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Analyzing adoption of contact tracing apps using UTAUT

Kukuk, L. (2020) Analyzing adoption of contact tracing apps using UTAUT.

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Abstract:Contact tracing apps have been a highly debated topic during the COVID-19 epidemic. Recently released COVID-19 contact tracing apps have been lagging behind in terms of user adoption. As user adoption is crucial to the effectiveness of contact tracing apps, there needs to be a deeper investigation into possible influences on the user adoption of such apps. Therefore, this research will propose a modified version of the Unified Theory of Acceptance and Use of Technology (UTAUT) founded on a systematic literature review. A survey has been conducted with 134 participants based on this modified model. Performance expectancy and perceived credibility have been determined to have a significant impact on the intention to use a contract tracing app. Apart from providing receiving notifications about possible infections, current contract tracing apps appear to not provide a clear benefit to the user and are perceived as somewhat unsafe and privacy-invading. Furthermore, contact tracing apps might turn out to be a failure, as this research finds a low intention to use such apps. This research contributes to understanding user adoption of contract tracing apps and gives insights into possible improvements regarding the development and approach of such apps.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science, 70 social sciences in general
Programme:Business & IT BSc (56066)
Link to this item:http://purl.utwente.nl/essays/81983
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