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感知到的危机严重程度对使用自愿性近距离追踪应用程序意愿的影响。

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

作者信息

Trkman Marina, Popovič Aleš, Trkman Peter

机构信息

University of Ljubljana, School of Economics and Business, Kardeljeva ploščad 17, 1000 Ljubljana, Slovenia.

NEOMA Business School, 1 Rue du Maréchal Juin, 76130 Mont-Saint-Aignan, France.

出版信息

Int J Inf Manage. 2021 Dec;61:102395. doi: 10.1016/j.ijinfomgt.2021.102395. Epub 2021 Aug 13.

Abstract

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 . 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.

摘要

在诸如新冠疫情这样的危机期间,政府要求公民采取各种预防行为,比如使用智能手机的自愿性近距离追踪应用程序(PTA)。然而,公民个人使用此类应用程序的意愿至关重要。危机决策理论可用于更好地理解个体如何评估危机的严重程度,以及他们如何决定是否采取预防行为。我们提出一个研究模型,以检验感知到的危机严重程度对使用该技术意愿的直接影响,以及通过……产生的间接影响。探索性和验证性因素分析证实了益处的两个维度,即个人益处和社会益处。我们使用偏最小二乘多组分析(PLS-MGA)来评估我们的研究模型。结果证实了对新冠疫情严重程度的感知对使用PTA意愿的影响,以及个人和社会益处在此关系中的中介作用。我们的研究结果对技术采纳文献有所贡献,并展示了危机决策理论在信息系统领域的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/508e/9756014/896236fd75d9/gr1_lrg.jpg

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