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Title: A Study on the Trend Analysis of India’s Trade Relations with SAFTA Nations: A Review

Abstract: Countries participating in a regional trading arrangement (RTA) are typically heterogeneous, as evidenced by their variations in geographic size, population, gross national product (GNP), economic systems—reflected in the various types of commodities and services manufactured when traded — and the policy instruments employed through monetary, financial, and trade-related measures that affect national production and trade activities. The diverse attributes of the South Asian Free Trade Area (SAFTA) members significantly impact their benefits from a Regional Trade Agreement (RTA). The South Asian nations within the SAFTA distinctly illustrate their intrinsic disparities while also highlighting an unsettling situation about the inequitable distribution of prospective benefits from through regional collaboration initiative. Although the members of SAFTA members have low-income and the nations are developing, among these —Bhutan, Bangladesh, Nepal and Maldives, —are classified as least developed countries (LDCs) due to many significant challenges that impede their business expansion and development. Thus, the extent to which these issues may impact the SAFTA agreement and the measures India must implement is a crucial inquiry, which serves as the primary purpose of this article. This research also considers the influence among the SAARC members. Analysis of data from several pertinent sources covering the period from 2016-17 to 2022-23 reveals that commerce among SAFTA members has not expanded as considerably as anticipated. The statistical analysis conducted validates the suspicions of numerous scholars, indicating that the SAFTA countries are not genuine trading partners; instead, they frequently compete by exporting identical product categories. Given that this context renders significant growth in mutual trade improbable, the paper finishes with views on enhancing India's regional commerce.

By Manish Upretya, Pankaj Kumar Shah
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: 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: Impacts of Covid-19 Pandemic on Indian Sugar Industry: Challenges, Disruptions and Recovery Pathways

Abstract: The COVID-19 pandemic, which began as a global health crisis, quickly escalated into a far-reaching economic disruption, significantly impacting industries across the world. The Indian sugar industry—one of the country’s most critical agro-based sectors—was no exception. As a key contributor to rural livelihoods, employment, and the national economy, the industry found itself grappling with unprecedented challenges across its entire value chain. The impact was observed from the very first stage of sugarcane cultivation, which faced labor shortages and transportation issues, to the subsequent phases of processing and manufacturing, which suffered from reduced mill capacities and supply chain constraints. Ethanol production, a major revenue source through the Ethanol Blended Petrol (EBP) programme, experienced demand fluctuations tied to global oil market volatility. Moreover, marketing and export activities came to a near halt due to domestic lockdowns and international trade restrictions, resulting in inventory surpluses and financial stress across the sector. This study provides a comprehensive analysis of the multifaceted disruptions caused by the pandemic. It highlights the systemic vulnerabilities exposed during the crisis, the operational and financial challenges encountered by stakeholders—ranging from farmers to mill operators—and the mitigating measures undertaken by both the government and industry associations. In addition, the research proposes a strategic recovery roadmap focused on diversification, supply chain resilience, policy adaptability, and long-term sustainability. By exploring these dimensions, the study aims to contribute to the development of a more robust and crisis-resilient Indian sugar industry in the post-pandemic era.

By Atul Kumar
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

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