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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: Artificial Intelligence and Employment Shifts in India’s E-Commerce Sector: A Sectoral Post-Covid Analysis

Abstract: The COVID-19 pandemic accelerated digital adoption across sectors, rapidly restructuring Indian e-commerce. AI is a critical enabler of operational efficiency-from planning supply chains to automating customer support. The study attempts to understand post-COVID transformations in AI-related employment trends in various e-commerce subsectors in India. While AI threatens entry-level, routine applications, it creates a demand for professional jobs further involving AI development, data science, and digital operations. The study, thus, employs mixed methods, using secondary data sets and qualitative case studies, to comprehend the sectoral landscape of AI impacts on employment. It attempts to understand the potentials and challenges of AI, drawing on assessment of its socio-economic impact so as to arrive at recommendations on reskilling policies and inclusive employment strategies.

By S.K.S. Yadav, Samreen Khan
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
Title: Islamic Banking in Bangladesh: A Case Study of FSIBL and Implications for Indian Islamic Banking Prospects and Societal Banking

Abstract: Islamic banking is reshaping Bangladesh’s financial landscape by offering a Sharia-compliant alternative to conventional banking, particularly through innovative community-driven micro-savings and micro-investment models. This qualitative study analyzes First Security Islami Bank Limited (FSIBL), Bangladesh’s first full-fledged Islamic bank (est. 1999), to draw insights for India’s emerging Islamic banking sector. FSIBL’s success in applying profit-loss sharing (PLS) models—such as Mudarabah-based micro-savings pools converted into agricultural investments and Bai-mode financing for SMEs—alongside mobile banking-enabled societal banking initiatives, demonstrates how Islamic finance can bridge financial inclusion gaps in developing economies. The bank’s CSR-linked community investment programs, which transform small deposits into Waqf-funded local projects, offer a replicable template for India. However, recent governance lapses and liquidity crunches highlight systemic risks in scaling these models without robust safeguards. The study addresses two questions: (1) How does FSIBL’s integration of microfinance with Islamic principles validate its viability in emerging markets? (2) What lessons can India adopt to leverage societal banking wings for grassroots capital formation while avoiding governance pitfalls? Findings reveal that participatory micro-investment frameworks require three pillars: strong Sharia governance (e.g., community oversight committees), depositor protection mechanisms (e.g., taka ful-backed micro-savings), and adaptive asset-liability management (e.g., blockchain-tracked PLS ventures). By examining FSIBL’s journey, the paper proposes actionable strategies for India to harness Islamic banking’s dual social-commercial mandate, advocating for regulatory sandboxes to pilot community savings-to-investment chains and tax-neutrality for micro-investment products. The study concludes that India’s vast SHG networks and digital infrastructure position it to outperform Bangladesh’s model—if integrated with ethical resilience and operational transparency.

By Abu Sayed, Nabila Aktia Chowdhury
In Volume: 14,Issue: 1
Title: Social Intelligence and Burnout among Post Graduate Students

Abstract: This study was aimed to identify the effect of social intelligence on the academic burnout among college students who were studying in different faculties (Science, Commerce, Arts). The data was collected from different colleges situated in Meerut city. A total 300 students studying different colleges under CCS University were participated. Burnout was measured by Copenhagen(2012)’s Burnout Scale while Social Intelligence by Chadda and Ganeshan (2009). Multiple Regression was used to find our predictors for the burnout among college students. Regression Analysis revealed that social intelligence was emerged as important predictor of burnout. Further T test also revealed significance difference between groups. It was found that female students were having more burnout problems as compare to male participants. Students’ social intelligence is a Type a perceiving ability to understand social cues and effectively navigate social situations. It is ability to cope with burnout or stressors and maintain balance between academic and personal life. In this paper the present study has social applied application Academic Achievement, Mental health and general wellbeing can all be affected by social intelligence. Thus the present study is to examine low social intelligence affects college’s student abilities to handle their burnout problems.

By Pratiksha Rani, Manju Khokhar
In Volume: 14,Issue: 1