Conclusion and Implications
The objective of this research was to model generation Y's adoption of the mobile banking system and the factors that influence their use ofmobile banking. In this study, the UTAUT model was adopted. The SEM approachwas applied to test the hypotheses and investigate the interrelation among impact constructs. According to the results yielded by the study, the revised model was superior to the theoretical model.
According to the study findings, facilitating conditions and self-efficacy in mobile banking application do not exhibit a direct effect on behavioral intention; indeed, they have a positive effect on hedonic motivation. Consequently, hedonic motivation serves as a mediator between facilitating conditions, self-efficacy, and behavioral intention. In addition, security factor has a negative effect on hedonic motivation. Behavioral intention, on the other hand, is positively affected by hedonic motivation and self-efficacy.
Both direct and indirect effects were noted between selfefficacy in mobile banking application and behavioral intention. However, the findings revealed that the indirect effect between self-efficacy in mobile banking application and behavioral intention via hedonic motivation is more significant than the direct effect. By comparing the theoretical model with the revised model, we found that the percentage explaining the behavioral intention for adopting mobile banking is improved to approximately 70 percent.