Green Supply Chain Management in the Automotive Industry: A Path to Sustainability

The automotive industry is more and more adopting Green Supply Chain Management (GSCM) practices to mitigateenvironmental impact, enhance operational efficiency, and beautify financial performance. This research explores the importantthing drivers, challenges, and the role of industry 4.0 technologies within the adoption of GSCM. Findings suggest that regulatory pressures, cost performance, and purchaser demand are the primary drivers, while high implementation prices, supply chain complexity, and resistance to trade stay vast boundaries. This study highlights how industry 4.0 technologies, which include Artificial Intelligence (AI), the Internet of Things (IoT), and blockchain, facilitate supply chain optimization, carbon footprint reduction, and stronger transparency. Furthermore, the studies assesses the effect of GSCM on environmental, operational, and financial overall performance, demonstrating that industry implementing sustainable practices revel in long-term profitability and aggressive benefits. The research contributes to present literature by integrating the Resource-Based View (RBV) and Institutional Theory, emphasizing the need for strategic funding and collaboration to gain sustainability goals. Despite its contributions, the study recognizes obstacles associated with facts collection and industry scope, recommending future studies on nearby versions, SME adoption, and lengthy-term financial consequences. Ultimately, the study reinforces the need for automotive corporations to include GSCM as a strategic vital for sustainability and market competitiveness.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-10
DOI
https://doi.org/10.5281/zenodo.16790013
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

Green Supply Chain Management in the Automotive Industry: A Path to Sustainability

Zenodo (CERN European Organization for Nuclear Research)
Impact of AI and Big Data on Business and Society
article

Green Supply Chain Management in the Automotive Industry: A Path to Sustainability

article en

Abstract

The automotive industry is more and more adopting Green Supply Chain Management (GSCM) practices to mitigateenvironmental impact, enhance operational efficiency, and beautify financial performance. This research explores the importantthing drivers, challenges, and the role of industry 4.0 technologies within the adoption of GSCM. Findings suggest that regulatory pressures, cost performance, and purchaser demand are the primary drivers, while high implementation prices, supply chain complexity, and resistance to trade stay vast boundaries. This study highlights how industry 4.0 technologies, which include Artificial Intelligence (AI), the Internet of Things (IoT), and blockchain, facilitate supply chain optimization, carbon footprint reduction, and stronger transparency. Furthermore, the studies assesses the effect of GSCM on environmental, operational, and financial overall performance, demonstrating that industry implementing sustainable practices revel in long-term profitability and aggressive benefits. The research contributes to present literature by integrating the Resource-Based View (RBV) and Institutional Theory, emphasizing the need for strategic funding and collaboration to gain sustainability goals. Despite its contributions, the study recognizes obstacles associated with facts collection and industry scope, recommending future studies on nearby versions, SME adoption, and lengthy-term financial consequences. Ultimately, the study reinforces the need for automotive corporations to include GSCM as a strategic vital for sustainability and market competitiveness.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Impact of AI and Big Data on Business and Society
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