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 against using CTA, whereas anxiety could be confirmed as a pandemic-related driver of CTA use. In contrast to the established variables of UTAUT, effort expectancy did not reveal a significant impact on CTA acceptance. Consequently, the results both strengthen and contradict established theory, offering valuable insights for research and institutions in charge of distributing the app.
Reith, Riccardo; Fortagne, Marius Arved; Diel, Soeren; Buck, Christoph; Lis, Bettina; and Eymann, Torsten, "Pandemic Containment With Digital Measures: Acceptance And Privacy Aspects Of Contact Tracing Apps" (2021). ECIS 2021 Research Papers. 6.
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