This study investigates the determinants influencing the adoption and usage of e-payment systems in Brazil, emphasizing perceived usefulness, ease of use, trust, risk, incentives, and social influence. Drawing on the Technology Acceptance Model (TAM), the research surveyed 180 Brazilian users to evaluate behavioral and demographic predictors of e-payment adoption. Results from correlation and regression analyses revealed that perceived usefulness and income were the strongest predictors across multiple usage metrics—frequency, amount spent, and percentage of monthly expenses via e-payment. Perceived risk and trust were also influential, albeit to a lesser degree. Contrarily, incentives and social influence did not significantly affect adoption behavior. These findings underscore the importance of perceived value and security in shaping digital payment behaviors in emerging markets. The study contributes to the literature by refining existing models of technology acceptance and offering insights for policymakers and fintech providers aiming to enhance financial inclusion and digital adoption in Brazil.
Chen et al. (Thu,) studied this question.