Journal of Advanced Research in Global Supply Chain Management and Logistics Innovation

Culinary Tourism Facilitated by Cooperative Tourism: Food Initiatives and Experiences

2026-03-20T10:47:31+00:00

Abstract

Culinary tourism is an emerging sector of global tourism, driven by travellers seeking authentic local food experiences as a primary or complementary motivation. Kerala, a coastal state in southern India, is renowned for its rich culinary heritage shaped by centuries of cultural exchange, local agriculture, and distinctive gastronomic traditions. This study critically examines culinary tourism in Kerala through the lens of cooperative tourism food operations, highlighting how these models facilitate immersive gastronomic experiences while promoting community participation, sustainability, and equitable benefit sharing.

The research explores how cooperative frameworks structure food production and service, engage visitors in participatory culinary experiences, and optimise operational efficiency. Drawing on principles from food systems management and operational research—including discrete-event simulation and design space exploration methodologies adapted from the poultry fillet processing industry—the study investigates the intersection of experiential tourism and food systems optimisation.

Road on Wheels: The Advancement of Tourism Initiatives through Kerala Cooperative Tourism

2026-03-20T10:51:55+00:00

Abstract

Kerala, the southwestern coastal state of India, is widely recognised for its outstanding natural beauty, intricate network of backwaters, verdant landscapes, and a vibrant mosaic of cultural traditions. Tourism forms one of the cornerstones of Kerala’s economy, contributing significantly to employment, state revenues, and the preservation and dissemination of intangible cultural heritage. However, the sector faces mounting challenges, including the threats posed by extreme climatic events—most notably, the devastating floods of 2018 and 2019—as well as the need to ensure inclusive economic growth and sustainable community development.

In this context, the concept of “Road on Wheels” (ROW) projects, implemented under the aegis of Kerala’s cooperative tourism movement in association with cooperative bank societies and leveraging cooperative bank funds, holds the potential to transform the tourism landscape of Kerala. By integrating transportation-based experiential tourism with the ethos of cooperative participation and the financial muscle of Kerala’s robust cooperative banking sector, ROW projects can foster resilience, inclusivity, and sustainability in Kerala’s tourism industry.

Agentic Artificial Intelligence for Port Logistics Optimization: A Secondary Research Study on Operational Efficiency and Governance in Adani Ports

2026-03-20T10:57:16+00:00

Abstract

The rapid expansion of global trade has significantly increased the complexity of port logistics operations, particularly in large-scale ports such as those operated by Adani Ports and Special Economic Zone (APSEZ). This study adopts a secondary research approach to examine how agentic artificial intelligence (AI) can enhance logistics optimisation in port environments. Existing literature, industry reports, and academic studies are analysed to identify key operational inefficiencies, including congestion, inefficient berth allocation, unpredictable vessel scheduling, and lack of coordination among logistics stakeholders.

Traditional port management systems largely depend on centralised decision-making and predictive analytics, which often fail to respond dynamically to real-time operational changes. Agentic AI, characterised by autonomous and collaborative decision-making agents, offers a transformative solution by enabling real-time coordination across multiple logistics functions such as cargo handling, vessel scheduling, and container management.

This research synthesises existing studies on AI in supply chain management, multi-agent systems, and smart port technologies to propose a conceptual framework for AI-driven logistics optimisation. Additionally, the study highlights the importance of governance mechanisms, including transparency, accountability, and human oversight, to ensure safe and ethical implementation of autonomous systems in critical infrastructure.

The findings suggest that the integration of Agentic AI can significantly improve operational efficiency, reduce vessel turnaround time, and enhance overall port productivity. This research contributes to the growing body of knowledge on intelligent logistics systems and provides strategic insights for policymakers and port authorities aiming to adopt advanced AI-driven solutions.

Agentic Artificial Intelligence for Port Logistics Optimization: A Secondary Study on Operational Efficiency at Adani Ports

2026-03-20T11:02:56+00:00

Port logistics is a critical component of global trade, yet it continues to face persistent challenges such as congestion, inefficient berth allocation, unpredictable vessel schedules, and poor coordination among stakeholders. This secondary research paper examines the potential of agentic artificial intelligence (AI) in addressing these operational inefficiencies, with a specific focus on Adani Ports and Special Economic Zone (APSEZ), one of India’s largest port operators.
The study is based entirely on secondary data collected from academic journals, industry reports, and existing literature on artificial intelligence, logistics management, and smart port systems. It critically evaluates current technological applications in port logistics, which are largely limited to predictive analytics and decision-support systems, and identifies a significant gap in autonomous decision-making and real-time coordination.
Agentic AI, characterised by multiple autonomous agents capable of independent decision-making and collaboration, is explored as a transformative solution. The research proposes a conceptual framework where AI agents manage key logistics functions such as vessel scheduling, berth allocation, cargo handling, and container yard optimisation. The study also highlights the importance of governance, transparency, and human oversight in deploying such systems within critical infrastructure.
The findings suggest that integrating agentic AI into port operations can significantly reduce vessel turnaround time, enhance resource utilisation, and improve overall operational efficiency. However, successful implementation requires robust governance frameworks to mitigate risks associated with automation. This research contributes to the growing body of knowledge on AI-driven logistics systems and provides strategic insights for the development of intelligent port ecosystems.

Strategies for Managing a Green Supply Chain

2026-04-06T05:49:15+00:00

Green Supply Chain Management (GSCM) adds environmental factors to regular supply
chain tasks such as product design, procurement, production, shipping, distribution, and end-
of-life management. The fundamental goal of GSCM is to reduce harm to the environment
while keeping or enhancing economic performance and competitive edge. This method
stresses things like buying things that are good for the environment, using resources wisely,
cutting down on waste, recycling, reverse logistics, and using clean technologies. By using
GSCM, businesses may lower their carbon emissions, save energy and resources, and follow
environmental rules. They can also meet the growing demand from customers for eco-
friendly products. GSCM also encourages suppliers, manufacturers, distributors, and
customers to work together to reach common sustainability goals. Even if problems like high
initial costs, a lack of experience, and a reluctance to change may make it harder to adopt, the
long-term benefits—such as saving money, improving the brand image, lowering risk, and
making operations more efficient—are worth it. Green supply chain management (GSCM) is
the process of making traditional supply chains more environmentally friendly by using the
4R1D principle (reduce, reuse, recycle, reclaim, and degradable). This includes everything
from manufacture to operations to end-of-life management. Supply chain sustainability tries
to lessen the effects of things like pollution, deforestation, ozone depletion, and global
warming on the environment. There are several possible solutions, such as using the right-
sized boxes for smaller shipments instead of larger ones, or using recyclable paper pads
instead of plastic packing. In general, green supply chain management is very important for
fostering sustainable development since it balances economic progress with social well-being
and environmental responsibility. This is what this article is all about.