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Enhancing Supply Chain Resilience through Digital Procurement: An Information Processing Theory Perspective

Author

Listed:
  • Noah Hakeem Ezren Zeffirelli

    (Faculty of Bsuiness and Management, Universiti Teknologi MARA, Puncak Alam, Selangor)

  • Ariff Azly Muhamed

    (Faculty of Bsuiness and Management, Universiti Teknologi MARA, Puncak Alam, Selangor)

  • Habiel Zakariah

    (Faculty of Bsuiness and Management, Universiti Teknologi MARA, Puncak Alam, Selangor)

  • Mazuin Mat Halif

    (Faculty of Bsuiness and Management, Universiti Teknologi MARA, Puncak Alam, Selangor)

  • Mohd Zamri Abu Bakar

    (Faculty of Bsuiness and Management, Universiti Teknologi MARA, Puncak Alam, Selangor)

  • Nadhratunnaim Nasarudin

    (College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Shah Alam, Selangor)

Abstract

This article explores how digital procurement can significantly enhance supply chain resilience, drawing on the lens of Information Processing Theory (IPT). In an increasingly volatile and complex global environment, supply chains face heightened risks of disruption, requiring firms to improve their ability to acquire, process, and act upon critical information. Digital procurement technologies, including advanced analytics, cloud platforms, and artificial intelligence, expand the information-processing capabilities of organizations by enabling superior data integration, transparency, and collaborative decision-making. Through a theoretical discussion anchored in IPT, this paper elucidates how digital procurement reduces information asymmetry and increases processing speed and accuracy, thereby supporting more agile and robust responses to supply chain disruptions. The article systematically analyzes mechanisms such as real-time data sharing, predictive analytics, and automation of procurement processes, highlighting their roles in enhancing situational awareness and response capabilities. Moreover, it discusses how digital procurement facilitates coordination across diverse supply network actors, strengthening collective resilience. The study contributes to the literature by integrating IPT with digital procurement research, offering a novel conceptual framework to explain the linkages between technology-enabled information processing and supply chain resilience. This perspective underscores the importance of investing in digital procurement not merely as an efficiency driver but as a critical enabler of strategic resilience. Implications for managers and policymakers are also discussed, emphasizing the need to prioritize digital transformation initiatives that enhance information flow and processing throughout the supply chain. Overall, this article offers valuable theoretical and practical insights into leveraging digital procurement to build more resilient and adaptive supply chains.

Suggested Citation

  • Noah Hakeem Ezren Zeffirelli & Ariff Azly Muhamed & Habiel Zakariah & Mazuin Mat Halif & Mohd Zamri Abu Bakar & Nadhratunnaim Nasarudin, 2025. "Enhancing Supply Chain Resilience through Digital Procurement: An Information Processing Theory Perspective," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(7), pages 1962-1967, July.
    • Handle: RePEc:bcp:journl:v:9:y:2025:issue-7:p:1962-1967
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    References listed on IDEAS

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    1. Yuanyuan Yu & Lu Xu & Xuezhou Wen, 2025. "The Impact of Digital Transformation on Supply Chain Resilience in Manufacturing: The Mediating Role of Supply Chain Integration," Sustainability, MDPI, vol. 17(9), pages 1-21, April.
    2. Weili Yin & Wenxue Ran, 2022. "Supply Chain Diversification, Digital Transformation, and Supply Chain Resilience: Configuration Analysis Based on fsQCA," Sustainability, MDPI, vol. 14(13), pages 1-14, June.
    3. Ahmad Ali Atieh Ali & Abdallah A. S. Fayad & Abdulrahman Alomair & Abdulaziz S. Al Naim, 2024. "The Role of Digital Supply Chain on Inventory Management Effectiveness within Engineering Companies in Jordan," Sustainability, MDPI, vol. 16(18), pages 1-25, September.
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