An integrated framework combining explainable machine learning and Hybrid Multi-Criteria Decision-Making techniques to evaluate the financial performance of Indian banks is proposed and is expected to demonstrate that combining explainable machine learning with hybrid MCDM produces more reliable and interpretable financial performance assessments than conventional approaches.
Overall, the findings indicate that business value is associated not simply with AI adoption, but with its systematic integration into financial decision-making processes.
Patricia Ugochi Uzoma, Kehinde Akinwale, Blessing Itodo et al.· Asian Journal of Advanced Re...· 0 citations
Advances in Artificial Intelligence (AI) have transformed the banking sector, particularly credit scoring systems, by improving the accuracy of credit risk assessment and the efficiency of financing decisions. However, AI implementation also presents challenges related to transparency, algorithmic bias, data protection...
Azhela Dwi Aryani, Zuhrinal M. Nawawi, Y. S. Nasution· Jurnal Penelitian Ilmu Ekono...· 0 citations
It is indicated that interest rate decisions cannot be reliably predicted based on the macroeconomic indicators examined, and the role of institutional and communication-related factors that are not reflected in these variables supported, however, these findings alone do not conclusively prove this role.
Burcu Kartal· Journal of Economic Policy R...· 0 citations
Financial performance evaluation plays an important part in understanding firms’ operational efficiency and profitability. This study examines the link between important financial input parameters—Revenue, Earnings before Interest, Taxes, Depreciation,
and Amortization (EBITDA), and Profit Margin—and the output paramet...
Rajendra Kattunga, Bilquis Ali, P. Patil· Journal of Business Intellig...· 0 citations
A Standardized Multi-Metric Evaluation Framework is developed to support the selection of more objective and reproducible machine learning models in the case of loan approval to identify models that have a balance of performance and efficiency in loan approval experiments.
Trihartono Agus, Agus Ilyas Ilyas, S. Sattriedi et al.· Jurnal Informatika: Jurnal P...· 0 citations
This study examines the relationship between Artificial Intelligence (AI) adoption and the financial performance of Nigeria’s top-tier deposit money banks over a ten year period (2015–2024). Against the backdrop of Nigeria’s accelerating digital transformation, the research examines how AI-driven innovations enhance pr...
Oni Aderonke, A. Akintunde· International Journal of Lat...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
