Abstract: Generative Artificial Intelligence (GenAI) has emerged as one of the most influential technological developments shaping modern learning environments. Tools such as ChatGPT, Google Gemini, and Microsoft Copilot are increasingly being used by Indian students and teachers for explanation, summarization, content generation, and academic support. This study examines how these tools influence learning efficiency in the Indian education system. Using a mixed-method design consisting of a structured student–teacher survey and focused interviews, the study explores changes in understanding, productivity, doubt-clearing, academic confidence, and skill development. Findings reveal that GenAI significantly enhances conceptual clarity, reduces learning time, and supports self-paced learning. However, concerns remain regarding over-dependence, misinformation, ethical use, and unequal access. The paper concludes with recommendations for responsible AI integration in Indian classrooms.
Abstract: Digital evolution of payment services has been a crucial and evolving trend that has been witnessed in the Indian financial market. Technological advancement, government support, and a rise in smartphone devices have encouraged people to opt for more digital means of transferring money and changing the structure of financial and money markets. This paper attempts to provide an empirical analysis of how consumer behavior is shaped by the evolving nature of digital payment services, especially in Meerut districts of Meerut, a Tier-2 city that constitutes a mix of both urban and semi-urban class consumer crowd. This paper attempts to provide an empirical analysis of how consumer behavior is shaped through a structured questionnaire covering a sample size of 100 people and employed statistical methods for hypothesis testing and analysis. Findings show that demographic characteristics are not a significant factor in changes in consumer expenditure behavior and shape and are shaped by aspects such as trust, ease of convenience, and perceived usefulness of services. Additionally, it was found that ease of services of digital payment further contributes to an improvement in consumer satisfaction levels.
Abstract: This study examines the differential approach to risk management strategies concerning Non-Performing Assets (NPA) within India's two foremost banks – the Indian Public Sector Bank, State Bank of India (SBI) and the Indian Private Sector Bank, ICICI Bank. While comparing the two banks, using a mixed-method approach, the research combines quantitative analysis of trends in financial indicators (Gross and Net NPA ratios, Provision Coverage Ratio and Return on Assets) and a qualitative analysis of credit appraisal and monitoring and recovery frameworks. Data from 2010-2025 were taken from RBI publications, annual reports and credible academic studies, so there was authenticity and reliability of data.
Findings show that SBI's recovery centered reforms such as better provisioning (PCR increase from 70.88% to 75%), restructuring under Insolvency and Bankruptcy Code (IBC) and improved post-sanction monitoring have led to a reduction in Gross NPAs by 47% and significant improvement in profitability (ROA increased from 0.48% to 1.1%). On the other hand , ICICI Bank's proactive and technology-driven risk model, with AI-driven early warning systems, digitised credit scoring and stringent underwriting, regularly maintained low NPAs (down from 3.05% to 1.67%) and enhanced profitability (ROA doubling to 2.0%). Correlation study reports we see that there is a very strong inverse relationship between NPAs, provisioning, Net NPA ratio and profitability (r approx –0.9) which means as NPAs and provisioning go up Net NPA ratio and profitability goes down. This is proof that what we put in place for credit assessment, early identification and recovery does in fact directly improve banks’ performance. We found out that what made SBI successful was its recovery and restructurizing which made ICICI’s success was in prevention and technology based monitoring. Also brought to light is the fact that what is key in the Indian banking system is the integration between AI, data analysis and good governance which banks use in risk management and in the end in the maintenance of asset quality in a sustainable way.
Abstract: Rural credit plays a crucial role in promoting agricultural growth and improving the livelihoods of rural households in developing economies, particularly in India. This research paper evaluates the impact of various rural credit mechanisms, including institutional finance, cooperative credit, microfinance, and government-sponsored schemes, on agricultural productivity and livelihood enhancement. Using secondary data from national surveys, published research, and policy documents, the study highlights how access to affordable and timely credit facilitates technological adoption, crop diversification, employment generation, income growth, and poverty reduction. The findings indicate that institutional credit significantly contributes to agricultural productivity and livelihood security. However, challenges such as regional imbalances, procedural complexities, and rising indebtedness remain. The study concludes with policy recommendations to strengthen rural credit delivery systems and ensure sustainable and inclusive rural development.
Abstract: The National Stock Exchange (NSE) of India plays a crucial role in trading stocks, derivatives, and debt instruments. Between 2021 and 2025, global economic uncertainty, driven by pandemic effects, fluctuating interest rates, geopolitical conflicts, and shifts in capital movements, significantly impacted financial markets, including the NSE. This research investigates how challenges like post-pandemic recovery, changes in foreign investment, and tightening monetary policies affected the NSE’s income and trading activity. By analysing secondary data from financial statements and economic reports, the study evaluates trends in revenue, net profits, and trading volumes. Increased global uncertainty led to market volatility and corrections in equity indices. Despite these challenges, the NSE's robust domestic investor base and diversified revenue helped mitigate adverse effects. The findings highlight the importance of adaptive risk management and regulatory consistency in maintaining financial performance during global instability.
Abstract: Bangladesh's rich textile heritage offers powerful, yet distinct, models for sustainable development. This study conducts a comparative analysis of two premier handloom sectors: the intricate Jamdani weaving of Tangail and the symbolic Khadi fabric of Cumilla. Framed within green economy principles, the research examines their socio-economic viability, environmental footprint, and potential as engines for pollution-free community development. Employing a mixed-methods approach (July-December 2025), the analysis incorporates surveys, environmental impact assessment, and case studies of both a "GI Gold" Jamdani export initiative and a revived Khadi business plan. Key comparative findings reveal: (1) Both sectors possess underutilized Geographical Indication (GI) status, but face different market challenges—Jamdani contends with high-skill imitation, while Khadi battles generic, low-cost substitutes; (2) their production paradigms, though both low-pollution, differ fundamentally, with Jamdani emphasizing artistic virtuosity and Khadi embodying philosophical self-reliance; and (3) their developmental contexts vary, with Tangail's model being craft-cluster centric and Cumilla's requiring synergistic infrastructure (e.g., airport revival) for growth. The study concludes that while both heritage textiles are potent vehicles for sustainable development, tailored, integrated strategies—recognizing their unique cultural, economic, and infrastructural ecosystems—are essential to unlock their full potential for artisan well-being, cultural preservation, and green economic growth in their respective regions.