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Systematic Literature Review on Resilient Supply Chains in Saudi Arabia: The Impact of Big Data-Driven Decision-Making on Risk Management
Albokhari, Ghala
Albokhari, Ghala
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Abstract
This research examines how Big Data-Driven Decision-Making can strengthen supply chain
resilience in Saudi Arabia. In recent years, global events such as the COVID-19 pandemic, economic
instability, and regional uncertainties have exposed significant weaknesses in supply chains. These
challenges have increased the demand for more effective, data-based strategies to identify and
manage risks.
The study uses a Systematic Literature Review (SLR) approach to analyze 13 academic articles
published between 2015 and 2023. These articles focus on how Big Data Analytics (BDA) is being
used in key Saudi sectors—such as manufacturing, logistics, retail, and oil and gas—to support risk
identification, improve decision-making, and build more flexible supply chains.
The review highlights both the advantages and the limitations of using BDA in practice. It also
emphasizes the importance of integrating digital tools into national and corporate strategies to
improve supply chain performance. Finally, the research supports Saudi Arabia’s Vision 2030 by
showing how BDA can contribute to economic growth, innovation, and improved infrastructure