AI & FinTech-Driven Transformation of the Indian Financial Management System: An Empirical Study of Digital Payments, Blockchain Technology, & Cryptocurrency (Zenodo (CERN European Organization for Nuclear Research))

Summary

• The study establishes a conceptual framework linking FinTech adoption, digital payments, AI-enabled services, consumer trust, and financial inclusion in India [p.1].p.1
• digital payment infrastructure in India is supported by mechanisms such as Unified Payments Interface (UPI), mobile banking, and internet banking [p.2].p.2
• Artificial Intelligence applications in financial management include credit risk assessment, fraud detection, predictive analytics, and automated customer support [p.2].p.2
• The empirical methodology proposes collecting primary data from a target sample size of approximately 200 respondents [p.3].p.3
• Proposed analytical techniques include correlation analysis, multiple regression analysis, and Structural Equation Modelling (SEM) [p.3].p.3
• Major implementation barriers include cybersecurity threats, digital financial fraud, data privacy concerns, and digital literacy gaps [p.3].p.3

Key insights

1. FinTech adoption functions as a primary catalyst transforming financial service delivery and consumer behavior in India [p.1].p.1
2. Digital payments expand financial inclusion by reducing transaction costs and providing services to previously underserved consumers [p.2].p.2
3. Artificial Intelligence enhances financial risk management through real-time detection of unusual transaction patterns [p.2].p.2
4. Consumer confidence and perceived security represent critical determinants in the ongoing adoption of digital financial services [p.2].p.2
5. Existing academic literature frequently analyzes FinTech, digital payments, and AI in isolation rather than within an integrated system framework [p.2].p.2
6. Sustainable technological adoption in banking requires proactive investments in fraud monitoring, user education, and cybersecurity [p.3].p.3