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Investigating the role of knowledge-based supply chains for supply chain resilience by graph theory matrix approach

Author

Listed:
  • Muruvvet Deniz Sezer

    (Yasar University)

  • Melisa Ozbiltekin-Pala

    (Yasar University)

  • Yigit Kazancoglu

    (Yasar University)

  • Jose Arturo Garza-Reyes

    (University of Derby)

  • Anil Kumar

    (London Metropolitan University)

  • Vikas Kumar

    (Birmingham City University)

Abstract

Nowadays, providing information flow at every phase of a knowledge-based supply chain with technologies has become a vital issue due to rapid population growth, globalisation, and increases in demand in the supply chain. Knowledge-based supply chains have a critical role in increasing resilience in supply chain processes with emerging technologies. Thus, it is necessary to determine the critical factors that increase SC resilience. Therefore, this study aims to determine SC resilience improvement factors in knowledge-based supply chains and investigate the importance level of determining factors using the Graph Theory Matrix Approach. The results suggest that the most important supply chain resilience improvement factor is Adaptive Capacity (F3), followed by Product Prioritization (F9) and Flexibility (F1), respectively. This study is expected to benefit managers and policymakers as it provides a better understanding of critical SC resilience improvement factors that play a role in knowledge-based supply chains. In order to increase resilience in the supply chain, system thinking and solutions should be encouraged by businesses to increase collaboration with stakeholders. Businesses and governments should provide collaborative long-term solutions for the uncertain environment to ensure a sustainable and resilient environment.

Suggested Citation

  • Muruvvet Deniz Sezer & Melisa Ozbiltekin-Pala & Yigit Kazancoglu & Jose Arturo Garza-Reyes & Anil Kumar & Vikas Kumar, 2023. "Investigating the role of knowledge-based supply chains for supply chain resilience by graph theory matrix approach," Operations Management Research, Springer, vol. 16(3), pages 1220-1230, September.
    • Handle: RePEc:spr:opmare:v:16:y:2023:i:3:d:10.1007_s12063-023-00391-y
    DOI: 10.1007/s12063-023-00391-y
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    References listed on IDEAS

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    Cited by:

    1. Bo Li, 2024. "A dynamic model of the supply chain resilience cycle: concept mapping using the Cynefin framework," Operations Management Research, Springer, vol. 17(4), pages 1553-1562, December.
    2. Guilherme F. Frederico & Danny Samson, 2023. "Knowledge-based supply chains and economies: the relation with the emergent technologies and other current issues," Operations Management Research, Springer, vol. 16(3), pages 1057-1058, September.
    3. Qiansong Zhang & Yingying Zhang & Taiwen Feng, 2024. "Impacts of paradox cognition and organizational unlearning on supply chain resilience: a perspective of paradox theory," Operations Management Research, Springer, vol. 17(3), pages 1022-1038, September.
    4. Duong An & Duy Tran Le Anh & Huong Le Thi Cam & Rajkishore Nayak & Majo George & Loan Bui Thi Cam & Nhu-Y Ngoc Hoang & Duy Tan Nguyen & Huy Truong Quang, 2024. "Navigating global supply networks: a strategic framework for resilience in the apparel industry," Operations Management Research, Springer, vol. 17(2), pages 523-543, June.

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