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Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model.

Felix Velicia-MartinJuan-Pedro Cabrera-SanchezEloy Gil-CorderoPedro R Palos-Sánchez
Published in: PeerJ. Computer science (2021)
This study shows that the extended TAM model which was used has a high explanatory power. Users believe that the APP is useful (especially users who studied in higher education), that it is easy to use, and that it is not a cause of concern for privacy. The highest acceptance of the app is found in over 35 years old's, which is the group that is most aware of the possibility of being affected by COVID-19. The information is unbelievably valuable for developers and governments as users would be willing to use the APP.
Keyphrases
  • coronavirus disease
  • sars cov
  • healthcare
  • machine learning
  • quality improvement
  • big data
  • social media