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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM51631
Volume:
9 |
7 |
Jul 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This study critically examines credit evaluation practices in loan and advance disbursement, focusing on their effectiveness, challenges, and strategic implications for financial institutions. Against the backdrop of evolving regulatory norms and technological advancements, the research highlights disparities between traditional and modern credit appraisal frameworks. Institutions leveraging data-driven tools, such as AI and behavioral analytics, demonstrate superior risk assessment accuracy and lower non-performing assets (NPAs) compared to those reliant on conventional collateral-based models. Key challenges include information asymmetry, sector-specific risks, and financial exclusion due to rigid appraisal criteria. The study underscores the need for inclusive, tech-enabled evaluation systems incorporating alternative data to enhance credit access while mitigating risks. Strategic recommendations emphasize regulatory alignment, officer training, and real-time monitoring to strengthen institutional resilience. The findings offer actionable insights for lenders, policymakers, and researchers aiming to optimize credit risk management and foster equitable financial inclusion.
KEYWORDS
Publication Date
7/29/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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