The correlational analysis revealed some correlation coefficients of above .80, This suggested the possibility of multicollinearity due to the high correlation among predictors. An exploratory factor analysis was therefore conducted (Kutner, Nachtsheim, Neter, & Li, 2004), using principal axis factoring and direct oblimin rotation to assist with the interpretation of results. The results from this analysis suggested five factors: relative advantage, complexity, trialability, observability and intention to use. One item from complexity and all four items from compatibility showed double loading, and were removed from the research model. That is, compatibility was not identified as a single factor. According to Moore and Benbasat (1991