Mediated and moderating variables between behavioral intentions and actual usages of fintech in the USA and Bangladesh through the extended UTAUT model

Abstract

This study explores the behavioral intentions and actual use of FinTech services in Bangladesh and the USA, utilizing an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model. It aims to examine the role of mediators, such as trust, and moderators, such as information richness, in influencing FinTech adoption. A quantitative approach was employed through online surveys, collecting 320 responses from FinTech users in both Bangladesh and the USA. Structural equation modeling (SEM) was used to analyze the data with SPSS 25 and AMOS. Trust and Effort Expectancy were found to significantly impact users' behavioral intentions to adopt FinTech services. While performance expectancy had a less significant role, information richness acted as an indirect moderator, enhancing trust and user experience. Trust and Ease of Use are critical in driving behavioral intentions toward FinTech adoption. This emphasizes the need for FinTech companies to prioritize security, transparency, and user-friendly interfaces to encourage usage, especially in emerging markets. FinTech platforms should emphasize building trust through secure features and provide comprehensive, easily accessible information. Improving user support systems and enhancing privacy policies will further aid in increasing adoption rates from the perspectives of the USA and Bangladesh.