Optimizing Sustainable Supply Chains: Integrating Environmental Concerns and Carbon Footprint Reduction through AI-Enhanced Decision-Making in the USA

In today's dynamic business environment, sustainable supply chain management (SSCM) is emerging as a critical factor for organizations aiming to balance profitability with environmental responsibility. This study delves into integrating artificial intelligence (AI) technologies to optimize sustainable supply chains and foster environmentally conscious decision-making processes. The research demonstrates their capability to accurately predict supplier and consumer categories by applying advanced machine learning techniques, specifically Random Forest and Neural Networks. The AI-driven models exhibited superior performance compared to conventional methods, emphasizing their potential to enhance supply chain efficiency while minimizing environmental impact. The findings indicate that AI can be pivotal in revolutionizing supply chain operations by providing actionable insights, optimizing resource allocation, and reducing carbon footprint. As businesses worldwide face increasing pressure to adopt sustainable practices, integrating AI in supply chain management offers a promising pathway to drive eco-friendly initiatives, improve operational efficiency, and meet stakeholder expectations for environmental stewardship.

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Publication Details

Journal
Journal of Economics Finance and Accounting Studies
Published
2024-08-21
DOI
https://doi.org/10.32996/jefas.2024.6.4.7
Citations
9
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
4.99
Controls
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article

Optimizing Sustainable Supply Chains: Integrating Environmental Concerns and Carbon Footprint Reduction through AI-Enhanced Decision-Making in the USA

MD Rokibul Hasan, Arifur Rahman, Abdullah Al Mukaddim, Mohammad Abir Hider et al.
9 citations
Journal of Economics Finance and Accounting Studies
Supply Chain Resilience and Risk Management
4.99
article

Optimizing Sustainable Supply Chains: Integrating Environmental Concerns and Carbon Footprint Reduction through AI-Enhanced Decision-Making in the USA

MD Rokibul Hasan, Arifur Rahman, Abdullah Al Mukaddim, Mohammad Abir Hider, Reza E Rabbi Shawon, MD Azam Khan, MD Abdul Fahim Zeeshan
article en
9 citations

Abstract

In today's dynamic business environment, sustainable supply chain management (SSCM) is emerging as a critical factor for organizations aiming to balance profitability with environmental responsibility. This study delves into integrating artificial intelligence (AI) technologies to optimize sustainable supply chains and foster environmentally conscious decision-making processes. The research demonstrates their capability to accurately predict supplier and consumer categories by applying advanced machine learning techniques, specifically Random Forest and Neural Networks. The AI-driven models exhibited superior performance compared to conventional methods, emphasizing their potential to enhance supply chain efficiency while minimizing environmental impact. The findings indicate that AI can be pivotal in revolutionizing supply chain operations by providing actionable insights, optimizing resource allocation, and reducing carbon footprint. As businesses worldwide face increasing pressure to adopt sustainable practices, integrating AI in supply chain management offers a promising pathway to drive eco-friendly initiatives, improve operational efficiency, and meet stakeholder expectations for environmental stewardship.

Journal of Economics Finance and Accounting StudiesVol. 6(4)
American University (US), Grand Canyon University (US), Gannon University (US)
Responsible consumption and production
Openalex Percentile: Top 5%
Supply Chain Resilience and Risk Management
4.99
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