Artificial Intelligence for International Supply Chain Management: Overcoming Complexity with Digital Transformations
DOI:
https://doi.org/10.64044/n6yf4f41Keywords:
Artificial Intelligence, Supply Chain Management, Predictive Analytics, Prediction, Automation, Globalization, Resilience, Digital Transformation, Ethics, Machine Learning, Supply Chain DisruptionAbstract
Nowadays, supply chains have evolved into highly complex networks that are becoming ever more interdependent, unpredictable, and vulnerable to disruptions. Their complexity stretches traditional SCM models, requiring the use of more brilliant and reactive systems. An enabling technology that transforms, Artificial Intelligence (AI) provides solutions in predictive intelligence, automation, real-time tracking, and intelligent decision-making. This paper consolidates recent research to investigate how AI technologies are reshaping global SCM. I then explore the digitalization of the supply chain, the main AI technologies, and the ethical considerations. Building on a foundation established from the Resource-Based View (RBV) and Dynamic Capability Theory (DCT), this paper contextualizes AI's strategic importance. It details AI's potential to increase the accuracy of demand forecasting, reduce operational costs, and improve resilience, but recognizes data quality, enormous upfront implementation costs, and algorithmic transparency as obstacles. This has to be concentrated in the (research and practice) in ethical frameworks, human-AI cooperation, and SME inclusivity as key contributing fields to ensure future digital transformation.
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Copyright (c) 2025 David Hua, Racheal Ankunda, Oghenemarho karieren, Oluwaseni Adeyinka, Mustapha Seidu (Author)
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