The Convergence of IoT, Big Data, and International Logistics: Enhancing Supply Chain Efficiency

Authors

  • Lei Zhou Liaocheng University, China

Keywords:

Internet of Things (IoT), Big Data, international logistics, supply chain efficiency, data-driven decision-making, technology adoption

Abstract

This paper explores the transformative convergence of the Internet of Things (IoT) and Big Data within the realm of international logistics, focusing on their collective potential to enhance supply chain efficiency. We delve into the IoT's foundational technology, its role in international logistics, and its adoption within China's logistics networks. Additionally, we examine the significance of Big Data analytics, its applications in supply chain management, and its specific utilization in China's international logistics operations. The paper also highlights the convergence of these technologies, emphasizing their impact on supply chain efficiency and data-driven decision-making. Privacy and security concerns, the cost of technology adoption, workforce training, and international cooperation are addressed as critical challenges. Finally, the paper presents policy recommendations and a forward-looking perspective on the future development of IoT, Big Data, and international logistics.

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Published

2023-09-25

How to Cite

Lei Zhou. (2023). The Convergence of IoT, Big Data, and International Logistics: Enhancing Supply Chain Efficiency. aw and conomy, 2(9), 35–40. etrieved from https://www.paradigmpress.org/le/article/view/800

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Section

Articles