Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27069, first published .
A Technology Acceptance Model for Deploying Masks to Combat the COVID-19 Pandemic in Taiwan (My Health Bank): Web-Based Cross-sectional Survey Study

A Technology Acceptance Model for Deploying Masks to Combat the COVID-19 Pandemic in Taiwan (My Health Bank): Web-Based Cross-sectional Survey Study

A Technology Acceptance Model for Deploying Masks to Combat the COVID-19 Pandemic in Taiwan (My Health Bank): Web-Based Cross-sectional Survey Study

Journals

  1. Wang S, Mao J, Cao Y, Li G. Integrated knowledge content in an interdisciplinary field: identification, classification, and application. Scientometrics 2022;127(11):6581 View
  2. Anderson J, Bouchacourt L, Sussman K, Bright L, Wilcox G. Telehealth adoption during the COVID-19 pandemic: A social media textual and network analysis. DIGITAL HEALTH 2022;8:205520762210900 View
  3. Mensah I. Understanding the Drivers of Ghanaian Citizens' Adoption Intentions of Mobile Health Services. Frontiers in Public Health 2022;10 View
  4. Cheung Y, Lam P, Lam T, Lam H, Li C. Technology Acceptance Among Patients With Hemophilia in Hong Kong and Their Expectations of a Mobile Health App to Promote Self-management: Survey Study. JMIR Formative Research 2021;5(9):e27985 View
  5. Tseng C, Chen R, Tsai S, Wu T, Tsaur W, Chiu H, Yang C, Lo Y. Exploring the COVID-19 Pandemic as a Catalyst for Behavior Change Among Patient Health Record App Users in Taiwan: Development and Usability Study. Journal of Medical Internet Research 2022;24(1):e33399 View
  6. Purohit A, Chopra G, Dangwal P. Measuring the Effectiveness of the Project Management Information System (PMIS) on the Financial Wellness of Rural Households in the Hill Districts of Uttarakhand, India: An IS-FW Model. Sustainability 2022;14(21):13862 View
  7. Bağış M, Altınay L, Kryeziu L, Kurutkan M, Karaca V. Institutional and individual determinants of entrepreneurial intentions: evidence from developing and transition economies. Review of Managerial Science 2024;18(3):883 View
  8. Hanratty J, Keenan C, O'Connor S, Leonard R, Chi Y, Ferguson J, Axiaq A, Miller S, Bradley D, Dempster M. Psychological and psychosocial determinants of COVID Health Related Behaviours (COHeRe): An evidence and gap map. Campbell Systematic Reviews 2023;19(3) View
  9. Dutta B. What Motivates People to Adopt Personal Health Record? Understanding the Effect of Innovation and Context-Specific Threat on Personal Health Record Adoption Intention. International Journal of Human–Computer Interaction 2023:1 View
  10. Omar N, Che Zainal C, Abdul Rashid M, Hassan N, Abd Malek S, Abu Bakar A. Framework analysis on the adoption of digital healthcare services among senior citizens by using the extended technology acceptance model (ETAM). F1000Research 2023;12:1551 View
  11. Maaß L, Angoumis K, Freye M, Pan C. Mapping digital public health interventions in practice: A scoping review of existing digital technologies and Internet-based interventions to maintain and improve population health (Preprint). Journal of Medical Internet Research 2023 View