The roles of privacy concerns and trust in voluntary use of governmental proximity tracing applications

A growing aspect of e-government is healthcare-related. Although preventative e-health services provided by governments like proximity tracing applications (PTAs) can bring important benefits, their adoption is lagging behind expectations. Researchers and policymakers need a better understanding of the factors that influence their adoption. The paper draws from the Unified Theory of Acceptance and Use of Technology (UTAUT) model and extends it by including privacy concerns as an explanatory factor regarding the intention to use PTAs. The study empirically evaluates the impact of privacy concerns together with two of its antecedents – trust in government and trust in technology – on the intention to use a PTA. Data from 762 adult respondents from Slovenia and Germany were collected and analysed using partial least squares structural equation modelling (PLS-SEM). The main findings are: (1) even in the unique context of a PTA the universal predictors of UTAUT have a significant impact;(2) privacy concerns have a direct impact on intention to use;and (3) trust in government and trust in technology both have a significant impact on privacy concerns. The theoretical implications are important for technology adoption research on e-health services provided by the government generally and PTAs in particular.

Caregiving Situation as a Predictor of Subjective Caregiver Burden: Informal Caregivers of Older Adults during the COVID-19 Pandemic.

The COVID-19 pandemic has created and exacerbated emotional, financial, and technical challenges for informal caregivers of older people. The aim of this study was to explore the caregiving situation and subjective burden of informal caregivers of older family members during COVID-19, and to investigate how a caregiving situation's characteristics predict the subjective burden of care in times of COVID-19. The study was conducted in April and May 2021 via an online access panel. The sample (n = 612) was determined using a screening test that enabled us to focus on a Slovenian population of informal caregivers aged 40+ caring for a person aged 65+ for at least four hours/week on average. Our findings reveal that the subjective burden of care was high among informal caregivers during COVID-19. Multiple regression analysis showed that the provision of activities of daily living, care duration, average hours of care per week, formal care status, and recipients' health problems related to dementia or other memory problems significantly predicted the subjective burden of caregivers. These findings call for better recognition of the role of informal caregivers. The time and effort devoted to informal care should be supported by legislation and social security.

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.