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This research aims to explore the impact of demographics (age, gender, education, and income) on clients’ attitudes and their intention to use the FinTech services of banks by using the TAM model, Yemen as a case study. The data for this study were collected using a questionnaire shared among 435 respondents who are clients of five Yemeni banks that provide FinTech payment services. Structural equation modeling via PLS was used to validate the model’s constructs. The results show that education and income levels have a significant negative effect on risks and a high positive effect on the perceived benefit of using FinTech to clients. Gender, income, and risks show a significant negative effect on attitude. Education, PEOU, PU, and trust all exhibit a high positive effect on the attitude of banks’ clients to using FinTech services. Finally, there is a very high positive relationship of attitude with intention. As an independent study, this research contributes to clarifying the effect of demographic factors on the use of FinTech by consumers, considering that studies in this field are minimal. In addition, it contributes to highlighting important steps for decision makers to keep pace with financial technology developments in the least developed countries in general and in Yemen in particular.
Alshari et al. (Sun,) studied this question.