This paper is in the following e-collection/theme issue:

mHealth for Wellness, Behavior Change and Prevention (2754) Innovations and Technology for Physical Activity Education (703) Usability of Apps and User Perceptions of mHealth (902)

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 .
Using the Unified Theory of Acceptance and Use of Technology (UTAUT) to Investigate the Intention to Use Physical Activity Apps: Cross-Sectional Survey

Using the Unified Theory of Acceptance and Use of Technology (UTAUT) to Investigate the Intention to Use Physical Activity Apps: Cross-Sectional Survey

Using the Unified Theory of Acceptance and Use of Technology (UTAUT) to Investigate the Intention to Use Physical Activity Apps: Cross-Sectional Survey

Authors of this article:

Di Liu1, 2 Author Orcid Image ;   Remina Maimaitijiang1 Author Orcid Image ;   Jing Gu1, 3 Author Orcid Image ;   Shuyi Zhong1 Author Orcid Image ;   Mengping Zhou1 Author Orcid Image ;   Ziyue Wu1 Author Orcid Image ;   Ao Luo1 Author Orcid Image ;   Cong Lu1 Author Orcid Image ;   Yuantao Hao1, 3 Author Orcid Image
Article Authors Cited by (38) Tweetations (2) Metrics

Journals

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  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
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