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Title: Impact of Generative AI (ChatGPT, Gemini, Copilot) on Learning Efficiency in the Indian Education System

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.

By Shantam Babbar, Rajesh Kumar Raju, Monika Kumari
In Volume: 14,Issue: 2
Title: Components of the Money Supply Process in Bangladesh: An Analysis

Abstract: This study provides a comprehensive assessment of the components and effectiveness of the money supply process in Bangladesh, with a particular focus on its underlying determinants, trends, and policy implications. The primary objective is to evaluate whether the existing money supply mechanism, as implemented by the Bangladesh Bank, is effective in meeting the country’s macroeconomic objectives of price stability, economic growth, and financial stability. The research adopts a mixed-method approach, integrating both descriptive and econometric analyses. Descriptive statistics and trend analysis are used to examine the historical patterns of monetary aggregates namely the monetary base (H), money multiplier (m), narrow money (M1), and broad money (M2) over the past two decades. The results reveal that the money supply process in Bangladesh exhibits both short-run volatility and long-run stability, with the monetary base and money multiplier jointly influencing the expansion of M2. Co-integration tests confirm the existence of long-term equilibrium relationships among monetary aggregates, while ECM results suggest a moderate speed of adjustment toward equilibrium following shocks. However, structural break analysis indicates that global financial crises, domestic policy shifts, and recent pandemic-related disruptions have caused significant short-term deviations. The findings highlight that although the Bangladesh Bank’s monetary policy framework has been largely effective in steering the long-run trajectory of the money supply, challenges remain in managing short-run fluctuations and in aligning monetary expansion with real economic growth. The study concludes with policy recommendations aimed at enhancing the effectiveness of the money supply process, including improving forecasting models, strengthening monetary transmission mechanisms, and enhancing coordination between monetary and fiscal policy.

By Sabiha Akter
In Volume: 14,Issue: 2
Title: Threads of Sustainability: A Comparative Analysis of Jamdani (Tangail) and Khadi (Cumilla) as Catalysts for Pollution-Free Community Development in Bangladesh

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.

By Muhammad Mahboob Ali, Nazmin Akter
In Volume: 14,Issue: 2
Title: Comparative Analysis of Risk Management Strategies for Non-Performing Assets: A Case Study of SBI and ICICI Bank in India

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.

By Achintya Kumar Gupta, Narendra Pal Singh
In Volume: 14,Issue: 2
Title: Building Resilience in the Gig Economy: A Systematic Review of Adaptive Strategies and Future Research Agendas

Abstract: Purpose: This article examines the role that psychological resilience plays in helping gig workers navigate the uncertainties and pressures of platform-based labour. The primary objective is to identify important elements contributing resilience and propose practical implications for those in HR positions and for policy makers. Design/methodology/approach: A systematic literature review was conducted in the Scopus database searching from 1,528 studies published between 2015 and 2025. A total of 56 peer-reviewed articles were selected for systematic review after careful examination. The data for study was also visualized to reflect sources, co-authorship relations, and the connections of their keywords. Findings: The research finds that psychological resilience in gig workers is a function of the right mixture of personal characteristics (such as optimism and good emotional control), how meaningful they find their work, and how strong their social support system is. Conversely, resilience is eroded by the problems of surveillance algorithms, precarious income, and social isolation. Effective answers include transparent control of algorithms, built-in well-being resources in apps, digital peer support groups, and portable benefits. There are still research gaps, especially concerning longitudinal data, representation from the Global South and larger-scale interventions. Practical Implications HR professionals and platform managers can enhance resilience by introducing mental health resources, promoting peer support and positively acknowledging gig workers’ contributions. Policymakers should focus on legal status, data rights and social protection to make gig work a viable choice.

By Aakanksha Bansal, Pankaj Kumar
In Volume: 14,Issue: 2

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