Published on in Vol 8, No 10 (2020): October
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/16911, first published
.
Journals
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- Schretzlmaier P, Hecker A, Ammenwerth E. Extension of the Unified Theory of Acceptance and Use of Technology 2 model for predicting mHealth acceptance using diabetes as an example: a cross-sectional validation study. BMJ Health & Care Informatics 2022;29(1):e100640 View
- Palos-Sanchez P, Saura J, Rios Martin M, Aguayo-Camacho M. Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study. JMIR mHealth and uHealth 2021;9(9):e27021 View
- Li C, Li Y. Factors Influencing Public Risk Perception of Emerging Technologies: A Meta-Analysis. Sustainability 2023;15(5):3939 View
- Fitri Kinasih Husnul Khotimah , Fahmi I, Sri Hartono . The Antecedents of Intention to Use Telemedicine. Journal of Consumer Sciences 2022;7(2):97 View
- Dias S, Oikonomidis Y, Diniz J, Baptista F, Carnide F, Bensenousi A, Botana J, Tsatsou D, Stefanidis K, Gymnopoulos L, Dimitropoulos K, Daras P, Argiriou A, Rouskas K, Wilson-Barnes S, Hart K, Merry N, Russell D, Konstantinova J, Lalama E, Pfeiffer A, Kokkinopoulou A, Hassapidou M, Pagkalos I, Patra E, Buys R, Cornelissen V, Batista A, Cobello S, Milli E, Vagnozzi C, Bryant S, Maas S, Bacelar P, Gravina S, Vlaskalin J, Brkic B, Telo G, Mantovani E, Gkotsopoulou O, Iakovakis D, Hadjidimitriou S, Charisis V, Hadjileontiadis L. Users' Perspective on the AI-Based Smartphone PROTEIN App for Personalized Nutrition and Healthy Living: A Modified Technology Acceptance Model (mTAM) Approach. Frontiers in Nutrition 2022;9 View
- Albastaki Y. Assessing the perceived usability of an intelligent contact tracing app to prevent the spread of COVID-19 using SUS and TAM: be aware Bahrain. Journal of Decision Systems 2024;33(2):293 View
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- Kang H, Han J, Kwon G. The Acceptance Behavior of Smart Home Health Care Services in South Korea: An Integrated Model of UTAUT and TTF. International Journal of Environmental Research and Public Health 2022;19(20):13279 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
- Grimm M, Link E, Albrecht M, Czerwinski F, Baumann E, Suhr R. Exploring Functions and Predictors of Digital Health Engagement Among German Internet Users: Survey Study. Journal of Medical Internet Research 2023;25:e44024 View
- Papathanail I, Abdur Rahman L, Brigato L, Bez N, Vasiloglou M, van der Horst K, Mougiakakou S. The Nutritional Content of Meal Images in Free-Living Conditions—Automatic Assessment with goFOODTM. Nutrients 2023;15(17):3835 View
- Rouleau G, Wu K, Ramamoorthi K, Boxall C, Liu R, Maloney S, Zelmer J, Scott T, Larsen D, Wijeysundera H, Ziegler D, Bhatia S, Kishimoto V, Steele Gray C, Desveaux L. Mapping Theories, Models, and Frameworks to Evaluate Digital Health Interventions: Scoping Review. Journal of Medical Internet Research 2024;26:e51098 View
- Zhang M, Fabus M, Zhang Y. RESEARCH ON CONSUMERS’ INTENDED USAGE OF COLD CHAIN LOGISTICS SERVICE THROUGH FRESH-FOOD APPS BASED ON THE STRUCTURAL EQUATIONS MODEL. Business: Theory and Practice 2024;25(1):61 View
- Manaf Z, Rosli M, Noor N, Jamil N, Mazri F, Shahar S. Exploring dietitians’ views on digital nutrition educational tools in Malaysia: a qualitative study. Nutrition Research and Practice 2024;18(2):294 View
- Harun Z, Muhammad N, Hussein Z, Fikri A, Abdul A. Factors influencing patients’ intention to use the Health Clinic Online Appointment System app. Information Management and Business Review 2024;16(2(I)):53 View
- Chen Y, Yuan J, Shi L, Zhou J, Wang H, Li C, Dong E, Zhao L. Understanding the Role of Technology Anxiety in the Adoption of Digital Health Technologies (DHTs) by Older Adults with Chronic Diseases in Shanghai: An Extension of the Unified Theory of Acceptance and Use of Technology (UTAUT) Model. Healthcare 2024;12(14):1421 View
- Patra E, Kokkinopoulou A, Wilson-Barnes S, Hart K, Gymnopoulos L, Tsatsou D, Solachidis V, Dimitropoulos K, Rouskas K, Argiriou A, Lalama E, Csanalosi M, Pfeiffer A, Cornelissen V, Decorte E, Dias S, Oikonomidis Y, María Botana J, Leoni R, Russell D, Mantovani E, Aleksić M, Brkić B, Hassapidou M, Pagkalos I. Personal Goals, User Engagement, and Meal Adherence within a Personalised AI-Based Mobile Application for Nutrition and Physical Activity. Life 2024;14(10):1238 View
- Chong C, Makmor-Bakry M, Hatah E, Mohd Tahir N, Mustafa N, Capule F, Hermansyah A. Factors infuencing type 2 diabetes mellitus patients’ readiness, acceptance and barriers towards mobile apps adoption for medication adherence. International Journal of Diabetes in Developing Countries 2024 View
Books/Policy Documents
- Antolín-Prieto R, Ruiz-Lacaci N, Reyes-Menendez A. Management and Marketing for Improved Competitiveness and Performance in the Healthcare Sector. View
- Sarasa-Cabezuelo A. Data Intelligence and Cognitive Informatics. View
- Haridi H, Alsaleh S, Alzabin S, Almasabi M, Almakrami A, Al-Swedan A, Aman A. Proceedings of Seventh International Congress on Information and Communication Technology. View
- Aljabali R, Ahmad N. Advances on Intelligent Computing and Data Science. View