The increasing integration of artificial intelligence (AI) in education is transforming classrooms globally, raising concerns about intellectual autonomy, governance, and sovereignty. The proliferation of AI tools, such as generative content models, plagiarism detection software, and automated grading systems, fuels worries about over-reliance on proprietary digital infrastructures. Educational institutions are becoming part of digital empires controlled by global tech companies, where external entities often dictate data governance and decision-making. The increasing reliance on AI in academic institutions poses a threat to academic sovereignty, particularly in curriculum design, evaluation, and the autonomy of teaching. Ethical issues, such as algorithmic bias, data privacy, and standardised knowledge production, highlight the need for transparent frameworks that foster trust and ensure fair access. Instances of biased AI-generated content underscore the importance of openness and accountability in AI deployment. This paper examines how national governments address their dependence on foreign digital infrastructures while fostering local AI innovation and exploring policy interventions that promote autonomous, controlled, and inclusive academic AI ecosystems. It advocates for a new approach to global educational collaboration that balances innovation with academic sovereignty, fostering equitable knowledge production in the age of AI.
The bibliometric literature review discusses the ways in which community-based tourism contribute to tribal empowerment and sustainable development thus responding to the long-term national vision of viksit Bharat @ 2047. The review identifies key dimensions of CBT Livelihood enhancement, Cultural preservation, participation in local governance and entrepreneurship of tribal communities. Authors and journal contributors’ thematic clusters and patterns of research at a country level are assessed to understand global and regional academic interest in the field of tribal community development through tourism. A dataset of studies publishes between 2000 and 2025 indicate a study growth of CBT focused research. Reflecting the increasing international recognition of indigenous -led tourism as a tool for inclusive growth. Key contributors include the journals of sustainability, tourism management prospective, journal of sustainable tourism and current issue in tourism. Finding indicate that CBT enhances social economic resilience, provides support to environmental stewardship and includes community ownership of tourism resources. India Nepal and Malaysia stand out as the leading contributors in this domain.
The paper presents a comprehensive review of literature relevant to impact of Deen Dayal Upadhyaya Grameen Kaushal Yojana (DDU-GKY) on employment generation programs in India. The paper critically analyses studies specifically related to the DDU-GKY program and its impact. The paper concludes by identifying the research gaps that emerge from the existing body of literature. Numerous studies have examined rural employment programs, including the DDUGKY. However, there is a notable absence of comprehensive evaluations that specifically address the nuanced impact of DDU-GKY on rural employment generation in a regional context. Many studies focus on national-level evaluations or compare various rural development programs, often neglecting the specific socio-economic and structural challenges faced by states. Post-placement dynamics like job retention, income sustainability, and long-term economic mobility of the beneficiary were overlooked. The existing literature does not capture whether DDU-GKY promotes sustainable livelihood transitions or effectively addresses the interconnected dimensions of poverty distinct to rural communities across India.
The rapid integration of artificial intelligence (AI) into workplaces is fundamentally reshaping the nature of work, giving rise to AI-augmented labour systems in which human workers and intelligent technologies collaboratively perform tasks. This paper examines the future of work through the lens of AI-augmented labour, with a dual focus on productivity enhancement and the ethical challenges emerging from this transformation. It explores how AI tools as machine learning algorithms, intelligent automation, decision-support systems, and generative AI are redefining job roles, skill requirements, and organizational structures across sectors. From a productivity perspective, the study analyses how AI augmentation improves efficiency, accuracy, and speed in both routine and complex tasks. AI-enabled systems can reduce human error, optimize workflows, and enable data-driven decision-making, thereby enhancing individual and organizational performance. Rather than fully replacing human labour, AI increasingly complements human capabilities by automating repetitive functions while allowing workers to focus on higher-order cognitive, creative, and interpersonal activities. However, these gains are unevenly distributed across occupations and skill levels, raising concerns about job polarization and the marginalization of low-skilled and routine-based roles. Alongside productivity gains, the paper critically evaluates the ethical implications of AI-augmented labour. Key issues include workplace surveillance and monitoring, privacy infringement, algorithmic bias, erosion of worker autonomy, psychological stress, and the shifting balance of power between employers and employees. The use of AI in performance evaluation, hiring, and task allocation can introduce opacity and bias, potentially undermining trust and fairness in employment relationships. Moreover, continuous monitoring enabled by AI systems may intensify work pressure and blur boundaries between professional and personal life. The study emphasizes the importance of ethical governance, inclusive policy frameworks, and responsible AI design to ensure that AI augmentation leads to sustainable and equitable outcomes. It argues for reskilling and upskilling initiatives, human cantered AI approaches, transparency in algorithmic decisionmaking, and regulatory oversight to protect worker rights. By integrating productivity and ethical considerations, this paper contributes to a balanced understanding of AI-augmented labour and offers insights into how organizations and policymakers can shape a future of work that is both efficient and humane.
Purpose: As more companies embrace the idea of giving back to society, this study aims to explore how scholars have delved into the relationship between Corporate Social Responsibility (C.S.R.) and firms’ financial performance. Recognizing the growing importance of C.S.R. not only as a tool for strategic management but also as a response to strengthening the stakeholder expectations, this paper aims to provide a comprehensive overview of the evolving research landscape in this area. Specifically, it investigates the trends in scholarly interest, identifies the leading authors and prominent journals, and maps the collaborative networks that have shaped this field. Moreover, the study highlights the emerging themes and shifts in focus within the literature, offering insights into how C.S.R.-related financial performance research has developed over time. Design/Methodology/Approach: A bibliometric analysis was conducted on the basis of secondary data collected through the Scopus database from the year 2015 to February 2025. Analytical software such as VOSviewer and Microsoft Excel were utilized to perform performance analysis and science mapping by concentrating on publication output, citation patterns, high- authorship authors and institutions, and keyword co-occurrence networks. Novelty: Differing from previous reviews that at times lacked methodological scope or rigor, this review presents a systematic visual and statistical account of scholarly progress. Adding further depth to understanding collaboration structures and thematic focuses is the integration of bibliometric coupling and co-authorship networks. Findings: The findings indicate a consistent increase in C.S.R.-related publications with strong contributions from the developed world. Influential authors and high-impact journals have been the propellers, but interregional collaboration is in its infancy. Keyword extraction indicates the shift from broad C.S.R. topics to sustainability, stakeholder, ESG, and financial integration over time. The research indicates increased sophistication and multidimensionality of the C.S.R.– financial performance relationship and identifies areas of future research in underemphasized regions and emerging economies.
