Abstract
This paper conducts a systematic literature review of the transformative impact of big data analytics on supply chain orientation. Following a structured methodology based on the PRISMA framework, 60 articles were analysed to identify themes and synthesis results. The review shows that data analytics enables organisations to achieve more data-driven and more strategically aligned supply chain orientation through improved decision-making, supply chain orientation visibility, risk management and efficiency. However, challenges such as data heterogeneity, technological infrastructure, governance and human resources need to be addressed to fully exploit big data in supply chain orientation. This analysis reveals how practitioners can work with big data analytics to enhance their supply chain activities and gain a competitive edge in a dynamic environment today.
Recommended Citation
Sunmola, Hakeem Omolade; Esfahbodi, Ali; and Zhang, Yufeng Dr., "Data-Driven Supply Chain Orientation: The Role of Big Data Analytics, Challenges and Opportunities" (2025). UK Academy for Information Systems Conference Proceedings 2025. 33.
https://aisel.aisnet.org/ukais2025/33