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

Theme Issue: Human Factors of the COVID-19 Outbreak (65) JMIR Theme Issue: COVID-19 Special Issue (2510) Ethics, Privacy, and Legal Issues (566) Outbreak and Pandemic Preparedness and Management (1792) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1537) Infectious Diseases (non-STD/STI) (1671) Theories, Models, and Frameworks in Human Factors (87)

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 (13) 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 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
  7. Alnsour Y, Juma’h A. The effect of political environment on security and privacy of contact tracing apps evaluation. International Journal of Public Sector Management 2024;37(7):864 View
  8. Mensah I, Zhao T. Factors driving the acceptance of COVID-19 pandemic mobile contact tracing apps: The influence of security and privacy concerns. Heliyon 2024;10(20):e39086 View
  9. Ramachandran S, Ugokwe C, Latiff K, Ibrahim M. Continued innovation beyond COVID-19 crisis: toward mitigating the challenges in the tourism and hospitality industry. Journal of Tourism Futures 2024 View
  10. Bharathi S, Patil K, Pramod D. Freedom from Feardom-Harnessing Women Empowerment through Personal Safety Mobile Applications. Journal of Information & Knowledge Management 2024;23(06) View
  11. Pigera S, van Schaik P, Renaud K, Campbell M, Manley P, Esser P. Privacy and Security in Digital Health Contact-Tracing: A Narrative Review. Applied Sciences 2025;15(2):865 View

Conference Proceedings

  1. Pratama A, Mukaromah S, Idhom M, Ningtyas S, Parlika R, Suryantari P. 2024 IEEE 10th Information Technology International Seminar (ITIS). Career Center Application as Centralization of Career Development: An Empirical Investigation Using the Unified Theory of Acceptance and Use of Technology (UTAUT) Model View
  2. Smith G, Chapman K, Weng T, Hao H, Mondal M, Smith S, Chen Y, Page X. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. A House Divided: How U.S. Politics Could Shape Contact-Tracing Adoption in Future Pandemics View