Implementing Innovative Credit Scoring (ICS) for Credit Risk Assessment and Loan Origination

This research aims to analyze the implementation of Innovative Credit Scoring (ICS) in the financial industry through case studies of banks and fintech startups. This research uses a qualitative approach with case studies as the primary research design. The results show that ICS can improve process efficiency, scoring accuracy, and inclusiveness of credit access. ICS has significant practical implications, including improved efficiency, more accurate risk assessment, and more inclusive access to credit. Recommendations include cooperation with technology companies, regulatory oversight, attention to ethical aspects and algorithm bias, and developing a validation framework.

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Publication Details

Journal
The International Journal of Financial Systems
Published
2025-08-20
DOI
https://doi.org/10.61459/ijfs.v3i1.36
Primary Topic
Private Equity and Venture Capital
Type
article
Field-Weighted Citation Impact
0.00
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article

Implementing Innovative Credit Scoring (ICS) for Credit Risk Assessment and Loan Origination

Rahma Ulfa Maghfiroh, Iman Supriadi, Rukhul Abadi
The International Journal of Financial Systems
Private Equity and Venture Capital
article

Implementing Innovative Credit Scoring (ICS) for Credit Risk Assessment and Loan Origination

Rahma Ulfa Maghfiroh, Iman Supriadi, Rukhul Abadi
article en

Abstract

This research aims to analyze the implementation of Innovative Credit Scoring (ICS) in the financial industry through case studies of banks and fintech startups. This research uses a qualitative approach with case studies as the primary research design. The results show that ICS can improve process efficiency, scoring accuracy, and inclusiveness of credit access. ICS has significant practical implications, including improved efficiency, more accurate risk assessment, and more inclusive access to credit. Recommendations include cooperation with technology companies, regulatory oversight, attention to ethical aspects and algorithm bias, and developing a validation framework.

The International Journal of Financial SystemsVol. 3(1)
UIN Sunan Ampel Surabaya (ID)
Openalex Percentile: Top 64%
Private Equity and Venture Capital
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