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.
Abstract: Rajasthan, India’s largest state by area, has historically been a major source of internal and international migration due to Agro-Climatic vulnerability, water scarcity and limited industrialization. This study evaluated the data of Census 2011.Periodic Laborer Force Survey (PLFS), 2022-23 and primary survey data from some districts and examines spatial patterns, drivers, and economic impacts of migration. Results show three dominant streams: rural-urban intra state to Jaipur-Kota, rural-rural to Punjab-Haryana-Gujrat for agriculture and construction, and rural metro cities for textiles and services. Remittances constitute 7.8% of Rajasthan’s GSDP reaching 18.2% in Barmer and 14.6% in Sikar. Districts level regression indicates that 1% rise in out migration increases per capita income by Rs 1840 but reduces food grain yield by 0.6% due to laborer loss. Migration reduces poverty by 4.2% in high out migration districts but creates skill deficit, elderly care burden, and agricultural fallow. The study concludes that migration is both a coping mechanism and a development lever, requiring a migration sensitive policy integrating skill hubs, portability of welfare and remittance investment channels.
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.
Abstract: Purpose: The current research paper analyzes that in IT sector, how strategic practices based on Chanakya Niti influence stress management in the National Capital Region (NCR). The paper signifies the importance of classical strategic wisdom in the contemporary organizational setting in reaction to the increasing stress at the workplace precipitated by the technological demands and competitive work environment.
Methodology: A cross sectional and quantitative method was applied in this study. For data collection purpose, primary source like questionnaire was disseminated to gathered the significant information from 400 respondents which were utilized for statistical tests application as per the suitability of hypothesis. For assess the relations and check the effect of variables in this study, correlation and regression analysis were applied.
Findings: The results show that the strategic practices of Chanakya Niti are moderately implemented in IT organizations, and employee stress management is moderate, and the issue of burnout is still apparent. The correlation analysis has revealed that strategic practices and employee stress management have a strong positive relationship. Moreover, regression analysis proved that the practices based on Chanakya Niti have a statistically direct relation with the stress management of employees.
Practical Implications: The study shows that the old strategic concepts such as ethical governance, strategic foresight, emotional intelligence, and disciplined leadership can be applied to the new management practices by companies to benefit. Nonetheless, the practices must be supplemented with more extensive employee well-being programs, and supportive workplace policies.
Originality/Value: It offers a testimony on the applicability of traditional Indian strategic wisdom to the contemporary workplace issues, especially in managing employee stress in the IT industry.
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.