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Digital Intelligence Driving Corporate Green Supply Chain Upgrades—A Case Study of Schneider Electric
- 1 School of Transportation Engineering, Dalian Maritime University, Dalian, China
* Author to whom correspondence should be addressed.
Abstract
Schneider Electric actively practices green intelligent manufacturing and has established multiple "lighthouse factories" worldwide. By leveraging digital technologies, the company has built a green and efficient supply chain spanning the entire production process, achieving operational efficiency improvements and sustainable development. Through the application of big data, IoT, cloud computing, and other technologies, the enterprise can precisely monitor resource utilization and environmental impacts across supply chain segments, optimize logistics transportation, and reduce carbon emissions and energy consumption. Meanwhile, digital-intelligent technologies enhance supply chain transparency and compliance, effectively lowering operational risks and costs. The core enterprise drives collaborative technological innovation, guiding upstream and downstream partners to co-create a green industrial ecosystem and realize sustainable development across the entire industry chain. Taking Schneider Electric as a case study, this paper explores the mechanism of digital-intelligent technologies in corporate green supply chain upgrading based on resource orchestration theory. The research indicates that digital-intelligence-driven green transformation undergoes two transitions: progressing from the informatization stage to the intelligent stage, ultimately reaching the ecological stage. This evolutionary process constructs a three-phase pathway from green infrastructure construction to green capability enhancement and finally to green ecosystem establishment.
Keywords
Digital intelligence, green supply chain, resource orchestration theory, schneider electric
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Cite this article
Chen,H. (2025). Digital Intelligence Driving Corporate Green Supply Chain Upgrades—A Case Study of Schneider Electric. Advances in Economics, Management and Political Sciences,179,1-6.
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Volume title: Proceedings of the 9th International Conference on Economic Management and Green Development
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