Abstract: Based on in-depth case studies of forty students from all academic departments, this study offers a thorough qualitative examination of the admission experiences and satisfaction of students at Bangladesh University of Business and Technology (BUBT). This study finds important factors impacting admission decisions, student happiness, and retention intentions using NVivo 14 software for rigorous qualitative data analysis.
The results show a complicated paradox: although 90% of students selected BUBT mainly because of its reasonably priced tuition (20,000–25,000 BDT per semester), they also voiced serious discontent with the qualifications of the instructors, classroom conduct, bullying on Facebook, and subpar housing. With 92.5% of female students satisfied, the proctorial system was found to be the most favorable element. Nonetheless, 65% of students said they had witnessed or experienced instructor annoyance in the form of yelling, canceling classes, or acting insultingly, and 85% of students desired senior teachers with PhDs.
The fact that 80% of students said they would be willing to pay an additional 5,000–10,000 BDT per semester if BUBT hired internationally renowned PhD staff and addressed behavioral concerns with teachers is also remarkable. Additionally, 45% of students saw their institution rating as a direct advantage for their own careers, according to the report. Eight evidence-based recommendations, with projected implementation timescales ranging from immediate to two years, are included in the research's conclusion. These recommendations include urgent PhD faculty recruitment, teacher training programs, hostel expansion, and official Facebook group moderating.
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: This paper intends to argue that incorporating entrepreneurial education into school and college curricula is essential for developing a creative and resilient mindset in young people, transforming job seekers into producers and improving initiatives like Startup India. It divides its analysis into four main sections: an introduction that presents entrepreneurship as an essential component of education that aligns with SDG 4's objectives for skill development; a comparison of NEP's visionary reforms towards experiential, multidisciplinary learning with pre-NEP 2020 issues like rote learning, vocational silos, and skills mismatches; an analysis of new teaching methods, emphasising flexible structures like credit banks and interdisciplinary enterprise skills; and A list of crucial actions for implementing NEP 2020, including teacher training and innovation councils, have also been analysed. This paper is a descriptive study, which relies on government reports and documents to study the performance of NEP in fostering innovation and entrepreneurship.
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: 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.