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

Physician and Health Services Rating by Consumers (128) Recruitment of Research Participants (296) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) eHealth Literacy / Digital Literacy (390)

Published on in Vol 24, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37505, first published .
The Impact of Social Influence on the Intention to Use Physician Rating Websites: Moderated Mediation Analysis Using a Mixed Methods Approach

The Impact of Social Influence on the Intention to Use Physician Rating Websites: Moderated Mediation Analysis Using a Mixed Methods Approach

The Impact of Social Influence on the Intention to Use Physician Rating Websites: Moderated Mediation Analysis Using a Mixed Methods Approach

Authors of this article:

Bernhard Guetz1 Author Orcid Image ;   Sonja Bidmon1 Author Orcid Image
Article Authors Cited by (10) Tweetations (8) Metrics

Journals

  1. Guetz B, Bidmon S. The Credibility of Physician Rating Websites: A Systematic Literature Review. Health Policy 2023;132:104821 View
  2. Morena N, Zelt N, Nguyen D, Dionne E, Rentschler C, Greyson D, Meguerditchian A. The Use of Web-Based Patient Reviews to Assess Medical Oncologists’ Competency: Mixed Methods Sequential Explanatory Study. JMIR Formative Research 2023;7:e39857 View
  3. Konerding U. The Problem of Investigating Causal Relationships Between Cognitive and Evaluative Variables. Journal of Medical Internet Research 2023;25:e45570 View
  4. Guetz B, Bidmon S. Authors’ Reply: “The Problem of Investigating Causal Relationships Between Cognitive and Evaluative Variables”. Journal of Medical Internet Research 2023;25:e52877 View
  5. Han X, Lin Y, Han W, Liao K, Mei K. Effect of Negative Online Reviews and Physician Responses on Health Consumers’ Choice: Experimental Study. Journal of Medical Internet Research 2024;26:e46713 View
  6. Cao J, Feng H, Lim Y, Kodama K, Zhang S. How Social Influence Promotes the Adoption of Mobile Health among Young Adults in China: A Systematic Analysis of Trust, Health Consciousness, and User Experience. Behavioral Sciences 2024;14(6):498 View
  7. Chen C, Lee W. Exploring Nurses' Behavioural Intention to Adopt AI Technology: The Perspectives of Social Influence, Perceived Job Stress and Human–Machine Trust. Journal of Advanced Nursing 2024 View
  8. Changalima I, Amani D, Ismail I. Social influence and information quality on Generative AI use among business students. The International Journal of Management Education 2024;22(3):101063 View
  9. Makararpong D, Boonprasop C, Jantarat J. Intention to Use Online Platform and Application for Funeral Comprehensive Services for Deceased Relatives via Smartphone in Thailand. International Journal of E-Services and Mobile Applications 2024;16(1):1 View

Books/Policy Documents

  1. Schwarz-Musch A, Tauchhammer A, Guetz B. Digitale Werbung in der Post-Cookie-Ära. View