Incorporating UTAUT Predictors for Understanding Home Care Patients' and Clinician's Acceptance of Healthcare Telemedicine Equipment
Open accessAbstract
Telemedicine programs within health care are experiencing significant growth as healthcare organizations seek to reduce expenditures and improve efficiency.The high costs of treating chronic diseases, compounded by an aging population, has given focus to creating technology-enabled alternatives to support, enhance, or expand patient services.As investments in telemedicine products and services grow at a rapid pace, user technology acceptance has become a key issue in successful implementation.Drawing from the Unified Theory of Acceptance in Technology (UTAUT), this study investigated the predictors of behavioral intention to use Telehealth equipment by patients, clinicians, and agency personnel at Henry Ford e-Home Health Care.Survey data were provided by 126 participants recruited from an eligible population who were either currently using the Telehealth equipment or were familiar with it.Structural equation modeling was used to study the overall fit of the UTAUT model in predicting behavioral intention.Participant type, self-efficacy, anxiety and attitude were tested as moderators.Implications for increasing adoption of Telehealth technology are discussed.
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Self-efficacy has a strong relationship with users' intention to use healthcare technologies.
“self-efficacy, as it has a strong relationship with users’ intention to use healthcare technologies [19]”
From Factors Affecting User’s Behavioral Intention and Use of a Mobile-Phone-Delivered Cognitive Behavioral Therapy for Insomnia: A Small-Scale UTAUT Analysis (2021) · cites this paper as [19]
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Cites
Yaşlı Kadınlarda Üreme Sağlığı
Kokanalı, D., & Engin Üstün, Y. (n.d.) · DergiPark (Istanbul University) · Cited by 170,090 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737 · see citing works
Multiple regression: testing and interpreting interactions
(1992) · Choice Reviews Online · doi:10.5860/choice.29-3352 · Cited by 36,644 · see citing works
(1980) · Medical Entomology and Zoology · Cited by 25,810 · see citing works
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066 · see citing works
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150 · see citing works
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815 · see citing works
Computer Self-Efficacy: Development of a Measure and Initial Test
Compeau, D. R., & Higgins, C. A. (1995) · MIS Quarterly · doi:10.2307/249688 · Cited by 6,553 · see citing works
Mathieson, K. (1991) · Information Systems Research · doi:10.1287/isre.2.3.173 · Cited by 4,216 · see citing works
A Brief Tutorial on the Development of Measures for Use in Survey Questionnaires
Hinkin, T. R. (1998) · Organizational Research Methods · doi:10.1177/109442819800100106 · Cited by 4,095 · see citing works
Personal Computing: Toward a Conceptual Model of Utilization1
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991) · MIS Quarterly · doi:10.2307/249443 · Cited by 3,814 · see citing works
Kaplan, B., DeGross, J. I., Wood-Harper, A. T., Wastell, D. G., & Truex, D. P., III (2004) · IFIP International Federation for Information Processing/IFIP · doi:10.1007/b115738 · Cited by 3,136 · see citing works
User Acceptance of Information Technology: Toward a Unified View
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · Cited by 3,068 · see citing works
Moderation in Management Research: What, Why, When, and How
Dawson, J. (2013) · Journal of Business and Psychology · doi:10.1007/s10869-013-9308-7 · Cited by 3,029 · see citing works
Pavlou, P. A., & Fygenson, M. (2006) · MIS Quarterly · doi:10.2307/25148720 · Cited by 2,685 · see citing works
The Technology Acceptance Model: Its past and its future in health care
Holden, R. J., & Karsh, B.-T. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2009.07.002 · Cited by 2,669 · see citing works
Integrating TTF and UTAUT to explain mobile banking user adoption
Zhou, T., Lu, Y., & Wang, B. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.01.013 · Cited by 1,696 · see citing works
Explaining the Role of User Participation in Information System Use
Hartwick, J., & Barki, H. (1994) · Management Science · doi:10.1287/mnsc.40.4.440 · Cited by 1,540 · see citing works
Kellerman, H., & Burry, A. (2007) · Springer eBooks · doi:10.1007/978-0-387-71370-0_12 · Cited by 1,016 · see citing works
Key Issues in Information Systems Management: 1994-95 SIM Delphi Results1
Brancheau, J. C., Janz, B. D., & Wetherbe, J. C. (1996) · MIS Quarterly · doi:10.2307/249479 · Cited by 706 · see citing works
Factors affecting engineers’ acceptance of asynchronous e-learning systems in high-tech companies
Ong, C., Lai, J., & Wang, Y. (2003) · Information & Management · doi:10.1016/j.im.2003.08.012 · Cited by 650 · see citing works
Using a modified technology acceptance model in hospitals
AGGELIDIS, V, & CHATZOGLOU, P. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2008.06.006 · Cited by 553 · see citing works
The Use of the UTAUT Model in the Adoption of E-Government Services in Kuwait
AlAwadhi, S. A., & Morris, A. (2008) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2008.452 · Cited by 488 · see citing works
Pavlou, P. A., & Fygenson, M. (2006) · SSRN Electronic Journal · Cited by 353 · see citing works
Or, C. K., Karsh, B., Severtson, D. J., Burke, L. J., Brown, R., & Brennan, P. F. (2010) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2010.007336 · Cited by 310 · see citing works
Individual differences and usage behavior
Burton‐Jones, A., & Hubona, G. S. (2005) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/1066149.1066155 · Cited by 294 · see citing works
Factors Associated With Closures of Emergency Departments in the United States
Hsia, R. Y.-J., Kellermann, A. L., & Shen, Y. (2011) · JAMA · doi:10.1001/jama.2011.620 · Cited by 228 · see citing works
Outcomes of community health worker interventions.
(2009) · PubMed Central · Cited by 182 · see citing works
The Drivers for Acceptance of Tablet PCs by Faculty in a College of Business
Anderson, J. E., Schwager, P. H., & Kerns, R. L. (2006) · Journal of the Association for Information Systems · Cited by 158 · see citing works
Elias, S. M., Smith, W. L., & Barney, C. E. (2010) · Behaviour and Information Technology · doi:10.1080/0144929x.2010.513419 · Cited by 156 · see citing works
SME ADOPTION OF WIRELESS LAN TECHNOLOGY: APPLYING THE UTAUT MODEL
Anderson, J. E., & Schwager, P. H. (2003) · Journal of the Association for Information Systems · Cited by 141 · see citing works
EXAMINING HEALTHCARE PROFESSIONALS' ACCEPTANCE OF ELECTRONIC MEDICAL RECORDS USING UTAUT
(2008) · Issues in Information Systems · doi:10.48009/2_iis_2008_396-401 · Cited by 137 · see citing works
Telemedicine can lower costs and improve access.
Charles, B. L. (2000) · PubMed · Cited by 122 · see citing works
Thakur, R. (2013) · Business Perspectives and Research · doi:10.1177/2278533720130203 · Cited by 103 · see citing works
Using Mobile Health to Support the Chronic Care Model: Developing an Institutional Initiative
Nundy, S., Dick, J. J., Goddu, A. P., Hogan, P. C., Lu, C.-Y. E., Solomon, M. C., Bussie, A., Chin, M. H., & Peek, M. E. (2012) · International Journal of Telemedicine and Applications · doi:10.1155/2012/871925 · Cited by 49 · see citing works
Consumer health informatics: Health information technology for consumers
Jimison, H. B., & Sher, P. P. (1995) · Journal of the American Society for Information Science · doi:10.1002/(sici)1097-4571(199512)46:10 · Cited by 33 · see citing works
A Randomized Trial of Telemonitoring Heart Failure Patients
Tompkins, C. P., & Orwat, J. (2010) · Journal of Healthcare Management · doi:10.1097/00115514-201009000-00005 · Cited by 32 · see citing works
Sinacore, J. M. (1993) · Evaluation Practice · doi:10.1177/109821409301400208 · Cited by 30 · see citing works
Theoretical Models in IS Research and the Technology Acceptance Model (TAM)
Leong, L. (2003) · IGI Global eBooks · doi:10.4018/978-1-93177-748-3.ch001 · Cited by 27 · see citing works
Zai, A., Ronquillo, J. G., Nieves, R., Chueh, H. C., Kvedar, J. C., & Jethwani, K. (2013) · International Journal of Telemedicine and Applications · doi:10.1155/2013/305819 · Cited by 25 · see citing works
Technologies & Methodologies for Evaluating Information Technology in Business
(2000) · IGI Global eBooks · doi:10.4018/978-1-93177-748-3 · Cited by 10 · see citing works
Telemedicine: Patient demand, cost containment drive growth
Hertz, B. T. (2013) · Medical economics · Cited by 4 · see citing works
Flagged first, then by citations
3 of the 48 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- MARKUS, M.L. & Keil, M. (1994). If we build it, they will come: Designing information systems that people want to use. Sloan Management Review, 35(4), 11-25.
- BANDURA, A. (1994). Self-efficacy. In V.S. Ramachaudran (Ed.), Encyclopedia of human behavior (Vol. 4, pp.71-81). New York: Academic Press.
Cited by
Sorted by citations
Telemedicine for Healthcare: Capabilities, Features, Barriers, and Applications
Haleem, A., Javaid, M., Singh, R. P., & Suman, R. (2021) · Sensors International · doi:10.1016/j.sintl.2021.100117 · Cited by 1,638 · see citing works
Kamal, S. A., Shafiq, M., & Kakria, P. (2019) · Technology in Society · doi:10.1016/j.techsoc.2019.101212 · Cited by 959 · see citing works
Analyzing older users’ home telehealth services acceptance behavior—applying an Extended UTAUT model
Cimperman, M., Brenčić, M. M., & Trkman, P. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.03.002 · Cited by 634 · see citing works
Arfi, W. B., Nasr, I. B., Kondrateva, G., & Hikkerova, L. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120688 · Cited by 290 · see citing works
Rouidi, M., Elouadi, A., Hamdoune, A., Choujtani, K., & Chati, A. (2022) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2022.101008 · Cited by 236 · see citing works
Smart home: Highly-educated students' acceptance
Baudier, P., Ammi, C., & Deboeuf-Rouchon, M. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.06.043 · Cited by 195 · see citing works
Persada, S. F., Ardiansyahmiraja, B., & Nadlifatin, R. (2019) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v14i05.9993 · Cited by 145 · see citing works
Factors that affect health information technology adoption by seniors: A systematic review.
Kavandi, H., & Jaana, M. (2020) · Health and Social Care in the community · doi:10.1111/hsc.13011 · Cited by 127 · see citing works
Patients’ perceptions of teleconsultation during COVID-19: A cross-national study
Baudier, P., Kondrateva, G., Ammi, C., Chang, V. I. C., & Schiavone, F. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120510 · Cited by 143 · see citing works
Towards reinforcing telemedicine adoption amongst clinicians in Nigeria
Adenuga, K. I., Iahad, N. A., & Miskon, S. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.05.008 · Cited by 120 · see citing works
Kummer, T., Recker, J., & Bick, M. (2016) · Information & Management · doi:10.1016/j.im.2016.04.002 · Cited by 105 · see citing works
Use and the Users of a Patient Portal: Cross-Sectional Study
Hoogenbosch, B., Postma, J., Ginkel, J. M. D. M., Tiemessen, N. A., van Delden, J. J. M., & van Os‐Medendorp, H. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9418 · Cited by 107 · see citing works
Baudier, P., Kondrateva, G., Ammi, C., Chang, V. I. C., & Schiavone, F. (2022) · Technovation · doi:10.1016/j.technovation.2022.102547 · Cited by 120 · see citing works
Factors influencing the acceptance of healthcare information technologies: A meta-analysis
Chong, A. Y., Blut, M., & Zheng, S. (2022) · Information & Management · doi:10.1016/j.im.2022.103604 · Cited by 98 · see citing works
Dingel, J., Kleine, A., Cecil, J., Sigl, A., Lermer, E., & Gaube, S. (2024) · Journal of Medical Internet Research · doi:10.2196/57224 · Cited by 104 · see citing works
An, M. H., You, S. C., Park, R. W., & Lee, S. (2021) · JMIR Medical Informatics · doi:10.2196/25435 · Cited by 84 · see citing works
Li, L., Peng, W., & Rheu, M. (2023) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2023.0313 · Cited by 96 · see citing works
He, K., Zhang, J., & Zeng, Y. (2020) · Energy Policy · doi:10.1016/j.enpol.2020.111373 · Cited by 71 · see citing works
The future of Telemedicine Cabin? The case of the French students’ acceptability
Baudier, P., Kondrateva, G., & Ammi, C. (2020) · Futures · doi:10.1016/j.futures.2020.102595 · Cited by 69 · see citing works
New Evidence-Based Therapies for Complex Diabetic Foot Wounds
Boulton, A., Armstrong, D., Londahl, M., Frykberg, R., Game, F., Edmonds, M., Orgill, D., Kramer, K., Gurtner, G., Januszyk, M., et al. (2022) · ADA Clinical Compendia · doi:10.2337/db2022-02 · Cited by 66 · see citing works
More trust or more risk? User acceptance of artificial intelligence virtual assistant
Xiong, Y., Shi, Y., Pu, Q., & Liu, N. (2023) · Human Factors and Ergonomics in Manufacturing & Service Industries · doi:10.1002/hfm.21020 · Cited by 70 · see citing works
van Bussel, M. J. P., Odekerken–Schröder, G. J., Ou, C., Swart, R. R., & Jacobs, M. J. G. (2022) · BMC Health Services Research · doi:10.1186/s12913-022-08189-7 · Cited by 60 · see citing works
“While testing the acceptance of telemedicine equipment, all four factors of the UTAUT (performance expectancy, effort expectancy, social influence and facilitating conditions) were found to predict behavioral intention [55].”
BackgroundValtolina, S., & Hu, L. (2021) · Biannual Conference of the Italian SIGCHI Chapter (CHItaly) · doi:10.1145/3464385.3464726 · Cited by 63 · see citing works
Liu, K., Or, C. K., So, M. K. P., Cheung, B. M. Y., Chan, B. K. P., Tiwari, A., & Tan, J. (2021) · Applied Ergonomics · doi:10.1016/j.apergo.2021.103667 · Cited by 62 · see citing works
The Changing Paradigm of Health and Mobile Phones
Nisha, N., Iqbal, M., & Rifat, A. (2018) · Journal of Global Information Management · doi:10.4018/jgim.2019010102 · Cited by 59 · see citing works
Fitrianie, S., Horsch, C., Beun, R. J., Griffioen-Both, F., & Brinkman, W.-P. (2021) · Journal of Medical Systems · doi:10.1007/s10916-021-01785-w · Cited by 57 · see citing works
“They are: (1) self-efficacy , as it has a strong relationship with users’ intention to use healthcare technologies [19]; (2) trust , as it influences users’ intention to use health information systems [20]; and (4) anxiety , as it was a significant predictor for users’ intention to use information…”
BackgroundPevnick, J. M., Fuller, G., Duncan, R. G., & Spiegel, B. M. R. (2016) · PLoS ONE · doi:10.1371/journal.pone.0165908 · Cited by 57 · see citing works
A meta-analysis of e-health applications acceptance
Chauhan, S., & Jaiswal, M. P. (2017) · Journal of Enterprise Information Management · doi:10.1108/jeim-08-2015-0078 · Cited by 57 · see citing works
Macdonald, E. M., Perrin, B. M., & Kingsley, M. I. (2018) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x17699990 · Cited by 53 · see citing works
Kokorelias, K. M., Nelson, M. L. A., Tang, T., Gray, C. S., Ellen, M., Plett, D., Jarach, C. M., Nie, J. X., Thavorn, K., & Singh, H. (2022) · JMIR Aging · doi:10.2196/35925 · Cited by 49 · see citing works
Bervell, B., Nyagorme, P., & Arkorful, V. (2020) · Contemporary Educational Technology · doi:10.30935/cedtech/8317 · Cited by 55 · see citing works
Ahadzadeh, A. S., Wu, S. L., Ong, F. S., & Deng, R. (2021) · Journal of Medical Internet Research · doi:10.2196/28086 · Cited by 46 · see citing works
Upadhyay, N., Kamble, A. A., & Navare, A. V. (2023) · Government Information Quarterly · doi:10.1016/j.giq.2022.101800 · Cited by 40 · see citing works
Taheri, F., D’Haese, M., Fiems, D., & Azadi, H. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.122075 · Cited by 39 · see citing works
Macdonald, E. M., Perrin, B., Hyett, N., & Kingsley, M. (2019) · Journal of Foot and Ankle Research · doi:10.1186/s13047-019-0340-3 · Cited by 39 · see citing works
Barua, Z., & Barua, A. (2021) · Journal of Enabling Technologies · doi:10.1108/jet-08-2020-0030 · Cited by 37 · see citing works
Teacher's acceptance toward cloud-based learning technology in Covid-19 pandemic era
Utami, I. Q., Fahmiyah, I., Ningrum, R. A., Fakhruzzaman, M. N., Pratama, A. I., & Triangga, Y. M. (2022) · Journal of Computers in Education · doi:10.1007/s40692-021-00214-8 · Cited by 36 · see citing works
Mueller, M., Knop, M., Niehaves, B., & Adarkwah, C. C. (2020) · JMIR Medical Informatics · doi:10.2196/20813 · Cited by 34 · see citing works
Determinants of Telehealth Continuance Intention: A Multi-Perspective Framework
Hsieh, H.-L., Lai, J.-M., Chuang, B.-K., & Tsai, C.-H. (2022) · Healthcare · doi:10.3390/healthcare10102038 · Cited by 42 · see citing works
Campbell, J., Theodoros, D., Russell, T. G., Gillespie, N. A., & Hartley, N. (2019) · Australian Journal of Rural Health · doi:10.1111/ajr.12519 · Cited by 34 · see citing works
Health Care Providers’ Acceptance of a Personal Health Record: Cross-sectional Study
Yousef, C. C., Salgado, T. M., Farooq, A., Burnett, K., McClelland, L. E., Esba, L. C. A., Alhamdan, H. S., Khoshhal, S., Aldossary, I., Alyas, O. A., et al. (2021) · Journal of Medical Internet Research · doi:10.2196/31582 · Cited by 33 · see citing works
Nisha, N., Iqbal, M., Rifat, A., & Idrish, S. (2015) · International Journal of Asian Business and Information Management · doi:10.4018/ijabim.2015010101 · Cited by 31 · see citing works
Bervell, B., Umar, I. N., Kumar, J. A., Somuah, B. A., & Arkorful, V. (2021) · SAGE Open · doi:10.1177/21582440211040073 · Cited by 31 · see citing works
Sarosa, S. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.11.106 · Cited by 30 · see citing works
Intelligent plantar pressure offloading for the prevention of diabetic foot ulcers and amputations
Hemler, S. L., Ntella, S. L., Jeanmonod, K., Köchli, C., Tiwari, B., Civet, Y., Perriard, Y., & Pataky, Z. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1166513 · Cited by 30 · see citing works
Reese, T. J., Schlechter, C. R., Kramer, H., Kukhareva, P., Weir, C. R., Fiol, G. D., Caverly, T. J., Hess, R., Flynn, M. C., Taft, T., et al. (2021) · Translational Behavioral Medicine · doi:10.1093/tbm/ibab115 · Cited by 31 · see citing works
Satisfaction and performance expectations for the adoption of the metaverse in tourism SMEs
Chaves, P. L., Gil‐Cordero, E., García, A. N., & Maldonado-López, B. (2024) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2024.100535 · Cited by 33 · see citing works
eHealth in Egypt: The demand-side perspective of implementing electronic health records
Badran, M. F. (2019) · Telecommunications Policy · doi:10.1016/j.telpol.2019.01.003 · Cited by 29 · see citing works
Information Technology in Nursing Education: Perspectives of Student Nurses
Singh, F., & Masango, T. (2020) · The Open Nursing Journal · doi:10.2174/1874434602014010018 · Cited by 30 · see citing works
Shi, J., Yan, X., Wang, M., Lei, P., & Yu, G.-J. (2021) · Frontiers in Pediatrics · doi:10.3389/fped.2021.745687 · Cited by 23 · see citing works
A modified UTAUT2 for the study of telemedicine adoption
Kwateng, K. O., Darko-Larbi, O., & Amanor, K. (2022) · International Journal of Healthcare Management · doi:10.1080/20479700.2022.2088068 · Cited by 27 · see citing works
Sousa, J., Raja, P. V., Huskamp, H. A., Mehrotra, A., Busch, A. B., Barnett, M. L., & Uscher‐Pines, L. (2022) · Journal of Addiction Medicine · doi:10.1097/adm.0000000000001006 · Cited by 27 · see citing works
Moon, H., Cheon, J., Lee, J., Banda, D. R., Griffin-Shirley, N., & Ajuwon, P. (2020) · Universal Access in the Information Society · doi:10.1007/s10209-020-00757-0 · Cited by 25 · see citing works
Atten, M. N. V. D.-V., de Groot, C. P. G. M., Romea, A. C., Schwartz, S., de Vries, J. H. M., & Haveman‐Nies, A. (2018) · Public Health Nutrition · doi:10.1017/s1368980018002185 · Cited by 25 · see citing works
Cobelli, N., & Blasi, S. (2024) · European Journal of Innovation Management · doi:10.1108/ejim-06-2023-0497 · Cited by 24 · see citing works
What Determines the Acceptance and Use of eHealth by Older Adults in Poland?
Rój, J. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192315643 · Cited by 25 · see citing works
Rouidi, M., Elmajid, E. A., Hamdoune, A., & Choujtani, K. (2023) · Healthcare Technology Letters · doi:10.1049/htl2.12042 · Cited by 27 · see citing works
Consumer Behavioral Intention of Adopting Emerging Healthcare Technology
Wei, X., Peng, X., & Prybutok, V. R. (2022) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2022.3140952 · Cited by 20 · see citing works
Nisha, N., Iqbal, M., & Rifat, A. (2020) · International Journal of Technology and Human Interaction · doi:10.4018/ijthi.2020040106 · Cited by 20 · see citing works
Antecedents of blockchain adoption in the poultry supply chain: An extended UTAUT model
Adaryani, R. L., Palouj, M., Karbasioun, M., Asadı, A., Gholami, H., Kianirad, A., & Damirchi, M. J. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123309 · Cited by 19 · see citing works
Yang, J., Song, L., Yao, X., Qian, C., Cheng, Z., & Ke, X. (2020) · Journal of Healthcare Engineering · doi:10.1155/2020/5834532 · Cited by 19 · see citing works
Valencia-Arías, A., Gallegos, A., Bravo, V. D. C. A., Mori, F. L. V., Uribe-Bedoya, H., & Palacios-Moya, L. (2024) · Cogent Social Sciences · doi:10.1080/23311886.2024.2306712 · Cited by 18 · see citing works
Bîlbîie, A., Puiu, A.-I., Mihăilă, V., & Burcea, M. (2024) · Healthcare · doi:10.3390/healthcare12151531 · Cited by 21 · see citing works
Huang, H., Chen, Z., Cao, S., Xiao, M., Xie, L., & Zhao, Q. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.687048 · Cited by 17 · see citing works
Design of a Chatbot to Assist the Elderly
Valtolina, S., & Marchionna, M. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-79840-6_10 · Cited by 17 · see citing works
Improving Healthcare with Wearables: Overcoming the Barriers to Adoption
Sergueeva, K., & Shaw, N. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-58481-2_17 · Cited by 17 · see citing works
Macdonald, E. M., Perrin, B., & Kingsley, M. (2020) · Journal of Foot and Ankle Research · doi:10.1186/s13047-020-00396-x · Cited by 16 · see citing works
Macdonald, E. M., Perrin, B., Cleeland, L., & Kingsley, M. (2021) · Sensors · doi:10.3390/s21123984 · Cited by 16 · see citing works
Technology acceptance of digital devices for home use: Qualitative results of a mixed methods study
Graeber, J., Warmerdam, E., Aufenberg, S., Bull, C., Davies, K., Dixon, J., Emmert, K., Judd, C., Maetzler, C., Reilmann, R., et al. (2023) · Digital Health · doi:10.1177/20552076231181239 · Cited by 15 · see citing works
Factors Influencing Seniors’ Anxiety in Using ICT
Reid, M., Aleti, T., Figueiredo, B., Sheahan, J., Hjorth, L., Martin, D. M., & Buschgens, M. (2024) · Social Sciences · doi:10.3390/socsci13090496 · Cited by 15 · see citing works
Analysis of barriers and benefits associated with e-health technology applications
Calegari, L. P., & Fettermann, D. C. (2022) · Journal of technology management & innovation · doi:10.4067/s0718-27242022000400106 · Cited by 15 · see citing works
The role of commercial banks in green banking adoption: a Bangladesh perspective
Iqbal, M., Suviitawat, A., Nisha, N., & Rifat, A. (2016) · International Journal of Green Economics · doi:10.1504/ijge.2016.10002862 · Cited by 15 · see citing works
Vadillo, L., Martín-Ruiz, M.-L., Pau, I., Melguizo, R. C., & Valero, M. Á. (2017) · Journal of Sensors · doi:10.1155/2017/8972350 · Cited by 15 · see citing works
Petzel, Z. W., & Sowerby, L. (2025) · Computers in Human Behavior · doi:10.1016/j.chb.2025.108563 · Cited by 14 · see citing works
Yu, J., Zhang, T., Liu, Z., Hatab, A. A., & Lan, J. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17010375 · Cited by 13 · see citing works
Rego, N., Pereira, H. S., & Crispim, J. (2021) · JMIR Human Factors · doi:10.2196/27873 · Cited by 14 · see citing works
The quest for wellness: How to optimise self‐care strategies for diabetic foot management?
Pouwer, F., Perrin, B., Lavender, A., Najafi, B., Ismail, K., & Vileikytė, L. (2023) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3751 · Cited by 14 · see citing works
Acceptance of telerehabilitation in chronic pain: the patients' perspective
Cranen, K. (2018) · doi:10.3990/1.9789036545556 · Cited by 14 · see citing works
Blind indoor navigation app for enhancing accessible tourism in smart cities
Theodorou, P., Meliones, A., Tsiligkos, K., & Sfakianakis, M. (2024) · The Tourist Review · doi:10.1108/tr-02-2024-0123 · Cited by 12 · see citing works
Haynes, S. C., Pallin, R., Tong, K. L., Henderson, S., & Romano, P. S. (2020) · Heart & Lung · doi:10.1016/j.hrtlng.2020.01.011 · Cited by 13 · see citing works
Hung, W.-H. J., Hsieh, P., & Huang, Y.-D. (2018) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v19i4.3854 · Cited by 12 · see citing works
Kooij, L., Vos, P. J. E., Dijkstra, A., Roovers, L., & van Harten, W. H. (2021) · JMIR Formative Research · doi:10.2196/20779 · Cited by 12 · see citing works
Plohl, N., & Babić, N. Č. (2024) · Human Technology · doi:10.14254/1795-6889.2024.20-1.5 · Cited by 11 · see citing works
Broek, S. R. V. D., Bagot, K. L., Arthurson, L., Cadilhac, D. A.-M., & Stolwyk, R. J. (2021) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acab086 · Cited by 11 · see citing works
The Acceptability of Telemedicine Cabins by the Students
Baudier, P., Ammi, C., & Kondrateva, G. (2021) · Journal of Innovation Economics & Management · doi:10.3917/e.jie.pr1.0075 · Cited by 11 · see citing works
Status of Telenursing and Future Use Intentions in Home Health Care in the Post-COVID-19 Era
Park, Y., Heo, H., & Woo, K. (2024) · Home Health Care Management & Practice · doi:10.1177/10848223241228435 · Cited by 10 · see citing works
Meraya, A. M., Khardali, A., Ahmad, S., Hoshaibari, A. Z., Alameer, A. A., Jaafari, R. Y., Thaibah, H. A., Alfarhan, M., & Syed, M. H. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1542974 · Cited by 12 · see citing works
Dugan, S., Schwab, S. M., Seward, R., Avant, J., Zhang, T., Li, S. R., Eary, K. J., Mast, T. D., Riley, M. A., & Boyce, S. (2023) · American Journal of Speech-Language Pathology · doi:10.1044/2023_ajslp-22-00194 · Cited by 10 · see citing works
Haldane, V., Tan, Y., Teo, K., Koh, J. J. K., Srivastava, A., Cheng, R., Yap, Y., Ong, P.-S., van Dam, R. V., Foo, J. M., et al. (2019) · JMIR mHealth and uHealth · doi:10.2196/11108 · Cited by 12 · see citing works
Hailu, D. T., Melaku, M. Y., Abebe, S. A., Walle, A. D., Tilahun, K. N., & Gashu, K. D. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1469365 · Cited by 11 · see citing works
Garg, A. (2021) · International Journal of Hospitality and Tourism Systems · Cited by 8 · see citing works
Dwiputranti, M. I., Oktora, R. A., Okdinawati, L., & Fauzan, M. N. (2019) · Gadjah Mada International Journal of Business · doi:10.22146/gamaijb.39199 · Cited by 8 · see citing works
An investigation of the consumer’s trusting mechanism in emerging healthcare technology
Wei, X., Xie, H., Peng, X., & Prybutok, V. R. (2020) · Industrial Management & Data Systems · doi:10.1108/imds-06-2020-0321 · Cited by 8 · see citing works
Fetaji, M. (2023) · SAR Journal - Science and Research · doi:10.18421/sar63-06 · Cited by 7 · see citing works
Zhang, Q., & Liang Ma, A. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2366015 · Cited by 9 · see citing works
Sharka, R. M., Sedayo, L., Aldahwani, S., Alyamani, L., Budayri, R., & Qari, A. H. (2023) · Cureus · doi:10.7759/cureus.46016 · Cited by 7 · see citing works
Acceptance of telehealth in the Kingdom of Saudi Arabia: an application of the UTAUT model
Almojaibel, A. A., AlAbdulKader, A. M., Al‐Bsheish, M., Aldhahir, A. M., Alghamdi, S. M., Almaghlouth, F., Alqahtani, A. S., Alqahtani, J. S., Alqurashi, Y. D., Alsubaiei, M. E., et al. (2025) · Clinical eHealth · doi:10.1016/j.ceh.2025.08.002 · Cited by 6 · see citing works
Sahan, F., Gutermuth, A., Müller, J. A., Muth, T., Panitz, K., & Apolinário-Hagen, J. (2026) · BMC Health Services Research · doi:10.1186/s12913-026-14005-3 · Cited by 6 · see citing works
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 · see citing works
Rudawska, I., Krot, K., & Porada-Rochoń, M. (2024) · Human Technology · doi:10.14254/1795-6889.2024.20-1.6 · Cited by 6 · see citing works
- Authors
- Kohnke, A., Cole, M. L., & Bush, R.
- Affiliations
- Lawrence Technological University (US)
- ORCID
- Cole, Matthew L
- Venue
- Journal of technology management & innovation
- Published
- 2014-07
- Volume
- 9
- Issue
- 2
- Pages
- 29-41
- ISSN
- 0718-2724 (ISSN-L)
- OpenAlex
- W2079189354
- Cited by
- 181
- References
- 48
- Citations by year
- 2026: 10 · 2025: 13 · 2024: 28 · 2023: 17 · 2022: 25 · 2021: 30 · 2020: 18 · 2019: 10 · 2018: 10 · 2017: 8 · 2016: 10 · 2015: 2
- FWCI
- 6.60
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Journal of technology management & innovation (publishedVersion, cc-by)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
- Americanae (AECID Library) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Redalyc (Universidad Autónoma del Estado de México) (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Demography › Technology Use by Older Adults
- Keywords
- home care patients, clinicians, behavioral intention, self-efficacy, anxiety, attitudes, home health care
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