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Title: GDP, Unemployment, Government Expenditure in Bangladesh: Testing the Relevance of Okun’s Law

Abstract: This study examines the dynamic relationship among Gross Domestic Product (GDP), unemployment, and government expenditure in Bangladesh from 2010 to 2025. The analysis highlights a period of robust economic performance, with GDP growth consistently averaging above 6%, driven primarily by manufacturing, garment exports, and the service sector. Despite the significant disruption caused by the COVID-19 pandemic in 2020, which saw growth dip to 3.45%, the economy demonstrated structural resilience and a rapid recovery. Concurrently, government expenditure has expanded significantly as a fiscal tool for development, particularly through large-scale infrastructure projects and social safety nets. Public spending rose from BDT 1,217 billion in 2016 to over BDT 2,218 billion by 2025. However, this expansionary stance has not fully addressed labor market inefficiencies. Unemployment has remained relatively stable between 3% and 5%, suggesting that the link between GDP growth and job creation is weak, thereby offering only limited support for Okun’s Law in the Bangladeshi context. The study identifies persistent structural challenges, including high youth unemployment and skill mismatches, and concludes that inclusive growth policies and labor market reforms are essential to translate macroeconomic gains into sustainable employment generation.

By S.K.S. Yadav, Imran Hosen, Dhwani Gupta
In Volume: 15,Issue: 1
Title: Chanakya Niti in the Digital Age: A Strategic Approach to Employee Stress Management in IT Sector

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.

By Shreya Panwar, Shivani Gupta
In Volume: 15,Issue: 1
Title: Humanitarian Crises and Refugee Mental Health in Europe: A Psychological Perspective on Forced Migration and Global Governance

Abstract: War, political instability, persecution, human rights violations and natural calamities have forced millions of people to involuntarily run from their homes in search of safety and stability, due to these sorrowful reasons humanitarian crisis arises and explains what really happens with these refugees. Europe has become one of the major destinations for refugees escaping such crises, however their experiences and what they are truly going through in order to survive is frequently reduced to policy debates. This paper strives to understand humanitarian crises, forced migration and refugee mental health challenges in Europe through a psychological perspective along with understanding the importance of global governance. This study uses a qualitative content analysis approach as it uses secondary data from international organization and existing research literature to assess the reasons for forced migration. The refugees who flee from their home countries don't migrate voluntarily because migration for them becomes a vital necessity when safety, dignity and basic rights are threatened to them and their families. They come across financial burden, unemployment, legal uncertainty, social exclusion, discrimination and very limited access to healthcare and mental health services. The existing literature regularly shows that these stressors built-up over time have severe psychological repercussions. The refugees show a very high prevalence of mental health disorders such as post-traumatic stress disorder (PTSD), complex traumatic stress disorder which happens due to persistent exposure to trauma, depressive and anxiety disorders, sleep disturbances and somatic symptom disorders. This study also addresses how India-Europe collaboration would help through policy exchange frameworks and community-based mental health interventions.

By Ojasvi Chaudhary
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: 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: Traditional Continuousness and Market Services: A Mixed-Method Field Study of Khadi Weaving Communities in Cumilla, Bangladesh

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.

By S.K.S. Yadav, Muhammad Mahboob Ali, Kiran
In Volume: 15,Issue: 1

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