Privacy concerns and digital government: exploring citizen willingness to adopt the COVIDSafe app

Jiesen Lin, Lemuria Carter and Dapeng Liu

European Journal of Information Systems, 2021, vol. 30, issue 4, 389-402

Abstract: Contact tracing is a key public health intervention during the coronavirus pandemic. While government contact tracing apps (e.g., COVIDSafe) may enforce personal information protection, privacy concerns remain among citizens. To date, few studies have investigated the adoption of contact tracing technology and corresponding citizen information privacy concerns. To address this gap, we propose a research model to explore the impact of individual privacy concerns, trust, and risk perceptions on citizen’s willingness to download a federal contact tracing app. To test the model, we administer a survey to Australian citizens to assess their perceptions of the government’s “COVIDSafe” app. The results of this study indicate that relative advantage, compatibility and trusting beliefs increase adoption intentions. The study provides recommendations for governments tackling COVID-19 and guidance for contact tracing strategies in preparation for future pandemics.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/0960085X.2021.1920857 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tjisxx:v:30:y:2021:i:4:p:389-402

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjis20

DOI: 10.1080/0960085X.2021.1920857

Access Statistics for this article

European Journal of Information Systems is currently edited by Par Agerfalk

More articles in European Journal of Information Systems from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().