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Title: A Bibliometric Analysis of Women Entrepreneurship: Trends, Themes, and Global Perspectives

Abstract: Women entrepreneurs are the most rapidly expanding section of global entrepreneurship and have garnered significant attention from several scholars, particularly in recent years. Emerging entrepreneurship literature indicates that females contribute significantly to entrepreneurial activities and economic growth by generating new jobs and enhancing gross domestic product.This study presents a comprehensive bibliometric analysis based on data extracted from the Web of Science record to explore the key trends, themes, and contributions in women entrepreneurship research. Using VOS viewer, the study maps keyword co-occurrences, identifies prominent themes, and analyzes the geographical distribution of publications. Findings highlight critical intersections of gender, innovation, and sustainability in entrepreneurship, revealing emerging areas for future research and policy development to foster global inclusive ecosystems for women entrepreneurs.

By Deepak Kumar, Tamanna
In Volume: 15,Issue: 1
Title: Impact of Digital and Social Media Advertising on Millennial Consumers

Abstract: Generation Y, commonly identified as Millennials, comprises individuals born between 1981 and 1996. Characterized by profound digital immersion and technological proficiency, this cohort has been significantly influenced by the pervasive expansion of social media. Consequently, social media advertising has emerged as a formidable catalyst in shaping their purchase intentions, consumption patterns, and brand preferences. The present study investigates the multifaceted influence of social media advertising on the buying behaviour of Generation Y consumers within the contemporary digital marketplace. The findings unequivocally demonstrate that social media advertising exerts a profound influence on the lifestyle orientations, consumption behaviour, and purchase decision-making processes of Generation Y consumers. The ubiquitous proliferation of digital platforms such as Instagram, Facebook, YouTube, WhatsApp, and X (formerly Twitter) has fundamentally reconfigured the dynamics of consumer–brand interaction. By facilitating instantaneous access to comprehensive product information, authentic consumer reviews, algorithmically curated recommendations, and influencer-generated endorsements, social media advertising substantially shapes consumer perceptions, reinforces purchase intentions, and cultivates enduring brand predispositions within the contemporary digital ecosystem. The study further highlights that Generation Y consumers actively engage with digital content and rely heavily on online reviews and peer recommendations before making purchases. Businesses and marketers can therefore better understand consumer expectations and design effective advertising strategies to attract and retain this segment. The research concludes that social media advertising has become an essential marketing tool influencing Generation Y’s buying behaviour in the modern digital economy.

By Swati Agarwal
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: 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: 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: GDP, Unemployment, Government Expenditure in Bangladesh: Testing the Relevance of Okun’s Law

Abstract: This study examines the dynamic relationship among Gross Domestic Product (GDP), unemployment, and government expenditure in Bangladesh from 2010 to 2025. The analysis highlights a period of robust economic performance, with GDP growth consistently averaging above 6%, driven primarily by manufacturing, garment exports, and the service sector. Despite the significant disruption caused by the COVID-19 pandemic in 2020, which saw growth dip to 3.45%, the economy demonstrated structural resilience and a rapid recovery. Concurrently, government expenditure has expanded significantly as a fiscal tool for development, particularly through large-scale infrastructure projects and social safety nets. Public spending rose from BDT 1,217 billion in 2016 to over BDT 2,218 billion by 2025. However, this expansionary stance has not fully addressed labor market inefficiencies. Unemployment has remained relatively stable between 3% and 5%, suggesting that the link between GDP growth and job creation is weak, thereby offering only limited support for Okun’s Law in the Bangladeshi context. The study identifies persistent structural challenges, including high youth unemployment and skill mismatches, and concludes that inclusive growth policies and labor market reforms are essential to translate macroeconomic gains into sustainable employment generation.

By S.K.S. Yadav, Imran Hosen, Dhwani Gupta
In Volume: 15,Issue: 1

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