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Exploring the impact of lean, agile, resilient, and green supply chain practices on organisational performance through mediating role of big data analytics

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  • Nourhan Ahmed Saad
  • Mahmoud Ramadan Barakat

Abstract

This research uses resource-based view and dynamic capabilities view to investigate the impact of lean, agile, resilient, and green supply chain (LARG-SC) practices on organisational performance through big data analytics. An online-based, self-administrative questionnaire was conducted from different companies in Egypt. Quantitative analysis was assessed through covariance based structural equation modelling for 622 responses using AMOS. The findings revealed that big data analytics could significantly mediate the relationship between LARG-SC practices and organisational performance. The findings provide an in-depth empirical illustration on understanding big data analytics and how it addresses the challenges of LARG-SC practices of companies in developing countries. This will help in extending both theoretical lenses resource-based view and dynamic capabilities view, especially that further studies are needed in emerging economies. In addition, the findings of this research will fall in line with Egyptian the strategic objective 2030 to be fully digitalised.

Suggested Citation

  • Nourhan Ahmed Saad & Mahmoud Ramadan Barakat, 2025. "Exploring the impact of lean, agile, resilient, and green supply chain practices on organisational performance through mediating role of big data analytics," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 22(1), pages 81-103.
    • Handle: RePEc:ids:ijpman:v:22:y:2025:i:1:p:81-103
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