Blockchain and Big Data Integration for Transparent and Traceable Supply Chains

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Authors: Munyaradzi Chibaro, James Kanyepe, Wilbert Manyanga, Josephine Moeti Lysson, Tinashe Musasa
Cited by: 2
References: 55

Abstract

This chapter explores the integration of blockchain and big data technologies to enhance transparency and traceability in modern supply chains. Drawing on sociotechnical systems theory, this chapter examines how decentralised ledgers and real-time analytics can collaboratively address challenges such as fraud, inefficiency, and lack of visibility across supply chain networks. Using the PRISMA methodology, a systematic review of peer-reviewed literature from 2015 to 2025 was conducted to identify trends, gaps, and empirical evidence supporting the integration of these technologies. Key findings reveal that blockchain ensures data immutability and provenance, whereas big data enables predictive analytics and operational optimisation. The synergy between the two technologies fosters trust among stakeholders and supports regulatory compliance. The chapter concludes with recommendations for policymakers, technologists, and supply chain managers, emphasising the need for interoperable platforms, data governance frameworks, and capacity-building initiatives.

Fields of Study & Subjects

Big Data and Business Intelligence Blockchain Technology Applications and Security Supply Chain Resilience and Risk Management

Publication details

Journal / source
Enhancing Sustainability in Global Supply Chains With Big Data Analytics
Publisher
IGI Global Scientific Publishing
Pages
147–174
Publication date
5 March 2026
Language
NG
Document type
Book chapter