ConclusionsIT adoption is one of the most analyzed fields in IT/IS litera-ture. Adoption models and frameworks are increasingly appliedto various individual and organizational contexts to explore fac-tors affecting specific technology’s intention to use or to the useitself. However, the influence that risk image may exert on adop-tion decisions has received limited attention. To address this gap,we contribute to adoption theory by offering a conceptual frame-work that sheds more light on the influence of perceived risk onend-user adoption of IT.Our research sought to understand the determinants of Internetbanking adoption in which we combined the UTAUT model with aperceived risk factor. Interestingly, the data describe a more com-plex picture than might have been anticipated. While we foundthat individual expectations regarding performance expectancy,effort expectancy, social influence, and perceived risk were themost important in explaining users’ intentions, facilitating condi-tions was not deemed important to explain usage. By includingperceived risk in the proposed framework we added a strongerdeterminant to predict intention to use Internet banking, and thusprovided more predictive power to existing UTAUT