Fin Tech Adoption and Its Impact on Service Efficiency in Banking and Insurance
Keywords:
FinTech Adoption, Service Efficiency, Banking Sector, Insurance Sector, Digital Transformation, Customer Satisfaction, Transaction Speed, Operational PerformanceAbstract
This study looks at how using FinTech can affect the banking and insurance industries' service efficiency, operational effectiveness, and customer happiness. The primary objectives were to assess FinTech application levels, identify essential digital technologies that enhance operational efficiency, evaluate their effects on transaction speed, cost reduction, and service quality, analyse the influence on customer satisfaction relative to implementation levels, and compare performance metrics between institutions with varying implementation levels. The quantitative research design utilised a cross-sectional study to collect primary data using structured questionnaires administered to employees, managers, and consumers, complemented by secondary data sources including annual reports, industry publications, and regulatory papers. The questionnaire encompassed variables related to FinTech adoption, including digital payments, mobile banking, AI integration, automation, and cloud infrastructure, as well as variables concerning service efficiency, such as transaction processing, error reduction, operational costs, reliability, and customer satisfaction. We used SPSS and R to complete the study, which included descriptive statistics, correlation analysis, regression models, and independent sample t-tests to see how the relationship and differences worked. The findings indicate that digital payments (Mean = 4.25) and mobile banking (Mean = 4.30) have a very high adoption as well as AI (Mean = 4.05) and cloud integration (Mean = 4.10). The efficiency of the service increased dramatically, and the transaction speed (Mean = 4.18), the reduction of the errors (Mean = 4.12), the customer satisfaction level (Mean = 4.22), and the reliability level (Mean = 4.15). The results of correlation analysis indicate strong positive relationships (r = 0.70 0.78), whereas the results of regression indicate significant predictive effects of FinTech adoption (B = 0.68, t = 9.45, P = 0.000, R 2 = 0.62). Comparisons by sector indicate that banking is better in adoption, speed and quality of service provision than insurance. Such results confirm that strategic FinTech implementation is beneficial to achieve operational excellence, competitiveness, and sustainable growth.
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