syed-Mohamad, S. M., Keikhosrokiani, P., & Samsudin, N. H. (2023) · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · doi:10.11591/ijece.v13i6.pp6701-6717 · Cited by 7
Bibliometric analysis on usage of Industry 4.0 technologies in healthcare
Khanuja, A., Sreedharan, R., & Sharma, N. V. (2024) · The TQM Journal · doi:10.1108/tqm-08-2023-0252 · Cited by 6
Wu, C., Yang, Z., Yuan, Q., & Zhang, H. (2024) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2024.102867 · Cited by 7
Baum, U., Kühn, F., Lichters, M., Baum, A.-K., Deike, R., Hinrichs, H., & Neumann, T. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192013202 · Cited by 6
Escaping the Walled Garden? User Perspectives of Control in Data Portability for Social Media
Jamieson, J., & Yamashita, N. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3610188 · Cited by 9
Exploring Post-Adoption Behavior of the UPI users with Cognitive and Affective Factors
Kaur, S., Katoch, R., & Rana, A. K. (2022) · International Journal on Recent and Innovation Trends in Computing and Communication · doi:10.17762/ijritcc.v10i12.5895 · Cited by 6
Digital readiness of Islamic rural banks in Indonesia: Lesson from the COVID-19 pandemic
Nurfadilah, D., Samidi, S., & Daryanto, W. M. (2023) · Cogent Business & Management · doi:10.1080/23311975.2023.2259587 · Cited by 11
Shi, Y., Zhan, W., & Lin, C. (2025) · Frontiers in Robotics and AI · doi:10.3389/frobt.2025.1667123 · Cited by 5
Unveiling shadows: exploring the dark side of digital transformation in Abu Dhabi
Badri, M. A., Alkhaili, M., Aldhaheri, H., Yang, G., Albahar, M., Yaageib, S., & AlRashdi, A. S. (2024) · Digital Transformation and Society · doi:10.1108/dts-02-2024-0012 · Cited by 5
Gkinko, L., & Elbanna, A. R. (2022) · IFIP advances in information and communication technology · doi:10.1007/978-3-031-17968-6_7 · Cited by 7
Technology Adoption and Usage Behaviors in Field Incident Management System Utilization
Buyan, C. A., Jesus, N. M. D., & Castro, E. T. (2023) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2023.01406108 · Cited by 5
Xu, F., Hu, J., Liu, D., & Zhou, C. (2024) · Sustainability · doi:10.3390/su16146058 · Cited by 5
Internet of Things adoption: unpacking the role of perceived brand credibility
Dutta, A., Kovid, R. K., Drave, V. A., & Bhatia, M. S. (2023) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-05-2023-0160 · Cited by 5
Sharma, A., Sharma, B. K., & Bhatt, V. (2025) · Journal of Decision System · doi:10.1080/12460125.2025.2477335 · Cited by 5
Mulyani, E. Y., Rakhmawati, T., Damayanti, S., Sumaedi, S., & Bakti, I. (2025) · Digital Health · doi:10.1177/20552076251392648 · Cited by 4
Li, Z. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-06151-6 · Cited by 10
The use of ChatGPT for online health information seeking in Hungary
Rojkovich, Á. K., Kemény, I., & Simon, J. (2024) · International Conference on Control, Decision and Information Technologies (CoDIT) · doi:10.1109/codit62066.2024.10708295 · Cited by 4
Profiling the AI speaker user: Machine learning insights into consumer adoption patterns
Choi, Y., & Lee, C. (2024) · PLoS ONE · doi:10.1371/journal.pone.0315540 · Cited by 4
Socio-Organisational Challenges and Impacts of IoT: A Review in Healthcare and Banking
Kalsoom, T., Ramzan, N., Ahmed, S., Anjum, N., Safdar, G. A., & Rehman, M. U. (2025) · Journal of Sensor and Actuator Networks · doi:10.3390/jsan14030046 · Cited by 4
Individual Acceptance of Internet of Things: A Meta Analytical Review
Gupta, N., & Singh, A. K. (2025) · International Journal of Consumer Studies · doi:10.1111/ijcs.70070 · Cited by 4
Digital financial services adoption: the role of trust and government intervention as mediators
Loke, Y. J., Chin, P. N., & Lee, H. S. H. (2025) · Digital Policy Regulation and Governance · doi:10.1108/dprg-02-2024-0028 · Cited by 7
The Interaction of Perceived Susceptibility with Predictors of mHealth Technology Usage
Sutarno, M., & Sutarno, S. (2022) · American Journal of Health Behavior · doi:10.5993/ajhb.46.6.14 · Cited by 4
Muñoz, M. D. L. F. R., Kovacheva, K. I., García-López, H. S., Le, H., Ruiz, N., Olivares, M. E., Méndez, N. I., & Coronado, P. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1186963 · Cited by 4
Piekema, L., ten Brug, A., Waninge, A., & van der Putten, A. A. J. (2024) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2024.2387774 · Cited by 5
Factors Influencing the Adoption of Remote Visual Inspection in Building Regulatory Activities
Hu, S., Fang, Y., Windholz, E., & Khoshelham, K. (2025) · Journal of Management in Engineering · doi:10.1061/jmenea.meeng-6559 · Cited by 4
Online Dating Apps Adoption: A Perspective from Young Adults in Malaysia
Chan, X. Y., Choy, J. N., Chua, Z. L., Ng, S. J., & Ong, S. K. (2023) · Advances in economics, business and management research/Advances in Economics, Business and Management Research · doi:10.2991/978-2-494069-99-2_8 · Cited by 4
Li, F., Negera, D. T., Chudhery, M. A. Z., Zhao, Q., & Gao, L. (2024) · IEEE Access · doi:10.1109/access.2024.3464101 · Cited by 5
Alfarizi, M., & Sari, R. K. (2021) · International Conference on Advanced Computer Science and Information Systems · doi:10.1109/icacsis53237.2021.9631307 · Cited by 4
Mobile Payment Adoption in Pakistan: Extending UTAUT with Islamic Religiosity
Hassaan, M., Li, G., & Akhtar, R. (2023) · journal of social sciences review · doi:10.54183/jssr.v3i2.224 · Cited by 3
ŞAHİN, D., Kurutkan, M. N., & ARSLAN, T. (2024) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-10-2023-0174 · Cited by 3
IDENTIFYING HEALTHCARE WORKERS’ INTENTION TOWARD TELEHEALTH IN INDONESIA DUE TO COVID-19 PANDEMIC
Fathurahman, M. R., Basri, M. H., & Belgiawan, P. F. (2022) · Jurnal Administrasi Kesehatan Indonesia · doi:10.20473/jaki.v10i2.2022.165-176 · Cited by 4
Embedded System For Chronic Disease Patient Monitoring Using Iot
Kiran, Parameshachari, B. D., & S, S. K. D. (2023) · International Conference on Data Science and Network Security (ICDSNS) · doi:10.1109/icdsns58469.2023.10245105 · Cited by 3
The Future Role of Clinical Artificial Intelligence: View of Chronic Patients
Wang, B., Asan, O., Liao, T., & Mansouri, M. (2024) · IEEE Transactions on Technology and Society · doi:10.1109/tts.2024.3374647 · Cited by 3
Elinzano, G. B. O., Payawal, B. O., & Ebardo, R. A. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-97-2977-7_33 · Cited by 3
Determinan Faktor yang Mempengaruhi E-Trust dan Minat Menggunakan Aplikasi Alodokter
Pradita, K. Y. (2021) · Jurnal Penelitian dan Pengembangan Sains dan Humaniora · doi:10.23887/jppsh.v5i3.38683 · Cited by 7
Public Health management: Impact Perception of Telemedicine Cabin on Intention to Use
Kondrateva, G., Baudier, P., Ammi, C., & Hikkerova, L. (2022) · Gestion et management public · doi:10.3917/gmp.102.0033 · Cited by 4
Self-citationQuasi-Mapping and Satisfying IoT Availability with a Penalty-Based Algorithm
Rahmani, A. M., Naqvi, R. A., Ali, S., Mirmahaleh, S. Y. H., & Hosseinzadeh, M. (2021) · Mathematics · doi:10.3390/math9243286 · Cited by 3
Lathifah, A., Putro, U. S., Rinawan, F. R., Novani, S., Hasyimi, V., & Tiara, A. R. (2023) · CommIT (Communication and Information Technology) Journal · doi:10.21512/commit.v17i2.8567 · Cited by 3
Grasping the digital transformation of agri-food systems through responsible sense-making
Rijswijk, K. (2022) · doi:10.18174/564812 · Cited by 3
Factors Influencing Continuance Intentions of Unified Payment Interface (UPI) usersPreprint
kaur, S. (2022) · Research Square · doi:10.21203/rs.3.rs-1966920/v1 · Cited by 3
Unlocking AI Chatbot Potential in Healthcare: Trust-Enhanced DeLone & McLean IS Success Model
Sarhan, M. Y., Alarify, M., & Khojah, M. (2026) · Healthcare · doi:10.3390/healthcare14101324 · Cited by 2
“Users with stronger intentions to use the system are more likely to develop deeper, ongoing interactions with the service, which results in increased satisfaction [94,106–109].”
Unraveling the post-adoptive hybrid learning experience: perspectives from information systems
Shah, J., Bhat, I. H., & Gundugola, S. (2024) · Information Discovery and Delivery · doi:10.1108/idd-09-2023-0101 · Cited by 2
Hernandez, A. A., Adriano, M. C. D., Peralta, C. A. U., & Dupaya, J. P. R. E. (2024) · IEEE Control and System Graduate Research Colloquium (ICSGRC) · doi:10.1109/icsgrc62081.2024.10691269 · Cited by 2
Kumar, A., Kumar, D. V. S., & Megha, R. (2025) · Health Marketing Quarterly · doi:10.1080/07359683.2025.2504811 · Cited by 5
Global online shopping as a catalyst for intercultural sensitivity: Evidence from 69 countries
Yu, Z., Gong, M., Wang, J., & Zuo, Z. (2025) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2025.124374 · Cited by 2
An Extended UTAUT Model to Explain Factors Influencing Smart City Technology Adoption
Al-Haraizah, A., Jawarneh, M. M. M., Kumar, R., Khrisat, D. A., & Mrayat, O. I. A. (2025) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/3799390 · Cited by 4
Alexa in the hotel: A study on engagement behavior towards voice-controlled hubs in luxury hotels
Jha, A. K., & Jasim, K. M. (2025) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2025.104507 · Cited by 3
Do Green Finance, Green Insurance, and Renewable Energy Really Matter for Sustainability?
Belgacem, I., Gafsi, N., Mazzitelli, D., & Ed‐Dafali, S. (2026) · Corporate Social Responsibility and Environmental Management · doi:10.1002/csr.70378 · Cited by 2
Changchit, C., Cutshall, R., Pham, L. K., & Changchit, C. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.106291 · Cited by 2
Shi, H., Wang, H., Zheng, S., Xiao, W., Ju, M., Zhao, Q., & Huang, H. (2026) · Digital Health · doi:10.1177/20552076261450812 · Cited by 2
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 ›
Are you an author, or do you see a problem with this page? Request a review