20.500.12556/RUL-129155 The impact of perceived crisis severity on intention to use voluntary proximity tracing applications 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. informatics artificial intelligence COVID-19 crisis severity tracing applications benefits intention to use true false true Angleški jezik Angleški jezik Članek v reviji 2021-08-27 13:42:51 2021-08-27 13:50:46 2022-09-08 04:06:55 0000-00-00 00:00:00 2021 0 0 16 str. art. 102395 Vol. 61 Dec. 2021 0000-00-00 PostprintKoncna Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 2023-08-14 659.2:004 0268-4012 10.1016/j.ijinfomgt.2021.102395 74090755 RAZ_Trkman_Marina_2021.pdf RAZ_Trkman_Marina_2021.pdf 1 71389D184AB8B99D1C25B94AF81A16E8 6678e1c7213848c593c23b9212e80ebb68387654c9fb2645a3e00902264ec308 e9846e55-0733-11ec-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=146099 https://www.sciencedirect.com/science/article/abs/pii/S0268401221000888?via%3Dihub 0 73766f72-072c-11ec-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=146097 Ekonomska fakulteta 0 0 0