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.
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.
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: In India, television reality programs have become a popular genre thanks to its relevant themes and lively content. But their quick expansion has spurred discussions about moral behavior, the effects on society, and legal issues. With an emphasis on reality television, this essay critically evaluates India's broadcasting laws and regulations, assessing how well they handle issues with participant exploitation, content manipulation, and cultural deterioration. The paper explores the legal framework that governs broadcasting in India, including the Broadcasting Content Complaints Council (BCCC) and the Cable Television Networks (Regulation) Act, 1995. It draws attention to the shortcomings of current legislation, which is vague in addressing the subtleties of reality programs and results in problems like manufactured narratives, participant psychological suffering, and transgressions of decency standards. These difficulties are highlighted by case studies of well-known programs like Bigg Boss, Indian Idol, and Roadies, which offer insights into the sociocultural ramifications of such programming. The study also identifies areas for improvement by contrasting India's broadcasting laws with international regulatory standards. Among the recommendations are the introduction of specific rules for reality television, the reinforcement of self-control systems, and the encouragement of media literacy among audiences. Reforming broadcasting laws in the digital age is essential, according to the report, which promotes a balanced strategy that protects the public interest, participant welfare, and creative freedom. By emphasizing the necessity of strong controls in India's changing media landscape, this study seeks to advance the conversation on media ethics and policy.
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.
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.