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

A Review of Women Employees' Work-Life Balance Satisfaction with Reference to AP State Higher Academic Institutions

Purpose: The primary goal of this study is to assess how satisfied women employees in institutes of higher learning are with their balance between work and personal life. To better understand women employees' work-life balance satisfaction, this study looked at an array of aspects, including demographics, family-related factors, and other organizational and work-related procedures.   Theoretical framework: There is a wealth of empirical research available to assess the work-life balance satisfaction of female employees in academic institutions. Higher education has seen several advancements, such as the introduction of online learning systems, but more research is needed.   Design/Methodology/Approach: An evaluation of the exhaustive survey of the literature that was employed in the research design. A data collection tool, such as a questionnaire, is employed, as well as a non-probability sampling technique, such as the Snow ball sampling technique. A standard questionnaire is used to collect data. The information was gathered from respondents in the Indian state of Andhra Pradesh.   Findings: In order to analyze the data, various statistical techniques such as Anova, Regression, and the Cronbach's alpha test are used. Employees' delight with their work-life balance is influenced by their age, marital status, experience, career, and family size. The income and classification level of employees have an adverse effect on their work-life balance enjoyment.   Research, Practical &social implication: This study evaluated the work-life balance of female employees at higher education institutions from a number of perspectives.   Originality/Value: The objective of this research is to find and evaluate the impact of different viewpoints on female employees' work-life balance. A female employee's age as well as income level. Marital status, family size, designation, occupation and level of experience, job and family-related concerns, and working hours are all examined