Pandemic Containment with Digital Measures : Acceptance and Privacy Aspects of Contact Tracing Apps

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Reith, Riccardo ; Fortagne, Marius Arved ; Diel, Sören ; Buck, Christoph ; Lis, Bettina ; Eymann, Torsten:
Pandemic Containment with Digital Measures : Acceptance and Privacy Aspects of Contact Tracing Apps.
In: Proceedings of the 29th European Conference on Information Systems (ECIS). - Marrakech, Morocco , 2021

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Abstract

In the unique context of an ongoing pandemic, this study aims to investigate the acceptance of contact tracing applications (CTA) proposed by the German government before its release in June 2020. The study develops and validates a research model based on established acceptance, privacy-, and health-related theories. The results of the structural equation model (N=584) indicate that performance expectancy, social influence, privacy concerns, and anxiety explain about 75% of the variance of the intention to use CTA. Most remarkably, privacy concerns represent the dominating barrier, whereas effort expectancy, contrary to previous acceptance research, did not significantly affect the dependent intentions of using CTA. In addition to these rational concerns, anxiety was confirmed as an emotional predictor in the proposed research model. Consequently, the results both strengthen and contradict established theory, offering valuable insights for research and institutions in charge of distributing the app.