Contact tracing is a key public health intervention during the coronavirus pandemic. While government contact tracing apps (e.g., COVIDSafe) may enforce personal information protection, privacy concerns remain among citizens. To date, few studies have investigated the adoption of contact tracing technology and corresponding citizen information privacy concerns. To address this gap, we propose a research model to explore the impact of individual privacy concerns, trust, and risk perceptions on citizen’s willingness to download a federal contact tracing app. To test the model, we administer a survey to Australian citizens to assess their perceptions of the government’s “COVIDSafe” app. The results of this study indicate that relative advantage, compatibility and trusting beliefs increase adoption intentions. The study provides recommendations for governments tackling COVID-19 and guidance for contact tracing strategies in preparation for future pandemics.

This study explores the main determinants of social network adoption at the country level. We use the technology‐organization‐environment (TOE) framework to investigate factors influencing social network adoption. The authors use cross‐sectional data from 130 countries. The results indicate that social network adoption, at the country level, is positively influenced by the technological maturity, public readiness, and information and communication technology law sophistication. Technological, organizational, and environmental factors altogether accounted for 67% of variance in social network adoption. These findings provide a first insight into the usage of social network sites at the country level, as well as the main factors that influence public adoption. Implications for research and practice are discussed.

Insiders represent a major threat to the security of an organization’s information resources. Previous research has explored the role of dispositional and situational factors in promoting compliant behavior, but these factors have not been studied together. In this study, we use a scenario-based factorial survey approach to identify key dispositional and situational factors that lead to information security policy violation intentions. We obtained 317 observations from a diverse sample of insiders. The results of a general linear mixed model indicate that dispositional factors (particularly two personality meta-traits, Stability and Plasticity) serve as moderators of the relationships between perceptions derived from situational factors and intentions to violate information security policy. This study represents the first information security study to identify the existence of these two meta-traits and their influence on information security policy violation intentions. More importantly, this study provides new knowledge of how insiders translate perceptions into intentions based on their unique personality trait mix.

E-Government diffusion is of interest to both researchers and practitioners. The purpose of this study is to investigate electronic government maturity and its determinants. We use the Fit-Viability Framework to assess e-Government Maturity in diverse countries. We empirically test the impact of task-technology fit (TTF) and viability on e-government maturity at the country level. The results of partial least squares (PLS) analysis indicate that TTF characteristics along with a country’s viable resources and level of e-government development have a significant impact on e-government maturity. Implications for research and practice are discussed.