Theory of Planned Behavior and Perceived Behavioral Control, How Attitudes and Social Influence acts as a Determinant of Fintech Adoption Behavior

Abstract

Financial technology (FinTech) has emerged as a transformative force in global financial systems, reshaping how individuals access, manage, and invest in financial services. Despite its growing relevance worldwide, adoption in Pakistan remains limited, with consumers displaying cautious attitudes and varying levels of trust in digital platforms. This study investigates the determinants of FinTech adoption in Pakistan by focusing on attitude, social influence, and perceived behavioral control as independent variables, perceived security risk as a contextual factor, behavioral intention as a mediator, and adoption behavior as the outcome. Grounded in the Theory of Planned Behavior (TPB), the study extends prior research by examining whether adoption is driven primarily by individual evaluations, social expectations, or perceptions of risk.
Data were collected through a structured survey administered to 400 active FinTech users across major Pakistani cities. The analysis employed Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS to test the measurement and structural models. The results reveal that attitude and perceived behavioral control significantly influence behavioral intention, which in turn strongly predicts adoption behavior. Conversely, social influence was not found to be a significant predictor of intention, highlighting the private and individualistic nature of financial decision-making in Pakistan.The findings contribute to theory by clarifying the boundary conditions of TPB in emerging economies and offer practical implications for policymakers and FinTech service providers. The study recommends enhancing consumer trust, improving user experience, and launching targeted literacy campaigns to accelerate FinTech adoption in Pakistan.