A New Credit Scoring Model to Reduce Potential Predatory Lending: A Design Science Approach

Author:

Zakowska Anna

Publisher

Springer Nature Switzerland

Reference41 articles.

1. Andrews, E.: How Flawed Data Aggravates Inequality in Credit. Stanford University (2021). https://hai.stanford.edu/news/how-flawed-data-aggravates-inequality-credit

2. Anderson, R.: The Credit Scoring Toolkit: Theory and Practice for Retail Credit Risk Management and Decision Automation. Oxford University Press (2007)

3. Capon, N.: Credit scoring systems a critical analysis. J. Mark. 46 (1982)

4. Hiller, J., Jones, L.: Who’s keeping score?: oversight of changing consumer credit infrastructure. Am. Bus. Law J. 59(1), 61–121 (2022)

5. Greenspan, A.: Remarks by Alen Greenspan Chairman of Board of Governors of the Federal Reserve System vis Satellite to the Annual Convention of the American Bankers Association Phoenix Arizona (2002). https://fraser.stlouisfed.org/title/statements-speeches-alan-greenspan-452/remarks-via-satellite-annual-convention-american-bankers-association-8771

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1. Application of AdaBound-Optimized XGBoost-LSTM Model for Consumer Credit Assessment in Banking Industries;Journal of Organizational and End User Computing;2024-05-06

2. Unravelling FinTech Lending: Risks, Transparency and Sustainable Growth in Modern India;2023 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD);2023-11-22

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