Artificial Intelligence and Credit Risk Assessment in Indian Commercial Banks: A Triangulated Study Integrating Employee Perceptions with Objective Performance Metrics

Authors

  • Kamlesh Kaur ,Dr. Priyanka Salgotra

Keywords:

Artificial Intelligence; Credit Risk Assessment; Non-Performing Assets; Employee Perceptions; Technology Adoption; Indian Banking.

Abstract

Purpose: The current enquiry adopts a triadic methodology to study the effect of ArtificialIntelligence (AI) implementation on Credit Risk Assessment in Indian Commercial Banks.Diverging from previous work that relied solely on either a perception-based or a performance
 based approach

References

Brynjolfsson, E., & McAfee, A. (2017). Artificial intelligence, for real. Harvard Business Review, 1, 1–31

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Published

2024-05-20

How to Cite

Kamlesh Kaur ,Dr. Priyanka Salgotra. (2024). Artificial Intelligence and Credit Risk Assessment in Indian Commercial Banks: A Triangulated Study Integrating Employee Perceptions with Objective Performance Metrics . Journal of Computational Analysis and Applications (JoCAAA), 33(05), 3226–3260. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4456

Issue

Vol. 33 No. 05 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.