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1

Prachi Khosla

Abstract:
This paper explores the evolving role of artificial intelligence in optimizing India’s logistics networks, with a focus on how recent government policies and technological innovations are driving this transformation. The National Logistics Policy and initiatives like PM Gati Shakti, Unified Logistics Interface Platform, and the Open Network for Digital Commerce are fostering digital integration and efficiency across a historically fragmented sector. The paper examines AI applications such as predictive analytics, smart warehousing, route optimization, real-time tracking, and last-mile delivery, highlighting their contributions to reducing costs, improving delivery times, and enhancing customer experience. It also reviews the contributions of leading firms and startups, including Delhivery, Shadowfax, Rivigo, Zomato, Swiggy, LogiNext, Locus, and ElasticRun. Despite the potential, the adoption of AI in Indian logistics faces significant challenges, including high costs, regulatory hurdles, infrastructure deficits, cybersecurity risks, and workforce readiness. The paper discusses these challenges and emphasizes the need for collaborative platforms, targeted policy support, and ethical practices to ensure AI fosters inclusive and sustainable growth in India’s logistics sector.


1-10
2

Aarti Sharma and Dr. Amit Patel

Abstract:
The financial landscape in urban India has changed dramatically due to the quick uptake of mobile payment services, but it's still important to comprehend the elements that influence both initial adoption and ongoing usage. This study looks into the factors that affect Delhi's urban consumers' adoption and intention to continue using mobile payment services. Data from 367 respondents were gathered via a structured survey, and multiple regression methods in R Studio were used for analysis. As important determinants of adoption and continuing intention, the study looked at perceived usefulness (PU), perceived ease of use (PEOU), trust, social influence (SI), satisfaction (SAT), and habit (HAB). The findings show that whereas SAT, HAB, and trust are the main factors influencing continuance intention, PU, PEOU, trust, and SI have a substantial impact on adoption intention. In both models, trust was found to be a consistent predictor, underscoring its crucial role in digital payment engagement. The results give useful information for policymakers and service providers to create user-centric strategies that improve adoption, satisfaction, and loyalty. By combining behavioral, technological, and social aspects to explain mobile payment behavior in the Indian urban context, this study adds to the body of literature.


11-29
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