Integrating smart technologies into circular supply chain management: A framework for sustainable, transparent, and data-driven operations

Authors

https://doi.org/10.22105/sci.v2i2.35

Abstract

The Circular Economy (CE) is gaining momentum as businesses and governments worldwide recognize the need to reduce waste, minimize environmental impacts, and unlock new economic opportunities. Supply chain management, which needs to change to meet circularity principles, is at the center of this shift. This study examines how smart technologies support Circular Supply Chain Management (CSCM), emphasizing how they can change conventional methods into more adaptable, efficient, and sustainable systems. The potential for improving efficiency, sustainability, and resilience has led to a great deal of interest in the integration of smart technologies in supply chain management. In the framework of CSCM, which attempts to reduce waste and maximize resource use throughout the product lifecycle, this article investigates the deployment of smart technology. This study identifies several smart technologies, including the Internet of Things (IoT), blockchain, Artificial Intelligence (AI), and big data analytics, and investigates their roles in supporting CSCM practices through a thorough analysis of the available literature. This paper also addresses the advantages, difficulties, and potential applications of smart technology adoption in CSCM. The results add to our understanding of how businesses might use smart technology to make it more sustainable.

Keywords:

Smart technologies, Circular supply chain management, Internet of things, Blockchain, Artificial intelligence, Big data analytics, Sustainability

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Published

2025-06-20

Issue

Vol. 2 No. 2 (2025): Smart City Insights

Section

Articles

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How to Cite

Ghandehari, M., Najafi, S. E., & Alijani, H. (2025). Integrating smart technologies into circular supply chain management: A framework for sustainable, transparent, and data-driven operations. Smart City Insights, 2(2), 68-76. https://doi.org/10.22105/sci.v2i2.35

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