The impact of perceived crisis severity on intention to use voluntary proximity tracing applications

Trkman, Marina (author), Popovič, Aleš (author), Trkman, Peter (author)

During a crisis such as COVID-19, governments ask citizens to adopt various precautionary behaviours, such as using a voluntary proximity tracing application (PTA) for smartphones. However, the willingness of individual citizens to use such an app is crucial. Crisis decision theory can be used to better understand how individuals assess the severity of the crisis and how they decide whether or not to adopt the precautionary behaviour. We propose a research model to examine the direct influence of perceived crisis severity on intention to use the technology, as well as the indirect impact via PTAs' benefits for citizens. Exploratory and confirmatory factor analyses confirm the two dimensions of the benefits, namely personal and societal benefits. We used PLS-MGA to evaluate our research model. The results confirm the influence of the perceived severity of COVID-19 on the intention to use the PTA, as well as the mediating effects of personal and societal benefits on this relationship. Our findings contribute to the technology adoption literature and showcase the use of crisis decision theory in the field of information systems.

• Language: English
• Keywords: informatics, artificial intelligence, COVID-19, crisis severity, tracing applications, benefits, intention to use
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: EF - School of Economics and Business
• Publication status: Published
• Publication version: Author Accepted Manuscript
• Year: 2021
• Number of pages: 16 str.
• Numbering: Vol. 61, art. 102395
• PID: 20.500.12556/RUL-129155
• UDC: 659.2:004
• ISSN on article: 0268-4012
• DOI: 10.1016/j.ijinfomgt.2021.102395
• COBISS.SI-ID: 74090755
• Publication date in RUL: 27.08.2021

Record is a part of a journal

• Title: International journal of information management
• Shortened title: Int. j. inf. manage.
• Publisher: Elsevier
• ISSN: 0268-4012
• COBISS.SI-ID: 8905221

Licences

• License: CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
• Link: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Description: The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
• Licensing start date: 13.08.2021

Projects

• Funder: ARRS - Slovenian Research Agency
• Funding programme: Raziskovalni projekt - temeljni
• Project number: J5-9329
• Name: Poslovna analitika in poslovni modeli v oskrbovalnih verigah