Abstract
This study aimed to determine the drivers of mobile payment FinTech adoption. The study was conducted with 306 generation Y (Gen Y) and generation Z (Gen Z) FinTech users, and data were analyzed using structural equation modelling (SEM) through partial least squares and analysis of variance (ANOVA). The present study investigates some interesting and novel associations among variables that contribute to the literature, such as the mediating effect of effort expectancy, facilitating condition, performance expectancy and social influence between the association of financial literacy and behavioural intention, and investigates the unified theory of acceptance and use of technology (UTAUT) constructs (effort expectancy, facilitating condition, performance expectancy and social influence), technology acceptance model 3 (TAM 3) constructs (perceived enjoyment and self-efficacy), financial literacy and demographic features as drivers of FinTech adoption. The results indicate that effort expectancy, performance expectancy, facilitating conditions, financial literacy and self-efficacy are strong drivers of FinTech adoption. Perceived enjoyment and social influence do not influence users’ behavioural intention to adopt mobile payment services. JEL Codes: G41, O30, O31, 033
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
