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@article{186902,
author = {Shradha Shaga and Dr. Kaveri Lad},
title = {A STUDY OF SUPPLY CHAIN MANAGEMENT PRACTICES ADOPTING IR 4.0 IN AUTOMOTIVE INDUSTRIES IN MAHARASHTRA},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {6},
pages = {3193-3199},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=186902},
abstract = {The rapid advancement of Industry 4.0 (IR 4.0) technologies is transforming traditional supply chain operations into digitally integrated and data-driven systems. This study explores how the adoption of IR 4.0 technologies influences supply chain management (SCM) practices and overall performance within the automotive sector of Maharashtra, India. A mixed-methods approach is employed, combining a structured survey of supply chain professionals from original equipment manufacturers (OEMs) and Tier-1 and Tier-2 suppliers with a series of in-depth interviews. The research focuses on the adoption of key IR 4.0 technologies such as the Internet of Things (IoT), cyber-physical systems, big data analytics, artificial intelligence, and blockchain, and examines their impact on supply chain visibility, agility, collaboration, and resilience. Structural Equation Modelling (SEM) is used to analyze the relationships among these constructs and to test mediating effects of visibility and agility as well as moderating influences of firm size and supply chain tier. The findings are expected to provide empirical insights into the digital transformation of automotive supply chains in Maharashtra and offer practical recommendations for industry practitioners and policymakers aiming to enhance competitiveness through IR 4.0 adoption.},
keywords = {Industry 4.0 (IR 4.0), Supply Chain Management (SCM), Automotive Industry, Digital Transformation, Internet of Things (IoT), Cyber-Physical Systems (CPS), Artificial Intelligence (AI), Big Data Analytics, Blockchain, Supply Chain Visibility, Structural Equation Modelling (SEM), Maharashtra, India.},
month = {November},
}
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