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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: 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 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: 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