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Supply chain risk mitigation competency: an individual-level knowledge-based perspective

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  • Saurabh Ambulkar
  • Jennifer V. Blackhurst
  • David E. Cantor

Abstract

Supply chain managers are responsible for making decisions regarding supply chain risk in order to mitigate the impact of supply chain disruptions. This study develops and tests a theoretical model that leverages the individual-level knowledge-based view perspective to understand the process through which risk mitigation orientation of the supply chain manager contributes to his/her absorptive capacity. A supply chain manager’s absorptive capacity, in turn, enhances his/her ability to effectively mitigate supply chain risk. Study findings demonstrate that supply chain managers with high-risk mitigation orientation have greater level of absorptive capacity which enhances their risk mitigation competency. This study represents the first development and testing of a model that examines individual-level knowledge management factors that affect supply chain risk mitigation competency. This research emphasises the importance of the individual supply chain manager in managing risk and illustrates how theoretical perspectives from the knowledge management, supply chain risk and organisational behaviour literature can be fruitfully adopted to explain behaviour in the field of supply chain risk management.

Suggested Citation

  • Saurabh Ambulkar & Jennifer V. Blackhurst & David E. Cantor, 2016. "Supply chain risk mitigation competency: an individual-level knowledge-based perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 54(5), pages 1398-1411, March.
  • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:5:p:1398-1411
    DOI: 10.1080/00207543.2015.1070972
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    Cited by:

    1. Ivana Dvorski Lackovic & Marijana Bubanic & Vladimir Kovsca, 2018. "A Literature Survey On Risk Management In Supply Chains," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 18, pages 551-564.
    2. Papanagnou, Christos & Seiler, Andreas & Spanaki, Konstantina & Papadopoulos, Thanos & Bourlakis, Michael, 2022. "Data-driven digital transformation for emergency situations: The case of the UK retail sector," International Journal of Production Economics, Elsevier, vol. 250(C).
    3. Gligor, David & Russo, Ivan & Maloni, Michael J., 2022. "Understanding gender differences in logistics innovation: A complexity theory perspective," International Journal of Production Economics, Elsevier, vol. 246(C).
    4. Scott DuHadway & Steven Carnovale & Vijay R. Kannan, 2018. "Organizational Communication and Individual Behavior: Implications for Supply Chain Risk Management," Journal of Supply Chain Management, Institute for Supply Management, vol. 54(4), pages 3-19, October.
    5. Nay Chi Khin Khin Oo & Sirisuhk Rakthin, 2022. "Integrative Review of Absorptive Capacity’s Role in Fostering Organizational Resilience and Research Agenda," Sustainability, MDPI, vol. 14(19), pages 1-27, October.
    6. Sunday Bolade & Stavros Sindakis, 2020. "Micro-Foundation of Knowledge Creation Theory: Development of a Conceptual Framework Theory," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(4), pages 1556-1572, December.
    7. Singh, Nitya P. & Hong, Paul C., 2020. "Impact of strategic and operational risk management practices on firm performance: An empirical investigation," European Management Journal, Elsevier, vol. 38(5), pages 723-735.
    8. Cantor, David E. & Corsi, Thomas M. & Grimm, Curtis M., 2017. "The impact of new entrants and the new entrant program on motor carrier safety performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 217-227.
    9. Nikookar, Ethan & Gligor, David & Russo, Ivan, 2024. "Supply chain resilience: When the recipe is more important than the ingredients for managing supply chain disruptions," International Journal of Production Economics, Elsevier, vol. 272(C).

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