Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14795, first published .
Exploring the Determinants of Mobile Health Adoption by Hospitals in China: Empirical Study

Exploring the Determinants of Mobile Health Adoption by Hospitals in China: Empirical Study

Exploring the Determinants of Mobile Health Adoption by Hospitals in China: Empirical Study

Authors of this article:

Boumediene Ramdani1 Author Orcid Image ;   Binheng Duan2 Author Orcid Image ;   Ilhem Berrou3 Author Orcid Image

Journals

  1. Cunha B, Rodrigues K, Zaine I, da Silva E, Viel C, Pimentel M. Experience Sampling and Programmed Intervention Method and System for Planning, Authoring, and Deploying Mobile Health Interventions: Design and Case Reports. Journal of Medical Internet Research 2021;23(7):e24278 View
  2. Jilani M, Moniruzzaman M, Dey M, Alam E, Uddin M. Strengthening the Trialability for the Intention to Use of mHealth Apps Amidst Pandemic: A Cross-Sectional Study. International Journal of Environmental Research and Public Health 2022;19(5):2752 View
  3. Della Vecchia C, Leroy T, Bauquier C, Pannard M, Sarradon-Eck A, Darmon D, Dufour J, Preau M. Willingness of French General Practitioners to Prescribe mHealth Apps and Devices: Quantitative Study. JMIR mHealth and uHealth 2022;10(2):e28372 View
  4. Alaslawi H, Berrou I, Al Hamid A, Alhuwail D, Aslanpour Z. Diabetes Self-management Apps: Systematic Review of Adoption Determinants and Future Research Agenda. JMIR Diabetes 2022;7(3):e28153 View
  5. Kim H, Lee D, Kim K, Kim S, Park Y. Factors associated with the download and use of mobile personal health record applications in Korean hospitals. Health Informatics Journal 2023;29(3) View
  6. Anthony Jnr B. Examining the adoption of telehealth during public health emergencies based on technology organization environment framework. Journal of Science and Technology Policy Management 2023 View
  7. Lu J, Deng Q, Chen Y, Liu W. Impact of perceived ease of use, organizational support mechanism, and industry competitive pressure on physicians’ use of liver cancer screening technology in medical alliances. Frontiers in Public Health 2023;11 View
  8. Huang G, Ng S, Li D. Determinants of digital twin adoption in hospital operation management. Urban Lifeline 2023;1(1) View
  9. Altawaiha I, Atan R, Yaakob R, Abdullah R. Assessing and prioritizing crucial drivers for CloudIoT-based healthcare adoption: an analytic hierarchy process approach. International Journal of Information Technology 2024 View
  10. Bin Naeem S, Azam M, Kamel Boulos M, Bhatti R. Leveraging the TOE Framework: Examining the Potential of Mobile Health (mHealth) to Mitigate Health Inequalities. Information 2024;15(4):176 View
  11. Bhatia T, Bharathy G, Prasad M. A Targeted Review on Revisiting and Augmenting the Framework for Technology Acceptance in the Renewable Energy Context. Energies 2024;17(8):1982 View
  12. Jais R, Ngah A, Rahi S, Al-Gasawneh J. Explaining the Adoption of Chatbots: The Experience of Malaysian Government Agencies. International Journal of Public Administration 2024:1 View
  13. Jais R, Ngah A, Rahi S, Rashid A, Ahmad S, Mokhlis S. Chatbots adoption intention in public sector in Malaysia from the perspective of TOE framework. The moderated and mediation model. Journal of Science and Technology Policy Management 2024 View

Books/Policy Documents

  1. Mouloudj K, Bouarar A, Asanza D, Saadaoui L, Mouloudj S, Njoku A, Evans M, Bouarar A. Integrating Digital Health Strategies for Effective Administration. View