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

Theme Issue (2020): Human Factors of the COVID-19 Outbreak (48) JMIR Theme Issue: COVID-19 Special Issue (2392) Ethics, Privacy, and Legal Issues (457) Outbreak and Pandemic Preparedness and Management (1678) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1484) Infectious Diseases (non-STD/STI) (1487) Theories, Models, and Frameworks in Human Factors (62)

Published on in Vol 9, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35434, first published .
Modeling Adoption, Security, and Privacy of COVID-19 Apps: Findings and Recommendations From an Empirical Study Using the Unified Theory of Acceptance and Use of Technology

Modeling Adoption, Security, and Privacy of COVID-19 Apps: Findings and Recommendations From an Empirical Study Using the Unified Theory of Acceptance and Use of Technology

Modeling Adoption, Security, and Privacy of COVID-19 Apps: Findings and Recommendations From an Empirical Study Using the Unified Theory of Acceptance and Use of Technology

Authors of this article:

Nuno Nunes1, 2 Author Orcid Image ;   Greta Adamo1 Author Orcid Image ;   Miguel Ribeiro1, 2 Author Orcid Image ;   Bruna R Gouveia2, 3, 4 Author Orcid Image ;   Elvio Rubio Gouveia1, 5 Author Orcid Image ;   Pedro Teixeira6 Author Orcid Image ;   Valentina Nisi1, 2 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

Journals

  1. Vincent W. Developing and Evaluating a Measure of the Willingness to Use Pandemic-Related mHealth Tools Using National Probability Samples in the United States: Quantitative Psychometric Analyses and Tests of Sociodemographic Group Differences. JMIR Formative Research 2023;7:e38298 View
  2. Ellmann S, Maryschok M, Schöffski O, Emmert M. The German COVID-19 Digital Contact Tracing App: A Socioeconomic Evaluation. International Journal of Environmental Research and Public Health 2022;19(21):14318 View
  3. Hong S, Cho H. The role of uncertainty and affect in decision-making on the adoption of AI-based contact-tracing technology during the COVID-19 pandemic. DIGITAL HEALTH 2023;9:205520762311698 View
  4. Kuo K. Antecedents predicting digital contact tracing acceptance: a systematic review and meta-analysis. BMC Medical Informatics and Decision Making 2023;23(1) View
  5. Fox G, van der Werff L, Rosati P, Lynn T. Investigating Citizens’ Acceptance of Contact Tracing Apps: Quantitative Study of the Role of Trust and Privacy. JMIR mHealth and uHealth 2024;12:e48700 View
  6. Magara T, Zhou Y. Security and Privacy Concerns in the Adoption of IoT Smart Homes: A User-Centric Analysis. American Journal of Information Science and Technology 2024;8(1):1 View