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. © 2022 Elsevier Inc.

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.

Factors affecting business school students’ performance during the COVID-19 pandemic: A moderated and mediated model

The COVID-19 pandemic has directly influenced higher education by converting traditional face-to-face (F2F) learning to blended learning (BL). Because of this dramatic change in the academic environment, it is essential to evaluate student views and preferences and how the BL setting affects their academic performance. Therefore, the current research aims to investigate the relationship between Unified Theory of Acceptance and Use of Technology (UTAUT) constructs (performance expectancy, effort expectancy, and facilitating condition) and student academic performance through student attitude. We also examined the moderating role of trust in technology between UTAUT constructs and student performance. The study uses a sample of 1050 business management university students for mediation/moderation analysis using the Hayes Bootstrap technique. The results demonstrate that student attitude mediates the relationship between UTAUT constructs and student academic performance, with trust in technology strengthening the relationship. The study offers implications for universities and policymakers.