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Title: Study on Investment Pattern of Salaried Class People with Special Reference to Dehradun City

Abstract: Investment patterns among salaried individuals are influenced by various factors, including income levels, financial awareness, risk appetite, and socio-economic conditions. This study aims to analyze the investment preferences of salaried professionals in Dehradun, focusing on their choice of financial instruments such as fixed deposits, mutual funds, stocks, insurance, and real estate. The research examines the factors affecting investment decisions, including risk tolerance, savings behavior, tax benefits, and long-term financial goals. A structured survey was conducted among salaried individuals from diverse professional backgrounds to gather primary data. The findings reveal a preference for low-risk investment options, with a significant inclination toward fixed deposits and insurance, while younger investors show a growing interest in mutual funds and equity markets. The study also highlights the role of financial literacy in shaping investment behavior. The insights from this research can help financial institutions, policymakers, and advisors tailor investment solutions that align with the financial goals of salaried individuals in Dehradun. Additionally, the study underscores the need for enhanced financial education programs to encourage informed investment decisions.

By Pankaj Kumar, Subhash Chandra
In Volume: 14,Issue: 1
Title: Electric Mobility Integration in Indian Urban Planning: Challenges, Opportunities, and Policy Implications

Abstract: India’s urban transport system is facing unprecedented challenges due to rapid population growth, vehicular congestion, and escalating pollution levels. Against this backdrop, the transition toward electric mobility (e-mobility) offers a promising pathway for sustainable urban development. This study investigates the extent to which electric mobility is being integrated into urban planning in Indian cities. It explores critical challenges such as inadequate charging infrastructure, limited policy coordination, and citizen hesitancy. Drawing upon both primary data collected through surveys in five urban centres—and secondary sources from government and institutional reports, the research applies statistical methods, including factor analysis and regression modelling, to examine the drivers of electric vehicle (EV) adoption. The findings reveal that infrastructure readiness and public policy awareness are strong predictors of urban EV acceptance. The study concludes by offering practical policy recommendations, such as zoning reforms and enhanced fiscal incentives, aimed at creating EV-supportive urban environments aligned with national climate goals.

By Shantam Babbar, Rajesh Kumar Raju, Monika Kumari
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: Workplace Diversity and Inclusion: The Role of Organizational Culture

Abstract: Workplace diversity and inclusion (D&I) have become critical drivers of innovation, employee well-being, and organizational performance. The success of D&I efforts, however, depends significantly on the dominant organizational culture, which influences employee attitudes, behaviors, and inclusivity-related policies. This research explores the complex relationship between organizational culture and workplace diversity and inclusion, investigating how cultural values, leadership, and HR policies affect the success of diversity efforts. Based on a comprehensive literature review, case studies, and empirical studies, this research emphasizes the most important aspects of an inclusive organizational culture, including leadership commitment, psychological safety, fair hiring practices, and open communication. It also examines typical obstacles to inclusivity, such as unconscious biases, resistance to change, and structural disparities in organizations. The study also examines the contribution of transformational leadership and corporate social responsibility (CSR) in fostering a positive cultural change towards inclusivity. Findings indicate that organizations with a robust, inclusive culture have more engaged employees, better team collaboration, and better organizational reputation. In contrast, firms that do not embed diversity and inclusion into their cultural narrative stand to see greater turnover, intra-workplace conflict, and diminished innovation. The research concludes by offering strategic recommendations to organizations on how to create and maintain a culture that proactively supports diversity and inclusion through leadership commitment, customized training programs, and inclusive policy making.

By Kajol Morya, K.R. Jain
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
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