The Impact of Big Data on the Development of Sustainable Logistics Supply Chain Management
Abstract
With the advancement of information technology in recent years, it has become the norm for businesses to employ big data for supply chain management. Using logistics firms as an example, this article describes the function of big data analytics in logistics supply chain management, uncovers the truth behind the data, and offers a foundation for enterprise management and decision-making. The big data supply chain management style of logistics companies is not yet completely developed, and there are several problems, such as the need to enhance product quality, perfect data administration, and increase industrial optimisation. Therefore, the integration of big data and the logistics supply chain should be increased to encourage the rapid development of both.
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Jha (2022). An Analysis of Barriers to Sustainable Supply Chain Management Implementation: The Fuzzy DEMATEL Approach. Sustainability, 14(20).
Chen LL (2021). Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0. International Journal of Production Economics, 238, 108157.
DOI: http://dx.doi.org/10.18686/mmf.v6i8.8876
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