Individuals' privacy concerns and adoption of contact tracing mobile applications in a pandemic: A situational privacy calculus perspective

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dc.contributor.authorHassandoust, Farkhondeh
dc.contributor.authorAkhlaghpour, Saeed
dc.contributor.authorJohnston, Allen C.
dc.contributor.otherAuckland University of Technology
dc.contributor.otherUniversity of Queensland
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.date.accessioned2023-09-28T19:31:07Z
dc.date.available2023-09-28T19:31:07Z
dc.date.issued2021
dc.description.abstractObjective: The study sought to develop and empirically validate an integrative situational privacy calculus model for explaining potential users' privacy concerns and intention to install a contact tracing mobile application (CTMA). Materials and Methods: A survey instrument was developed based on the extant literature in 2 research streams of technology adoption and privacy calculus. Survey participants (N = 853) were recruited from all 50 U.S. states. Partial least squares structural equation modeling was used to validate and test the model. Results: Individuals' intention to install a CTMA is influenced by their risk beliefs, perceived individual and societal benefits to public health, privacy concerns, privacy protection initiatives (legal and technical protection), and technology features (anonymity and use of less sensitive data). We found only indirect relationships between trust in public health authorities and intention to install CTMA. Sex, education, media exposure, and past invasion of privacy did not have a significant relationship either, but interestingly, older people were slightly more inclined than younger people to install a CTMA. Discussion: Our survey results confirm the initial concerns about the potentially low adoption rates of CTMA. Our model provides public health agencies with a validated list of factors influencing individuals' privacy concerns and beliefs, enabling them to systematically take actions to address these identified issues, and increase CTMA adoption. Conclusions: Developing CTMAs and increasing their adoption is an ongoing challenge for public health systems and policymakers. This research provides an evidence-based and situation-specific model for a better understanding of this theoretically and pragmatically important phenomenon.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.citationHassandoust, F., Akhlaghpour, S., & Johnston, A. C. (2020). Individuals’ privacy concerns and adoption of contact tracing mobile applications in a pandemic: A situational privacy calculus perspective. In Journal of the American Medical Informatics Association (Vol. 28, Issue 3, pp. 463–471). Oxford University Press (OUP). https://doi.org/10.1093/jamia/ocaa240
dc.identifier.doi10.1093/jamia/ocaa240
dc.identifier.urihttps://ir.ua.edu/handle/123456789/11355
dc.languageEnglish
dc.language.isoen_US
dc.publisherOxford University Press
dc.subjectprivacy concerns
dc.subjectsituational privacy calculus
dc.subjectcontact tracing application
dc.subjectINFORMATION PRIVACY
dc.subjectE-COMMERCE
dc.subjectTECHNOLOGY
dc.subjectMODEL
dc.subjectACCEPTANCE
dc.subjectTRUST
dc.subjectSTRATEGY
dc.subjectComputer Science, Information Systems
dc.subjectComputer Science, Interdisciplinary Applications
dc.subjectHealth Care Sciences & Services
dc.subjectInformation Science & Library Science
dc.subjectMedical Informatics
dc.titleIndividuals' privacy concerns and adoption of contact tracing mobile applications in a pandemic: A situational privacy calculus perspectiveen_US
dc.typeArticle
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