SYSTEMATIC REVIEW OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THEIR IMPACT ON SUPPLY CHAIN DECISION-MAKING AND OPERATIONAL AGILITY
Keywords:
AI, Decision-Making, Digital Transformation, Operational Agility, Supply ChainAbstract
Modern global supply chains face a state of endemic volatility, characterized by geopolitical conflicts, sudden disasters, and systemic disruptions that create significant demand-supply imbalances. This systematic literature review analyzes and synthesizes the academic literature from 2020 to 2024 to understand how Artificial Intelligence (AI) applications are being leveraged to transform supply chain decision-making and enhance operational agility. Following a rigorous SLR methodology, 41 peer-reviewed articles were selected from the Scopus and Web of Science databases. The synthesis reveals that AI is not a singular technology but a convergent ecosystem, primarily involving machine learning for predictive analytics, intelligent automation, and enabling technologies like the Internet of Things (IoT). The findings indicate that AI's primary impact is the facilitation of a paradigm shift in decision-making, moving from a reactive and historical-based model to a proactive, anticipatory, and data-driven one. This transformation is the central mechanism enabling a new level of operational agility, allowing firms to develop not only defensive resilience to mitigate disruptions but also offensive agility to improve innovation performance and competitive advantage. The review concludes that the realization of AI's full potential is significantly moderated by socio-technical challenges, including data quality, integration complexity, and the critical need for an organizational culture that fosters digital skills and human-AI trust.
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