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Title: Innovative Business Models in Supplying Energy Finance as a Service and Leasing in México

Abstract: This research report examines innovative business models in energy finance as a service (EFaaS) and leasing mechanisms within the Mexican energy sector. As México transitions toward renewable energy and sustainable development goals, novel financing structures have emerged to overcome traditional barriers to energy infrastructure investment. Results demonstrate that energy leasing and service-based models have achieved significant market traction, particularly in commercial solar photovoltaic installations and energy efficiency projects. Findings reveal that successful models incorporate flexible payment structures, comprehensive maintenance services, and performance guarantees that align incentives between service providers and clients. The discussion addresses regulatory enablers, financing innovations, and technology integration strategies that facilitate model adoption. The report concludes that EFaaS and leasing models represent transformative mechanisms for accelerating Mexico's energy transition, with implications for policy development, financial sector engagement, and sustainable infrastructure deployment.

By José G. Vargas-Hernández, Dra. Patricia Villasana-Ramos, M. C. Omar C. Vargas-González
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: The Role of Artificial Intelligence in Digital Transformation: opportunities, challenges and Future Directions

Abstract: Artificial Intelligence (AI) has emerged as a transformative force that is redefining the way organizations approach digital transformation. By enabling intelligent automation, advanced data analysis, predictive decision-making, and personalized customer experiences, AI has become a key driver of innovation and organizational competitiveness. Despite its growing adoption, organizations continue to face several challenges, including ethical concerns, data privacy issues, cybersecurity risks, workforce adaptation, and implementation costs. This study examines the role of Artificial Intelligence in digital transformation by synthesizing evidence from recent academic literature, industry reports, and credible institutional publications. The paper adopts a qualitative approach based on secondary sources to explore how AI contributes to organizational transformation across different sectors. The analysis highlights that successful digital transformation depends not only on technological adoption but also on organizational readiness, effective leadership, employee capabilities, and responsible governance. The study further discusses the opportunities created by AI, the barriers affecting its implementation, and the future directions that can support sustainable digital transformation. The findings provide valuable insights for researchers, business leaders, and policymakers seeking to understand the evolving relationship between Artificial Intelligence and digital transformation in the modern business environment.

By S.K.S. Yadav, Kavita
In Volume: 15,Issue: 1
Title: Technology as a Catalyst for Global Change: Innovation, Equity, and Sustainable Transformation

Abstract: Technology has emerged as a transformative force shaping global development, social equity, and environmental sustainability. From artificial intelligence and digital health systems to renewable energy and smart infrastructure, technological innovation is redefining economies, governance, and human well-being. However, unequal access to digital resources, infrastructural disparities, and ethical challenges continue to widen global inequalities. This chapter explores how technology functions as a catalyst for global change by examining its role in innovation ecosystems, social inclusion, and sustainable development. It critically analyzes digital transformation across sectors such as healthcare, education, industry, and environmental management, while addressing issues of digital divide, data governance, and ethical responsibility. The chapter further aligns technological advancements with the Sustainable Development Goals (SDGs), emphasizing inclusive innovation and policy-driven transformation. Through conceptual frameworks and global case illustrations, it proposes a balanced pathway that integrates innovation with equity and sustainability. Ultimately, the chapter argues that technology, when guided by ethical governance and inclusive policies, can serve as a powerful instrument for achieving resilient and sustainable global futures.

By Neha Soni
In Volume: 15,Issue: 1
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: The Role of Artificial Intelligence in Digital Transformation: opportunities, challenges and Future Directions

Abstract: Artificial Intelligence (AI) has emerged as a transformative force that is redefining the way organizations approach digital transformation. By enabling intelligent automation, advanced data analysis, predictive decision-making, and personalized customer experiences, AI has become a key driver of innovation and organizational competitiveness. Despite its growing adoption, organizations continue to face several challenges, including ethical concerns, data privacy issues, cybersecurity risks, workforce adaptation, and implementation costs. This study examines the role of Artificial Intelligence in digital transformation by synthesizing evidence from recent academic literature, industry reports, and credible institutional publications. The paper adopts a qualitative approach based on secondary sources to explore how AI contributes to organizational transformation across different sectors. The analysis highlights that successful digital transformation depends not only on technological adoption but also on organizational readiness, effective leadership, employee capabilities, and responsible governance. The study further discusses the opportunities created by AI, the barriers affecting its implementation, and the future directions that can support sustainable digital transformation. The findings provide valuable insights for researchers, business leaders, and policymakers seeking to understand the evolving relationship between Artificial Intelligence and digital transformation in the modern business environment.

By S.K.S. Yadav, Kavita
In Volume: 15,Issue: 1

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