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The impact of perceived crisis severity on intention to use voluntary proximity tracing applications
Trkman, Marina (Avtor), Popovič, Aleš (Avtor), Trkman, Peter (Avtor)

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URLURL - Izvorni URL, za dostop obiščite https://www.sciencedirect.com/science/article/abs/pii/S0268401221000888?via%3Dihub Povezava se odpre v novem oknu

Izvleček
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.

Jezik:Angleški jezik
Ključne besede:informatics, artificial intelligence, COVID-19, crisis severity, tracing applications, benefits, intention to use
Vrsta gradiva:Članek v reviji (dk_c)
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:EF - Ekonomska fakulteta
Leto izida:2021
Št. strani:16 str.
Številčenje:Vol. 61, art. 102395
UDK:659.2:004
ISSN pri članku:0268-4012
DOI:10.1016/j.ijinfomgt.2021.102395 Povezava se odpre v novem oknu
COBISS.SI-ID:74090755 Povezava se odpre v novem oknu
Število ogledov:194
Število prenosov:4
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Gradivo je del revije

Naslov:International journal of information management
Skrajšan naslov:Int. j. inf. manage.
Založnik:Elsevier
ISSN:0268-4012
COBISS.SI-ID:8905221 Povezava se odpre v novem oknu

Gradivo je financirano iz projekta

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Program financ.:Raziskovalni projekt - temeljni
Številka projekta:J5-9329
Naslov:Poslovna analitika in poslovni modeli v oskrbovalnih verigah

Licence

Licenca:CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.
Začetek licenciranja:13.08.2021

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