Research on the challenges and countermeasures of applying artificial intelligence in green supply chain management
DOI:
https://doi.org/10.5281/zenodo.15582994Keywords:
Artificial Intelligence, Green Supply Chain Management, challenges, CountermeasuresAbstract
The global proliferation of sustainable development principles has elevated Green Supply Chain Management (GSCM) to a critical position within corporate environmental governance and strategic management frameworks. Concurrently, the accelerated advancement of artificial intelligence (AI) technologies has emerged as a transformative catalyst for supply chain digitalization. The integration of AI in GSCM demonstrates significant potential for enhancing environmental performance, optimizing resource utilization efficiency, and facilitating carbon neutrality objectives. Nevertheless, this technological convergence presents substantial implementation challenges across multiple dimensions. This study conducts a comprehensive examination of the principal barriers hindering AI adoption in GSCM through data, technology, organization, and ethics, while proposing targeted mitigation strategies and optimization approaches. The research outcomes aim to contribute both theoretical foundations and practical implementation guidelines for enterprises pursuing sustainable transformation and intelligent supply chain modernization.
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Copyright (c) 2025 Xiangfei Ji (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
