Our Journals

Latest Issues

Our Experts

Latest Articles/Papers

Title: Traditional Continuousness and Market Services: A Mixed-Method Field Study of Khadi Weaving Communities in Cumilla, Bangladesh

Abstract: A mixed-methods field study in Cumilla District, Bangladesh, from October 2025 to February 2026 studies Khadi manufacture and community well-being. It also illustrates global market entry issues. Primary data came from 360 semi-structured artisan interviews, 8 64-person focus groups, 300 household surveys from five upazillas, and 120 hours of participant observation. This study analyzed qualitative data (1,847 coded references, 24 nodes/6 themes) using NVivo 14 and evaluated quantitative dichotomous outcomes (well-being, market access, and GI awareness) using Fisher's Exact Test, One-Proportion Z-Test, Point-Biserial Correlation, McNemar's Test, and Cohen's Kappa (?=0.87).Major findings indicate that 71.4% of craftsmen experience emotional fulfillment in Khadi production, with present artists reporting superior well-being than former craftspeople (WHO-5 mean: 68.3 vs. 52.1; OR=4.82, p<0.001). GI certification increased average monthly wages 28.4% (BDT 8,450–10,850), however 62% are below the national living wage. Young people's engagement decreased from 42% (2010) to 18% (p<0.001) due to limited opportunities and a dismal income outlook (67%). Only 12% of people have access to global markets, and digital literacy highly corresponds with export activity (r_pb=0.42, p<0.001). These findings help the Craft-Centered Marketing Methodology (CCMM) balance market integration and cultural continuity utilizing the "Story-Value-Connection" (SVC) framework for sustainable Khadi growth.

By S.K.S. Yadav, Muhammad Mahboob Ali, Kiran
In Volume: 15,Issue: 1
Title: Financial Performance Evaluation of NSE AND BSE: A Comparative Assessment of Revenue Structure, Operating Efficiency, and Profitability (2020–2025)

Abstract: Stock exchanges play a crucial role in today’s financial systems by providing platforms for raising capital, enhancing market liquidity, and fostering economic growth. The National Stock Exchange of India Limited (NSE) and BSE Limited (BSE) in India have witnessed a sea change in the last decade due to technological advancements, regulatory reforms and increasing retail participation. They are regulated in the same way but differ in their revenue models, operating efficiencies and profitability. The present study has made a comparative analysis of the financial performance of NSE & BSE for the period 2020-2025 with the help of secondary data collected from the annual reports & financial statements. Various approaches such as trend analysis and comparative ratio analysis are studied for key performance indicators such as revenue growth, operating margin, and return on equity. Initial results show NSE is operationally more efficient and profitable mainly due to its dominance in the equity derivatives and technology-based product market. By contrast, BSE has focused on innovations in SME listings and mutual fund platforms, but its scale is small. This research adds to the literature on financial market infrastructure by providing insight to regulators, investors and researchers.

By Shamshad Khan, Arvind Kumar Yadav
In Volume: 15,Issue: 1
Title: Impact of AI-Powered Personalized Learning on Self-Regulated Learning, Academic Engagement, and Learning Autonomy among Secondary School Students

Abstract: There have been numerous ways in which Artificial Intelligence (AI) has revolutionized the educational process through its ability to deliver adaptive instruction, intelligent tutoring, feedback mechanisms, learning analytics, and learning through Generative AI. AI-driven personalized learning is able to provide personalized education for students, thus not only enhancing the academic achievements but also the processes involved in regulating and engaging in learning. Several studies have found that AI is able to facilitate self-regulated learning (SRL), depending on the technological design, instructional context, length of intervention and level of teacher and learner participation (Zhu & Sari, 2026; Xu et al., 2026). The current paper focuses on the possible effect of AI-driven personalized learning on three related learner outcomes including self-regulated learning, academic engagement, and learning autonomy among secondary school students. This research brings together international literature along with Indian literature such as Babbar, Raju and Kumari’s studies regarding Generative AI and Learning Efficiency in the Indian educational setting. The structured research approach and quantitative method are introduced, and then illustrated with statistical findings. The literature indicates that personalisation through AI can be effective in terms of helping learners to monitor and regulate their activities; however, it will not help in case the dependence on technology becomes too high and there is no pedagogical scaffolding present. That is why the paper concludes in favour of human-centered approach and AI as a tool rather than substitution of teachers and cognitive processes.

By Rajesh Kumar Raju, Monika Kumari
In Volume: 15,Issue: 1
Title: Mediation as a Transformative Mechanism in Insolvency Resolution Under the IBC: Emerging Dimensions Under the Mediation Act, 2023

Abstract: The Insolvency and Bankruptcy Code, 2016 (IBC) was enacted to ensure time-bound insolvency resolution, maximisation of asset value, and balancing of stakeholders’ interests. Nevertheless, increasing procedural delays, adversarial litigation, and mounting pendency before the National nyny Law Tribunal (NCLT) have diluted the efficiency of the insolvency framework. In this evolving context, mediation has emerged as a constructive and commercially viable mechanism capable of harmonising creditor-debtor relations while preserving enterprise value. The enactment of the Mediation Act marks a significant legislative shift towards institutional and pre-litigation mediation in India’s dispute resolution architecture. This paper critically examines the growing interface between mediation and insolvency law in India with special reference to recent developments under the IBC regime. It analyses how consensual dispute resolution can supplement the rigid adjudicatory model of insolvency proceedings, particularly in operational debt disputes, inter-creditor disagreements, avoidance transactions, and pre-packaged insolvency mechanisms. The study further evaluates the Insolvency and Bankruptcy Board of India’s proposal permitting operational creditors to opt for mediation prior to initiating proceedings under Section 9 of the IBC, thereby institutionalising a culture of negotiated settlements within insolvency jurisprudence. The paper argues that mediation can substantially reduce litigation costs, preserve business continuity, maintain commercial relationships, and decongest insolvency tribunals without undermining the objectives of the IBC. It also explores the compatibility of mediated settlements with the principles of creditor autonomy, procedural fairness, and economic efficiency. By examining comparative global practices and contemporary Indian reforms, the paper concludes that mediation represents not merely an adjunct remedy but a transformative jurisprudential tool capable of reshaping insolvency governance in India from adversarial resolution to collaborative restructuring.

By Ashok Kumar Sharma
In Volume: 15,Issue: 1
Title: Digital Payments and Fraud in India: A Systematic Review of UPI's Growth and Machine Learning-Based Detection Frameworks

Abstract: India's Unified Payment Interface (UPI) can be stated as the most revolutionary payment system of the twenty-first century. It processed over 21 billion transactions worth ?27.97 lakh crore in December 2025 alone. These figures dictate both its remarkable reach and the security challenges it presents. Since its launch in April 2016 by the National Payments Corporation of India (NPCI), UPI has outpaced traditional digital payment systems, and now over 85% of digital transactions in India are done using UPI. Though the growth is remarkable, it allows new kinds of frauds and scams to arise. Studies show that digital fraud has surged by 346% during COVID-19. This paper examines the empirical and review studies from 2017 to 2026 related to the intersection of UPI’s exponential growth and evolving landscape of digital payment frauds in India. The study critically evaluates the most dominant types of fraud typologies, like phishing, QR code manipulation, KYC impersonation, and social engineering scams, along with the methods used for the prevention of such types of fraud, like machine learning and deep learning architectures. The review finds that machine learning and deep learning architectures achieved over 99% accuracy in the detection of fraud. There are still persistent challenges like class imbalance, data privacy, and adaptive fraudulent behavior. The paper argues that effective fraud mitigation and prevention require more than algorithmic advancement. A multi-layered response integrating system, regulatory dimensions, and user awareness is still required to tackle and prevent fraudulent activities.

By Abhishek Mishra and Dr. Mahendra Pal Singh Yadav
In Volume: 15,Issue: 1

Latest / Previous Editions

abc

Volume:15, Issue:1

Jan-Jun
abc

Volume:14, Issue:2

Jul-Dec
abc

Volume:14, Issue:1

Jan-Jun
abc

Volume:13, Issue:1

Jan-Jun