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Title: An Analytical Study of the Legal Position and Role of Securities & Exchange Board of India (SEBI)

Abstract: This paper highlights a long journey towards regulatory enhancement within the SEBI ecosystem through the lens of data analysis. The objective is to clear amalgamate existing SEBI systems with those deemed desirable according to the fundamental principles of regulation. It also provides the whole outcome of the research study based on the analysis. It also suggest various policy implications to the researcher and government for an efficient and transparent regulatory environment in the country. In conclusion, it provides a thorough analysis of the enforcement procedures employed by the Securities and Exchange Board of India (SEBI), elucidating their effectiveness, equity, and efficiency. Through rigorous data analysis and empirical inquiry, we have dissected the regulatory landscape, uncovering insights that transcend mere statistics. Our findings add to the current conversation about how well regulations work, how accountable institutions are, and how safe investors are in India's financial markets. They also aim to make SEBI's regulatory system more open, accountable, and trustworthy.

By M.P. Verma, Deepa Singh Yadav
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: Liquidity Crisis in the Banking Sector: Actions, Implementation, and Solutions: Bangladesh Perspective

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.

By Selina Akhter
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

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