Behavioural intention to use a contact tracing application: The case of StopCovid in France

Niousha Shahidi, Vesselina Tossan, Bourliataux-Lajoinie, Stéphane and Silvia Cacho-Elizondo

Journal of Retailing and Consumer Services, 2022, vol. 68, issue C

Abstract: This research aims to study citizens' intention to download and use the COVID-19 tracing app in France. The theoretical framework considered the theory of technology acceptance model, the theory of goal-directed behaviour, and the theory of privacy to explain the intention to use the COVID-19 tracing app. The methodology included an online survey to examine the theoretical model, which was tested using structural equation modelling. The results show that anticipated emotions, perceived usefulness, privacy concerns, and perceived permission sensitivity significantly contribute towards the intention to adopt the StopCovid app. Subjective norms and goal desire do not exert a direct impact. These findings provide both theoretical and practical implications by adding the extrinsic social value dimension to the analyses of the StopCovid app and presenting antecedents for enhancing its design and safety.

Keywords: Technology acceptance model; Contact tracing app; Privacy; Perceived usefulness; Subjective norms; SEM (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:joreco:v:68:y:2022:i:c:s0969698922000911

DOI: 10.1016/j.jretconser.2022.102998

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