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Title: A Qualitative Analysis of 40 Case Studies on BUBT Students' Admission Experience and Satisfaction

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.

By S.K.S. Yadav, Tasfiunnoor Pinky, Dhwani Gupta
In Volume: 15,Issue: 1
Title: The Role of Artificial Intelligence in Digital Transformation: opportunities, challenges and Future Directions

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.

By S.K.S. Yadav, Kavita
In Volume: 15,Issue: 1
Title: The Dynamics of Broadcasting Law and Reality TV in India: Legal and Ethical Challenges

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.

By Jyoti Rawat Lohiya, Sarika Tyagi
In Volume: 15,Issue: 1
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: Digital Payments and Fraud in India: A Systematic Review of UPI's Growth and Machine Learning-Based Detection Frameworks

Abstract: India's Unified Payment Interface (UPI) can be stated as the most revolutionary payment system of the twenty-first century. It processed over 21 billion transactions worth ?27.97 lakh crore in December 2025 alone. These figures dictate both its remarkable reach and the security challenges it presents. Since its launch in April 2016 by the National Payments Corporation of India (NPCI), UPI has outpaced traditional digital payment systems, and now over 85% of digital transactions in India are done using UPI. Though the growth is remarkable, it allows new kinds of frauds and scams to arise. Studies show that digital fraud has surged by 346% during COVID-19. This paper examines the empirical and review studies from 2017 to 2026 related to the intersection of UPI’s exponential growth and evolving landscape of digital payment frauds in India. The study critically evaluates the most dominant types of fraud typologies, like phishing, QR code manipulation, KYC impersonation, and social engineering scams, along with the methods used for the prevention of such types of fraud, like machine learning and deep learning architectures. The review finds that machine learning and deep learning architectures achieved over 99% accuracy in the detection of fraud. There are still persistent challenges like class imbalance, data privacy, and adaptive fraudulent behavior. The paper argues that effective fraud mitigation and prevention require more than algorithmic advancement. A multi-layered response integrating system, regulatory dimensions, and user awareness is still required to tackle and prevent fraudulent activities.

By Abhishek Mishra and Dr. Mahendra Pal Singh Yadav
In Volume: 15,Issue: 1
Title: Test Paper

Abstract: Abstract Example

By Dr Sandeep Kumar Gupta
In Volume: 15,Issue: 1

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