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: 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: 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.
Abstract: Due to imports of goods and particularly textiles, gems, seafood, and electronics, the United States presents tariff levels that are very high to Indian exports and this presents a great challenge to Indian trade balance and GDP. This paper will examine the economic effects of these tariffs, examine the bilateral trade pattern between India and the U.S., and provide an internal policy action to alleviate the effect. It also analyses strategic potential of the India UK Free Trade Agreement (FTA) as hedge against U.S trade headwinds. By quantitatively supported thought and sectoral knowledge, the paper draws a plan on how India can be resilient in exports and its economy.
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.
Abstract: This research report provides an in-depth analysis of the persistent liquidity crisis within Bangladesh's banking sector. Characterized by a severe shortage of available cash to meet obligations, the crisis threatens financial stability and long-term economic growth. The study identifies the multifaceted causes of the crisis, which are predominantly rooted in systemic governance failures rather than external shocks. Key factors include alarming levels of Non-Performing Loans (NPLs) driven by poor credit governance and willful defaults, a declining trend in deposit growth, significant capital flight, and foreign currency mismanagement. The report assesses the profound impacts of this crisis, including constrained credit flow to productive sectors, erosion of public trust, and heightened systemic risk. It evaluates recent regulatory interventions by Bangladesh Bank, such as the unification of weak banks and the introduction of the Bank Resolution Ordinance 2025. Through analytical review, the report concludes that while these are positive steps, their long-term efficacy depends on rigorous implementation. The study recommends a holistic strategy encompassing stringent governance reforms, aggressive NPL resolution through asset reconstruction companies, monetary and fiscal policy coordination, technological integration for transparency, and confidence-building measures to attract deposits. The findings underscore that a sustainable solution requires unwavering political will to address deep-seated institutional corruption and mismanagement.