Financial literacy and financial intermediation are vital tools for all businesses, particularly women micro-entrepreneurs. Even with modest means, they have been shown to considerably contribute to economic independence at the family, national, and international levels. Since Indonesian women microentrepreneurs still have trouble getting bank loans (being unbanked), the majority of them join cooperatives. Cooperatives are without doubt the financial intermediation institutions of choice for micro-communities; nonetheless, research on the subject is still scarce, particularly in developing nations. In order to bridge this gap, this study looks at the role of cooperatives as financial intermediation organizations. Examining the impact of financial literacy through cooperative financial intermediation on the financial performance of Indonesian women microentrepreneurs is the main goal of the study. The cross-sectional data were identified using purposive approaches and processed with the use of Smart PLS as part of an explanatory research approach. The direct influence test results demonstrate that enhancing financial performance and financial intermediation are directly impacted by financial literacy. Additionally, financial intermediation (cooperatives) was successful in influencing the impact of financial literacy on the financial performance of micro-entrepreneurs in Indonesia, according to the findings of the mediation effect test.

Purpose: The purpose of this paper is to explore the impact of Artificial Intelligence on the performance of Indian Banks in terms of financial metrics. The study focused specifically on the NIFTY Bank Index. The paper also advocates that a greater transparency in disclosing AI related information in a Bank’s annual report is required even if it is voluntary. Design/Methodology/Approach: The paper uses a mixed method approach where quantitative and qualitative analysis is combined. A dynamic panel data model is used to understand the impact of AI of Return on Equity (RoE) of 12 Indian Banks in the NIFTY Bank Index over a five-year period. In addition to that, Content analysis of annual reports of banks was conducted to examine AI related disclosure and transparency. Findings: The paper highlights that the integration of Artificial Intelligence (AI) significantly influences the financial performance of sample banks of India. Return on Equity the specific parameter positively influenced with adoption of AI. The profitability of banks is positively impacted by reduced errors and improved operational efficiency. The content analysis of annual reports of the banks indicates different approach for AI disclosure where some banks give detailed information and some are not transparent about AI initiatives. The findings suggest that a higher level of transparency could enhance confidence of all stakeholders. Theoretical Implications: The positive relation between adoption of AI and financial performance, specifically ROE, gives a foundation for academic research to explore the dynamics of emerging technology and financial systems. The study can be extended to explore the impact on other performance indicators in different sectors. Practical Implications: The findings of this study emphasize the importance of transparent AI related disclosures. A detailed reporting about integration of AI helps in enhanced stakeholders’ confidence in case of banking industry. The regulatory framework of banks may also consider making mandatory AI disclosure practices to ensure due accountability to maximize the benefits of AI in banking.