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Title: The Shock of Corruption on GDP Per Capita: A Panel Data Postmortem on the South Asian Region

Abstract: Corruption is characterized as the exploitation of entrusted authority for personal advantage, often taking the form of illegal acts, deceit, or bribery, and is broadly regarded as harmful to economic progress. Although some research indicates that corruption might enhance certain economic activities, it is primarily perceived as a major obstacle to sustainable development on a global scale. The research question of this study is: What is the effect of corruption on GDP per capita in South Asian nations between 1995 and 2016? This investigation examines the link between corruption, as assessed by the Corruption Perception Index (CPI), and GDP per capita in South Asia. By employing a Generalized Least Squares (GLS) model, the study seeks to analyze the impact of corruption on GDP per capita. The results reveal a significant negative association between corruption and GDP per capita, indicating that corruption hinders economic growth in the region. Therefore, it is crucial for the governments of these nations to adopt effective strategies to address corruption and foster sustainable economic development.

By Md. Mahmudul Hassan, Tareq Imam Zahid
In Volume: 14,Issue: 1
Title: Gender Dimension and Safety Issue of Female Workforce of the Garment Industries in Bangladesh

Abstract: Bangladesh is one of the most prominent developing country in the world, the RMG sector is one of the prime earning sources of Bangladesh. Now Bangladesh is listed one of the gigantic garment exporters of the world. The garment industry is around Eighty four percent of total exports zone of Bangladesh. In Bangladesh more than four million people are worked in this garments industry. Around eighty percent (that is, 3.2 million workers) of the garment workers are female in Bangladesh. According to Bangladesh Garment Manufacturers and Exporters Association (BGMEA), the female garments workers are victim of high prevalence of violence and injustice in the work place. The violence and injustice the female garments workers are faced are adversely affect their physical and mental state. This research paper discusses the complication of gender dimension, fitness, well being and protection matters and hurdle of female garment workers of Bangladesh. Here the author used regression analysis, chi-square test, pearson R test, independent T test in order to explain the factors affect safety issue of female garments workers and the injustice towards them.

By Samira- Binte- Saif
In Volume: 14,Issue: 1
Title: The Impact of Pawnbroking on Local Communities with special reference to Bangladesh

Abstract: This study examines pawnbroking's impact on social entrepreneurship and its implications for social development. It posits that Pawnbroking aids vulnerable entrepreneurs, often excluded from formal credit, in accessing quick financial resources, thereby enhancing social entrepreneurship. Through a meta-analysis and literature review, including three case studies from Bangladesh, the findings indicate that, despite exploitative practices, pawnshops are vital for providing the impoverished with financial access and supporting social welfare. However, risks such as asset loss, debt cycles, and exploitation of desperate borrowers are also highlighted. The study emphasizes the need for regulatory oversight and more accessible financial systems that protect borrowers while maintaining accessibility. Overall, pawnbroking offers both advantages and challenges for local communities in Bangladesh, necessitating a balance between quick cash access and consumer protections to promote healthier community dynamics.

By José G. Vargas-Hernández, Amina Khatun, Csongor Czipf, Absalón J. Salmerón-Zapata
In Volume: 14,Issue: 1
Title: Ethical AI Integration and the Future of Employee Rights at Work

Abstract: Artificial Intelligence (AI) has become increasingly central to both economic progress and modern business practices. While much public discussion has centered on the societal and ethical dimensions of AI—particularly in relation to data privacy and human rights—there has been comparatively less attention on how AI is transforming traditional workplace dynamics, especially in the area of occupational health and safety. Although concerns about human rights and gig economy conditions are well-documented, the potential implications of AI for day-to-day worker safety remain underexplored. This paper seeks to fill that gap by introducing a conceptual framework for an AI Work Health and Safety (WHS) Scorecard. This tool is designed to help identify and manage workplace risks linked to AI deployment. Drawing from a qualitative, practice-oriented research project involving organizations actively implementing AI, the study outlines a set of health and safety risks derived from aligning Australia’s AI Ethics Principles and Principles of Good Work Design with the AI Canvas—a tool traditionally used to evaluate AI’s commercial value. The study’s key innovation lies in a newly developed matrix that maps known and anticipated WHS and ethical risks across each stage of AI adoption, offering a structured approach to evaluating AI’s workplace impact.

By Kanika Maheshwari
In Volume: 14,Issue: 1
Title: The Role of Social Media Marketing Strategies in Promoting Uttarakhand Tourism

Abstract: This study explores the role of Social Media Marketing Strategies (SMMSs) in promoting tourism in the Indian state of Uttarakhand. With the rise of digital platforms such as Instagram, Facebook, YouTube, and WhatsApp, social media has become a pivotal tool for destination branding, customer engagement, and tourism outreach. The research adopts a qualitative, descriptive design and relies solely on secondary data, including academic literature, government tourism reports, and digital platform analytics. The paper identifies key determinants of successful social media marketing in tourism content quality, user-generated content, influencer marketing, real-time engagement, and platform-specific strategies. Uttarakhand's current digital efforts are largely focused on basic visual content, with limited use of advanced engagement tools like Social CRM or influencer-led campaigns. It critically evaluates the current approach using a SWOT analysis framework and identifies both achievements and gaps in platform utilisation, content localisation, and targeted advertising. This evaluation provides detailed recommendations to improve digital outreach, including platform diversification, technological innovation, regional inclusion, and sustainable tourism promotion. The findings suggest that while Uttarakhand has made significant progress in digital tourism marketing, an integrated and adaptive strategy is essential to achieve long-term success in an increasingly competitive and dynamic tourism landscape. The research concludes by offering practical recommendations, including developing multilingual content, deeper influencer collaboration, improved feedback mechanisms, and benchmarking against digitally mature tourism states. These strategies can help Uttarakhand maximise its tourism potential by aligning digital marketing practices with evolving traveller behaviours.

By Vijendra Kumar, Bushra Mateen
In Volume: 14,Issue: 1
Title: The Shock of Corruption on GDP Per Capita: A Panel Data Postmortem on the South Asian Region

Abstract: Corruption is characterized as the exploitation of entrusted authority for personal advantage, often taking the form of illegal acts, deceit, or bribery, and is broadly regarded as harmful to economic progress. Although some research indicates that corruption might enhance certain economic activities, it is primarily perceived as a major obstacle to sustainable development on a global scale. The research question of this study is: What is the effect of corruption on GDP per capita in South Asian nations between 1995 and 2016? This investigation examines the link between corruption, as assessed by the Corruption Perception Index (CPI), and GDP per capita in South Asia. By employing a Generalized Least Squares (GLS) model, the study seeks to analyze the impact of corruption on GDP per capita. The results reveal a significant negative association between corruption and GDP per capita, indicating that corruption hinders economic growth in the region. Therefore, it is crucial for the governments of these nations to adopt effective strategies to address corruption and foster sustainable economic development.

By Md. Mahmudul Hassan, Tareq Imam Zahid
In Volume: 14,Issue: 1