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

Theoretical Frameworks and Concepts (190) Adoption and Change Management of eHealth Systems (532) Health Services Research and Health Care Utilization in Older Patients (48) E-Health / Health Services Research and New Models of Care (265) Digital Health, Telehealth and e-Innovation in Clinical Settings (275) Internet Access and Digital Technology Use in an Elderly Population (136) New Services for the Elderly (39) Digital Health Reviews (950)

Published on in Vol 24 , No 1 (2022) :January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31920, first published .
Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis

Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis

Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis

Authors of this article:

Jiyeon Yu 1 Author Orcid Image ;   Angelica de Antonio 1 Author Orcid Image ;   Elena Villalba-Mora 2, 3 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. Cao J, Kurata K, Lim Y, Sengoku S, Kodama K. Social Acceptance of Mobile Health among Young Adults in Japan: An Extension of the UTAUT Model. International Journal of Environmental Research and Public Health 2022;19(22):15156 View
  2. Östlund B, Malvezzi M, Frennert S, Funk M, Gonzalez-Vargas J, Baur K, Alimisis D, Thorsteinsson F, Alonso-Cepeda A, Fau G, Haufe F, Di Pardo M, Moreno J. Interactive robots for health in Europe: Technology readiness and adoption potential. Frontiers in Public Health 2023;11 View
  3. Yuen K, Chua J, Li X, Wang X. The determinants of users’ intention to adopt telehealth: Health belief, perceived value and self-determination perspectives. Journal of Retailing and Consumer Services 2023;73:103346 View