Exploring the Drivers and Effects on Supply Chain Resilience and Performance in an Emerging Market Using Artificial Intelligence

The worldwide supply chain has experienced significant obstacles in recent years, owing to causes such as opposed to globalization opinions, increasing trade protectionist policy, and the adverse effects from occurrences like the COVID-19 pandemic. The goal of this study is to gain insight into those variables that influence organizations' preparedness to deploy AI (artificial intelligence) technology, and to examine whether this deployment influences the resilience of their supply chains and efficiency. We collected survey data from 125 Indian businesses and utilized Structural Equation Modelling to investigate our hypotheses, according to the research, the corresponding advantages of business artificial intelligence (AI), supply chain collaboration, and environmental volatility identified as major elements encouraging AI approval, leading to improved supply chain efficiency. By widening the application and effect of AI technology, this investigation addresses a significant vacuum for studies on the behavior of organizations adopting artificial intelligence (AI) in the supply chain field. The study's findings offer beneficial perspectives and practical consequences for firms considering the usage of artificial intelligence (AI) technologies.

I. Introduction

In recent years, artificial intelligence (AI) has opened up new possibilities and opportunities in various industries, and the supply chain is no exception. AI-driven technologies and capabilities highly responsive to changing market dynamics. This article explores the relationship between AI drivers and the supply chain, shedding light on how AI can enhance supply chain performance and competitiveness [1]. This artificial intelligence streamlines operations, reduces errors, and improves overall efficiency, enabling supply chains to handle complex tasks and adapt quickly to dynamic market conditions. AI technologies offer advanced predictive analytics capabilities, allowing supply chains to anticipate