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1

Meena Rani

Abstract:
The purpose of the study was to determine how return on Assets and non-interest revenue of a few chosen listed banks in India relate to one another. This current study will assist banks in determining how non-interest income affects their financial performance. The dependent variable/total assets (log), capital adequacy, interest income/total assets, and non-interest income/total assets were regarded as independent variables, while return on assets (ROA) was regarded as a financial performance indicator for the current study. To observe the link, both descriptive and analytical methods were used. The examination of the results shows that non-interest income has a detrimental impact on public sector banks' financial performance. Additionally, the study found that non-interest income improved private sector banks' financial performance. The impact of non-interest income on banks in the public and private sectors was negligible. Additionally, it is discovered that not all variables have an equal impact on financial performance. For private sector banks, the Return on Assets (ROA) was positively and significantly impacted by parameters such as Total Assets (Log), Interest Income/Total Assets, and Capital Adequacy Ratio. The Return on Assets (ROA) of public sector banks was positively and significantly impacted by parameters such as Total Assets (Log) and Capital Adequacy Ratio, whereas the influence of Interest Income/Total Assets was positively and minor. The findings showed that in order to improve their financial performance, banks should take into account the non-interest income components.


1-15
2

Sangram Singh, Ajay Prakash, Vinay Kumar

Abstract:
The increasing complexity of financial fraud and the evolution of digital technologies have necessitated a paradigm shift in forensic accounting practices. Artificial Intelligence (AI) revolutionizes forensic accounting by improving data analysis, pattern recognition, anomaly detection, and predictive modelling. This research paper explores the integration of AI into forensic accounting across various sectors, including banking, healthcare, manufacturing, and government. Through a sector-wise analysis, the paper assesses the effectiveness of AI tools in uncovering fraudulent activities, streamlining investigations, and ensuring financial transparency.


16-28
3

Mr. Dhavale Sidhant Madhavrao Prof.(Dr). S. K. Khillare Prof. (Dr.) D.M.Khandare

Abstract:
This study investigates the level of awareness and utilization of major rural development schemes among villagers in India, focusing on Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), Pradhan Mantri Awas Yojana – Gramin (PMAY-G), Swachh Bharat Mission (SBM), and Pradhan Mantri Gram Sadak Yojana (PMGSY). Adopting a mixed-methods approach, the research combines structured household surveys with key informant interviews to provide a comprehensive understanding of how rural residents perceive, access, and benefit from these government initiatives. The study examines the extent of knowledge about these schemes, identifies barriers to participation, and analyzes demographic and socio-economic determinants influencing awareness and utilization. Results indicate considerable variation across schemes: MGNREGA emerges as the most widely recognized and effectively utilized program, owing to its long-standing presence, direct employment benefits, and strong community-level dissemination mechanisms. In contrast, PMAY-G and SBM face significant challenges related to information gaps, bureaucratic complexities, and limited local facilitation, which hinder optimal participation. PMGSY awareness is moderate, often linked to visible infrastructural improvements rather than formal outreach campaigns. The findings highlight the critical role of effective information dissemination, social mobilization, and administrative efficiency in enhancing scheme uptake. Based on these insights, the paper recommends targeted policy interventions such as strengthening local awareness campaigns, leveraging Panchayati Raj institutions for grassroots outreach, simplifying procedural requirements, and ensuring inclusive participation of marginalized groups. These measures promote equitable access to rural development programs and maximize their intended socio-economic impact on rural communities by addressing informational and institutional bottlenecks.


29-36
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