Building on a transdisciplinary and multi-disciplinary approach to supply chain management, this edited book critically examines strategic supply chain analytics trends, developments, and critical success factors in the contemporary digital business world. In the context of Environmental, Social, and Governance (ESG) issues related to supply chain analytics, it explores how organizations operating in African economies can deploy supply chain analytics technologies to gain real-time insights into green procurement, risk modelling, and environmental compliance.

Recent developments in supply chain management heighten the need for the acquisition of new digital skills by strategic leaders when it comes to the infusion of supply chain analytics into evidence-driven decision-making. This edited book critically interrogates the relevance and effectiveness of strategic supply chain analytics in the digital world. It encompasses the strategic issues surrounding robotics, diagnostic analysis, machine learning, prescriptive analysis, predictive analysis, descriptive analytics, smart warehousing, and blockchain technology, within the context of supply chain management. It also identifies the transformation imperatives and policy directions for crafting robust supply chain analytics strategies.

This unique collection will be a valuable resource for researchers, scholars, policymakers, and students of supply chain management, logistics, technology management and innovation.