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The interplay between blockchain and big data analytics for enhancing supply chain value creation in micro, small, and medium enterprises

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  • Abdul Jabbar

    (University of Leicester)

  • Pervaiz Akhtar

    (University of Aberdeen
    Imperial College London)

  • Syed Imran Ali

    (Queen Mary University of London)

Abstract

This study explores the interplay between blockchain-based smart contracts and big data analytics for the supply chain value creation of micro, small, and medium enterprises (MSMEs). We implement our Ethereum Virtual Machine (EVM) procedure with the ganache blockchain, and addresses generated by the Metamask wallet. Each supply chain player in the blockchain is assigned a wallet address to observe the hashes created when data is added to the blockchain. Our findings unfold that supply chain value creation emphasises traceability, transparency, security, and profit maximisation interlocked with how effectively companies utilise big data collected through blockchain-based smart contracts. This subsequentially assists managers in using data types and a variety of analytics, spanning from descriptive, diagnostic, predictive, and prescriptive to cognitive analytics. This synergy between the blockchain and the types of analytics provides opportunities to identify new interactions and directions for future research.

Suggested Citation

  • Abdul Jabbar & Pervaiz Akhtar & Syed Imran Ali, 2025. "The interplay between blockchain and big data analytics for enhancing supply chain value creation in micro, small, and medium enterprises," Annals of Operations Research, Springer, vol. 350(2), pages 649-671, July.
    • Handle: RePEc:spr:annopr:v:350:y:2025:i:2:d:10.1007_s10479-024-06415-5
    DOI: 10.1007/s10479-024-06415-5
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