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

Use and User Demographics of mHealth (344) Adoption and Change Management of eHealth Systems (731)

Published on in Vol 6, No 8 (2018): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9316, first published .
What Predicts Patients’ Adoption Intention Toward mHealth Services in China: Empirical Study

What Predicts Patients’ Adoption Intention Toward mHealth Services in China: Empirical Study

What Predicts Patients’ Adoption Intention Toward mHealth Services in China: Empirical Study

Authors of this article:

Zhaohua Deng1 Author Orcid Image ;   Ziying Hong1 Author Orcid Image ;   Cong Ren2 Author Orcid Image ;   Wei Zhang1 Author Orcid Image ;   Fei Xiang1 Author Orcid Image
Article Authors Cited by (142) Tweetations (4) Metrics

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  135. Wu C, Yang Z, Yuan Q, Zhang H. Helping others is helping oneself: A mixed-methods investigation of antecedents driving consumer engagement in the value co-creation of mHealth platforms. International Journal of Information Management 2025;81:102867 View

Books/Policy Documents

  1. Schomakers E, Vervier L, Ziefle M. Human Aspects of IT for the Aged Population. Healthy and Active Aging. View
  2. Sampat B, Sharma A, Prabhakar B. Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. View
  3. Mouloudj K, Bouarar A, Asanza D, Saadaoui L, Mouloudj S, Njoku A, Evans M, Bouarar A. Integrating Digital Health Strategies for Effective Administration. View
  4. Haverinen J, Suominen J, Kaksonen R, Veikkolainen P, Voutilainen M, Reponen J, Röning J, Falkenbach P. Digital Health and Wireless Solutions. View