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Using Big Data Analytics in Supply Chain Management: Implications from a Sustainable Perspective

In: Agribusiness Innovation and Contextual Evolution, Volume II

Author

Listed:
  • Suja R. Nair

    (Educe Micro Research)

  • Riad Shams

    (Northumbria University)

Abstract

Since varied information from multiple sources is available in the contemporary world, using of data-driven analytics would help organisations in data integration that facilitate better decision-making and improved operational efficiency. While the COVID-19 posed umpteen challenges in the field of supply-chain-management (SCM), big data analytics (BDA) usage enabled firms like Tesco to optimise supply chain operations and efficiently streamline finished goods such that it reached and provided value to customers. Competitive business environment accentuates the role of firms’ dynamic capabilities (DC) to utilise BDA in SCM from a sustainable perspective. Using review of literature this study proposes a framework which suggests building the link between BDA, DC and stakeholders’ involvement for innovations and sustainability in SCM, and is tested through application in the SCM process of Amul-brand India.

Suggested Citation

  • Suja R. Nair & Riad Shams, 2024. "Using Big Data Analytics in Supply Chain Management: Implications from a Sustainable Perspective," Palgrave Intersections of Business and the Sciences, in association with Gnosis Mediterranean Institute for Management Science, in: Antonino Galati & Demetris Vrontis & Alkis Thrassou & Mariantonietta Fiore (ed.), Agribusiness Innovation and Contextual Evolution, Volume II, chapter 4, pages 79-101, Palgrave Macmillan.
    • Handle: RePEc:pal:pinchp:978-3-031-45742-5_4
    DOI: 10.1007/978-3-031-45742-5_4
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