Wireless networks are becoming the norm in the society, where hotspots afford users access to the internet through mobile devices. Unknown wireless networks, open public networks with unknown identity, pose threats as hackers can gain unauthorized access to users' private information stored in their mobile devices. Despite the imminent dangers, individuals continue to use these networks. This study explicates a self-regulation theory to investigate the antecedents of deficient self-regulation (DSR) and its effects on habitual use of technology. We posit that both habit cues and information security experiential factors influence DSR, leading to habitual use of unknown wireless networks. The results show that perceived attachment, perceptions on privacy risk, and information security selfefficacy significantly influence DSR, which subsequently influences habitual use unknown wireless networks. This study contributes to the literature on self-regulatory theory, privacy, and provides implications for managers in dealing with vulnerabilities posed by employees using private or corporate mobile devices on unknown wireless network.

No abstract

This chapter sought to explore factors that influence e-learning adoption and use among students in higher education in Kenya. Based on UTAUT model, the study proposes that performance expectancy, effort expectancy, social influence, and facilitating conditions will influence intention to use e-learning. Additionally, the role of IT culture is explored. Performance expectancy, social influence, facilitating conditions, and IT culture were significant in predicting intention to use e-learning. Intention to use significantly predicted usage. Implications for higher education are discussed.