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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: Digital Payment Adoption and Its Influence on Consumer Behaviour: Evidence from Meerut District

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.

By S.K.S. Yadav, Samreen Khan
In Volume: 14,Issue: 2
Title: Digital Trade and E-commerce Reshaping Global Trade Architecture in the 21st Century

Abstract: The rapid proliferation of digital technologies has fundamentally transformed the global trade landscape, with e-commerce and digital trade emerging as dominant forces reshaping traditional trade architectures. This paper examines the multifaceted impact of digital trade and e-commerce on global trade structures, analyzing key trends, challenges, and policy implications. Through comprehensive analysis of empirical data and theoretical frameworks, we demonstrate how digital platforms have reduced transaction costs, democratized access to international markets, and created new regulatory challenges. Our findings indicate that digital trade now accounts for a significant portion of global GDP, with cross-border e-commerce growing at unprecedented rates. However, this transformation has also highlighted critical issues including digital divides, data governance concerns, and the need for updated international trade frameworks. This research contributes to understanding how digital trade is reconfiguring global value chains and what policy interventions are necessary to ensure inclusive and sustainable growth in the digital economy.

By Pankaj Yadav
In Volume: 14,Issue: 2
Title: The Inflation-Unemployment Trade-Off in Bangladesh: Empirical Insights for Accelerating Progress towards Zero Poverty (SDG 1)

Abstract: This study empirically investigates the inflation-unemployment trade-off in Bangladesh and assesses its implications for achieving Sustainable Development Goal 1 (SDG 1) of zero poverty. High inflation erodes the real income of the poor, while unemployment directly limits earning capabilities, making the interplay between these variables a central determinant of poverty reduction. Using annual time-series data from 1990 to 2024, we employ an Autoregressive Distributed Lag (ARDL) model to test for the existence and stability of a long-run relationship. Our findings confirm a significant short-run trade-off but reveal that this relationship is unstable and weakens in the long run, suggesting that other structural factors dominate. The results indicate that unanticipated inflationary shocks disproportionately harm the poor, and persistent unemployment remains a formidable barrier to inclusive growth. The study concludes that a singular focus on either price stability or employment generation is insufficient for attaining SDG 1. Instead, Bangladesh requires an integrated policy framework that combines prudent monetary policy to control the inflation rate with targeted fiscal measures, investments in human capital, and productive sector diversification to generate new employment opportunities. This holistic approach is essential to effectively manage the trade-off and accelerate progress towards eliminating poverty.

By Shuvongkor Kumar Datta, S.K.S. Yadav, Jubair Ansary, Ariful Islam
In Volume: 14,Issue: 2
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: The Impact of Pawnbroking on Local Communities with special reference to Bangladesh

Abstract: This study examines pawnbroking's impact on social entrepreneurship and its implications for social development. It posits that Pawnbroking aids vulnerable entrepreneurs, often excluded from formal credit, in accessing quick financial resources, thereby enhancing social entrepreneurship. Through a meta-analysis and literature review, including three case studies from Bangladesh, the findings indicate that, despite exploitative practices, pawnshops are vital for providing the impoverished with financial access and supporting social welfare. However, risks such as asset loss, debt cycles, and exploitation of desperate borrowers are also highlighted. The study emphasizes the need for regulatory oversight and more accessible financial systems that protect borrowers while maintaining accessibility. Overall, pawnbroking offers both advantages and challenges for local communities in Bangladesh, necessitating a balance between quick cash access and consumer protections to promote healthier community dynamics.

By José G. Vargas-Hernández, Amina Khatun, Csongor Czipf, Absalón J. Salmerón-Zapata
In Volume: 14,Issue: 2

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