MEASUREMENT OF USERS ACCEPTANCE OF SELECTED FINANCIAL TECHNOLOGY PRODUCTS AND SERVICES

Purpose: The goal of this study is to determine the degree to which users accept particular financial technology products and services by taking into account a variety of variables, including frequency of use, level of awareness, satisfaction, motivation for using fintech, satisfaction with that motivation, and behavioural intention to use fintech.   Theoretical Framework: There is relatively little literature now accessible to examine the degree of consumer acceptance of Financial Technology products and services. The field of financial technology still requires a lot of research and education, though.   Design/Methodology/Approach: A comprehensive evaluation of the literature served as the basis for the research design. Data gathering techniques include non-probability sampling (quota sampling). Users of particular Financial Technology products and services are queried using a standardised questionnaire to gather data. The 13 districts of Andhra Pradesh state were used as the source of the samples.   Findings: The data is analysed using techniques such as regression and Anova. The frequency of use, level of satisfaction, level of awareness, the intended use of the Fintech, the satisfaction with the intended use and the user's behavioural intention to use the Fintech all statistically significantly correlate with the user's level of acceptance in using the chosen Financial Technology products and services.   Research, Practical & Social implications:  This study determined the degree to which users accepted particular Financial Technology goods and services from diverse angles.   Originality/Value: This study aims to identify and quantify the effects of numerous variables on users' degree of acceptability of Fintech, including frequency of use, awareness and satisfaction levels, as well as the use of Fintech for specific purposes and behavioural intentions. Internet banking, NEFT, RTGS, IMPS, mobile banking, electronic wallets, stock trading applications, peer-to-peer lending applications, crowd funding, cash deposit machines, ATMs, and credit rating applications are the 12 Financial Technology products used in the study