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'SPREAD THE APP, NOT THE VIRUS’ – AN EXTENSIVE SEM-APPROACH TO UNDERSTAND PANDEMIC TRACING APP USAGE IN GERMANY

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Authors

The release of the Corona-Warn-App (CWA), a governmental pandemic tracing app to track infection chains related to COVID-19 in Germany, marks an unprecedented situation that offers a unique opportunity for investigating population-wide adoption of novel technology. We develop a conceptual model to investigate the effects and path relationships of multiple constructs related to technology adoption, data security, morality, social influence, trust, and COVID-19 to predict behavioral intentions and actual usage behavior. We use structural equation modelling with the partial least squares method and identify effort expectancy, social influence, prevailing opinions on COVID-19 and the CWA, as well as moral and ethical considerations as the most influential predictors. We are able to explain moderate to high amounts of variance with our model. Our results offer valuable insights for the technology ac- ceptance literature and enable practical recommendations for improving the public communication and elevating user numbers of pandemic tracing apps in Germany.
Original languageEnglish
Title of host publicationECIS 2021 Proceedings : Human Values Crisis in a Digitizing World
EditorsAssociation for Information Systems (AIS)
PublisherAIS eLibrary
Publication date11.05.2021
Article number1655
ISBN (electronic)978-1-7336325-6-0
Publication statusPublished - 11.05.2021
EventEuropean Conference on Information Systems: Human Values Crisis in a Digitizing World - Marrakesch, Marrakesch, Morocco
Duration: 14.06.2021 → 16.06.2021
https://www.ecis2021.com/

Bibliographical note

ECIS 2021 Proceedings Collection: Research Papers, Beitrag 123

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