Published on in Vol 7, No 9 (2019): September
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/13127, first published
.
Journals
- Alabdullah J, Van Lunen B, Claiborne D, Daniel S, Yen C, Gustin T. Application of the unified theory of acceptance and use of technology model to predict dental students’ behavioral intention to use teledentistry. Journal of Dental Education 2020;84(11):1262 View
- Park H, Kim K, Soh J, Hyun Y, Jang S, Lee S, Hwang G, Kim H. Factors Influencing Acceptance of Personal Health Record Apps for Workplace Health Promotion: Cross-Sectional Questionnaire Study. JMIR mHealth and uHealth 2020;8(6):e16723 View
- González Bravo L, Fernández Sagredo M, Torres Martínez P, Barrios Penna C, Fonseca Molina J, Stanciu I, Nistor N. Psychometric analysis of a measure of acceptance of new technologies (UTAUT), applied to the use of haptic virtual simulators in dental students. European Journal of Dental Education 2020;24(4):706 View
- Erlita U, Priyanto . Analysis of Acceptance of Vocational High School e-Report in Temanggung District Using the UTAUT Model (Unified Theory of Acceptance and Use of Technology). Journal of Physics: Conference Series 2021;1737(1):012023 View
- Vinnikova A, Lu L, Wei J, Fang G, Yan J. The Use of Smartphone Fitness Applications: The Role of Self-Efficacy and Self-Regulation. International Journal of Environmental Research and Public Health 2020;17(20):7639 View
- Azizi S, Roozbahani N, Khatony A. Factors affecting the acceptance of blended learning in medical education: application of UTAUT2 model. BMC Medical Education 2020;20(1) View
- Chayomchai A. The Online Technology Acceptance Model of Generation-Z People in Thailand during COVID-19 Crisis. Management & Marketing. Challenges for the Knowledge Society 2020;15(s1):496 View
- Ferreira Barbosa H, García-Fernández J, Pedragosa V, Cepeda-Carrion G. The use of fitness centre apps and its relation to customer satisfaction: a UTAUT2 perspective. International Journal of Sports Marketing and Sponsorship 2022;23(5):966 View
- Mitchell K, Holtz B, McCarroll A. Assessing College Students' Perceptions of and Intentions to Use a Mobile App for Mental Health. Telemedicine and e-Health 2022;28(4):566 View
- Yang Y, Koenigstorfer J. Determinants of Fitness App Usage and Moderating Impacts of Education-, Motivation-, and Gamification-Related App Features on Physical Activity Intentions: Cross-sectional Survey Study. Journal of Medical Internet Research 2021;23(7):e26063 View
- Olamijuwon E, Odimegwu C. Sexuality Education in the Digital Age: Modelling the Predictors of Acceptance and Behavioural Intention to Access and Interact with Sexuality Information on Social Media. Sexuality Research and Social Policy 2022;19(3):1241 View
- van der Waal N, de Wit J, Bol N, Ebbers W, Hooft L, Metting E, van der Laan L. Predictors of contact tracing app adoption: Integrating the UTAUT, HBM and contextual factors. Technology in Society 2022;71:102101 View
- Alwahaishi S. Student Use of E-Learning During the Coronavirus Pandemic. International Journal of Distance Education Technologies 2021;19(4):72 View
- Yang Y, Yu Z. Examining Users' Sustained Attention to Online Learning by Modifying a UTAUT Model of Rain Classroom. International Journal of Online Pedagogy and Course Design 2022;12(1):1 View
- Baer N, Vietzke J, Schenk L, Jutai J. Middle-aged and older adults’ acceptance of mobile nutrition and fitness apps: A systematic mixed studies review. PLOS ONE 2022;17(12):e0278879 View
- Fossouo Tagne J, Yakob R, Mcdonald R, Wickramasinghe N. Linking Activity Theory Within User-Centered Design: Novel Framework to Inform Design and Evaluation of Adverse Drug Reaction Reporting Systems in Pharmacy. JMIR Human Factors 2023;10:e43529 View
- Guo J, Chupradit S. Influencing Factors of College Students’ Use of Sports Apps in Mandatory Situations: Based on UTAUT and SDT. BioMed Research International 2022;2022:1 View
- Larnyo E, Dai B, Larnyo A, Nutakor J, Ampon-Wireko S, Nkrumah E, Appiah R. Impact of Actual Use Behavior of Healthcare Wearable Devices on Quality of Life: A Cross-Sectional Survey of People with Dementia and Their Caregivers in Ghana. Healthcare 2022;10(2):275 View
- Gulec H, Smahel D. Individual and Parental Factors of Adolescents’ mHealth App Use: Nationally Representative Cross-sectional Study. JMIR mHealth and uHealth 2022;10(12):e40340 View
- Stephen Addai-Dansoh , Dr. Ebenezer Larnyo1 , Francisca Arboh , Dr. Jonathan Aseye Nutakor , Jeremiah Osei-Kwakye , Priscilla Yeboah Boahemaa . Understanding the Predictors of Actual Use Behavior of Medical Devices among Kenyans post-COVID-19. The Moderating Effects of Technology Anxiety and Resistance to Change. International Journal of Scientific Research in Science, Engineering and Technology 2022:114 View
- Xu L, Li P, Hou X, Yu H, Tang T, Liu T, Xiang S, Wu X, Huang C. Middle-aged and elderly users’ continuous usage intention of health maintenance-oriented WeChat official accounts: empirical study based on a hybrid model in China. BMC Medical Informatics and Decision Making 2021;21(1) View
- Wu W, Zhang B, Li S, Liu H. Exploring Factors of the Willingness to Accept AI-Assisted Learning Environments: An Empirical Investigation Based on the UTAUT Model and Perceived Risk Theory. Frontiers in Psychology 2022;13 View
- Baysari M, Dort B, Zheng W, Li L, Hilmer S, Westbrook J, Day R. Prescribers’ reported acceptance and use of drug-drug interaction alerts: An Australian survey. Health Informatics Journal 2022;28(2):146045822211006 View
- Wang C, Wu G, Zhou X, Lv Y. An Empirical Study of the Factors Influencing User Behavior of Fitness Software in College Students Based on UTAUT. Sustainability 2022;14(15):9720 View
- Zha H, Liu K, Tang T, Yin Y, Dou B, Jiang L, Yan H, Tian X, Wang R, Xie W. Acceptance of clinical decision support system to prevent venous thromboembolism among nurses: an extension of the UTAUT model. BMC Medical Informatics and Decision Making 2022;22(1) View
- Bäuerle A, Frewer A, Rentrop V, Schüren L, Niedergethmann M, Lortz J, Skoda E, Teufel M. Determinants of Acceptance of Weight Management Applications in Overweight and Obese Individuals: Using an Extended Unified Theory of Acceptance and Use of Technology Model. Nutrients 2022;14(9):1968 View
- Ma Y, Zhou M, Yu W, Zou Z, Ge P, Ma Z, Tong Y, Li W, Li Q, Li Y, Zhu S, Sun X, Wu Y. Using the Unified Theory of Acceptance and Use of Technology (UTAUT) and e-health literacy(e-HL) to investigate the tobacco control intentions and behaviors of non-smoking college students in China: a cross-sectional investigation. BMC Public Health 2023;23(1) View
- Koo J, Park Y, Kang D. Factors Predicting Older People’s Acceptance of a Personalized Health Care Service App and the Effect of Chronic Disease: Cross-Sectional Questionnaire Study. JMIR Aging 2023;6:e41429 View
- Stehr P, Ermel L, Rossmann C, Reifegerste D, Lindemann A, Schulze A. A Mobile Health Information Behavior Model: Theoretical Development and Mixed-Method Testing in the Context of Mobile Apps on Child Poisoning Prevention. Journal of Health Communication 2023;28(10):648 View
- Pedersen K, Schlichter B. Improving Predictability and Effectiveness in Preventive Digital Health Interventions: Scoping Review. Interactive Journal of Medical Research 2023;12:e40205 View
- Aydin G. Increasing mobile health application usage among Generation Z members: evidence from the UTAUT model. International Journal of Pharmaceutical and Healthcare Marketing 2023;17(3):353 View
- López-Sánchez J, Patiño-Vanegas J, Valencia-Arias A, Valencia J. Use and adoption of ICTs oriented to university student learning: Systematic review using PRISMA methodology. Cogent Education 2023;10(2) View
- Amorim P, Paiva J, Silva de Lima J, Portugal da Fonseca L, Martins H, Silva P. Lessons learned from investigating patients’ and physiotherapists’ perspectives on the design of a telerehabilitation platform. Disability and Rehabilitation: Assistive Technology 2024;19(6):2377 View
- Methlagl M, Mairhofer S, Michlmayr F. Exploring technology acceptance patterns of users of the mixed-reality sport technology Zwift: antecedents and consequences of technology acceptance. Universal Access in the Information Society 2024 View
- Tang X, Hanif M, Haider N, Rizwan A, Khurshid A. From Friends to Feedback: Effect of Social Influence on Mobile Shopping in the Post-COVID Era. Sustainability 2024;16(12):5134 View
- Naik R, Fehervari M, Ali R, Hazell G, Kutaiman T, Singh R, Vijayanarasimhan R, Mylonas G, Ashrafian H, Darzi A. Perceptions of cognitive workload measurement using multimodal sensors in surgery. Global Surgical Education - Journal of the Association for Surgical Education 2024;3(1) View
- Baca G, Zhushi G. Assessing attitudes and impact of AI integration in higher education. Higher Education, Skills and Work-Based Learning 2024 View
Books/Policy Documents
- Nordin N, Nordin N, Nordin N, Nordin N, Ewan E. Financial Technology (FinTech), Entrepreneurship, and Business Development. View
- Tirosh O, Zelcer J, Wickramasinghe N. Digital Disruption in Health Care. View
- Gan C, Liew T, Moganadas S. Proceedings of the International Conference on Advancing and Redesigning Education 2023. View