Abstract
The usage of Financial Technology (FINTECH) has changed how people conduct banking business. Banks may greatly increase adaptability, accessibility, inclusivity, and profitability by implementing modern technology such as big data analytics, cloud computing, and deep learning. This article examines the extent of Fin Tech awareness and usage as well as the impact of Fin Tech based on the demographic profiles of banking customers. A survey and a simple random sample procedure were used, with a questionnaire serving as the primary data source. The reliability of the data was examined using Cronbach's alpha after the data were collected using a five-point Likert scale. Chi-square, correlation, and ANOVA were used to analyze the data and make inferences. Findings showed that all of the aforementioned constructs had a substantial and favorable association with the intention to use Fin tech, and the study's conclusion shows that specific features can greatly influence how banking customers in Bengaluru City adopt and access fin tech services.
Keywords: Fin Tech, Adopt and Use of Technology, service quality and Security
References
1. Kim, Y., Park, Y. J., Choi, J, & Yeon, J. (2015). An Empirical Study on the Adoption of “Fin tech” Service: Focused on Mobile Payment Services. Advanced Science and Technology Letters, 114, 136-140
2. Eltayeb, M., & Dawson, M. (2016). Understanding User’s Acceptance of Personal Cloud Computing: Using the Technology Acceptance Model. Information Technology: New Generations, 448, 3-12.
3. Al-Dmour, H. et al. (2021). The influence of the practices of big data analytics applications on bank performance: filed study. VINaE Journal of Information and Knowledge Management Systems.
4. Yu, T.R. & Song, X. (2021). Big Data and Artificial Intelligence in the Banking Industry. in: Cheng Few Lee & John C Lee (ed.), Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning, World Scientific Publishing, pp. 4025-4041.