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Dominant Risks and Risk Management Practices in Supply Chains

In: Supply Chain Risk

Author

Listed:
  • Stephan M. Wagner

    (Swiss Federal Institute of Technology Zurich)

  • Christoph Bode

Abstract

Supply chains are inherently susceptible to risky events. Earlier articles in supply chain management by Kraljic (1983) and Treleven, and Schweickhart (1988) stressed the importance to consider the risks arising from interconnected flows of material, information and funds in inter-organizational networks. However, during the last several years, the interest in this topic has significantly gained momentum. A large body of recent literature reports on events that disrupted supply chains and on their negative impact on businesses. These reports are paralleled by numerous articles from researchers and practitioners proposing best practices, guidelines, and concepts for risk management strategies that aim to ultimately create resilient supply chains. But what actually fuelled this recent attention to supply chain risks and their management? There are arguably at least two significant factors.

Suggested Citation

  • Stephan M. Wagner & Christoph Bode, 2009. "Dominant Risks and Risk Management Practices in Supply Chains," International Series in Operations Research & Management Science, in: George A. Zsidisin & Bob Ritchie (ed.), Supply Chain Risk, chapter 17, pages 271-290, Springer.
    • Handle: RePEc:spr:isochp:978-0-387-79934-6_17
    DOI: 10.1007/978-0-387-79934-6_17
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    Citations

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    Cited by:

    1. Pythagoras N. Petratos & Alessio Faccia, 2023. "Fake news, misinformation, disinformation and supply chain risks and disruptions: risk management and resilience using blockchain," Annals of Operations Research, Springer, vol. 327(2), pages 735-762, August.
    2. Wagner, Stephan M. & Neshat, Nikrouz, 2010. "Assessing the vulnerability of supply chains using graph theory," International Journal of Production Economics, Elsevier, vol. 126(1), pages 121-129, July.
    3. Wallace, Stein W. & Choi, Tsan-Ming, 2011. "Flexibility, information structure, options, and market power in robust supply chains," International Journal of Production Economics, Elsevier, vol. 134(2), pages 284-288, December.
    4. Yu-Kai Huang, 2017. "Vulnerability of Multinational Retailing Delivery Service: A Case Study of TAOBAO," International Journal of Business and Administrative Studies, Professor Dr. Bahaudin G. Mujtaba, vol. 3(2), pages 72-78.
    5. Venkatesh, V.G. & Rathi, Snehal & Patwa, Sriyans, 2015. "Analysis on supply chain risks in Indian apparel retail chains and proposal of risk prioritization model using Interpretive structural modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 153-167.
    6. Setene, Letlama & Jordaan, Daniel du P.S., 2021. "The trade-off between chain performance and fragility considering coordination strategies of agri-food chains: a South African egg chain's case study," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(3), March.
    7. Fahim ul Amin & Qingkai Ji & María del Carmen Valls Martínez & Qian-Li Dong & Shamsa Kanwal & Iram Zulfiqar, 2023. "The Moderating Effect of Customer Relationship on Supply Chain Risk Management and Organization Performance in Logistics Sector of Pakistan," SAGE Open, , vol. 13(1), pages 21582440231, March.
    8. Wagner, Stephan M. & Mizgier, Kamil J. & Papageorgiou, Stylianos, 2017. "Operational disruptions and business cycles," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 66-78.
    9. Heckmann, Iris & Comes, Tina & Nickel, Stefan, 2015. "A critical review on supply chain risk – Definition, measure and modeling," Omega, Elsevier, vol. 52(C), pages 119-132.
    10. Huimin Liu & Yupeng Shi & Xuze Yang & Wentao Zhang, 2023. "The Role of Business Environment and Digital Government in Mitigating Supply Chain Vulnerability—Evidence from the COVID-19 Shock," Sustainability, MDPI, vol. 15(3), pages 1-15, January.
    11. Behzadi, Golnar & O’Sullivan, Michael Justin & Olsen, Tava Lennon & Zhang, Abraham, 2018. "Agribusiness supply chain risk management: A review of quantitative decision models," Omega, Elsevier, vol. 79(C), pages 21-42.
    12. Yang, Yao & Karali, Berna, 2022. "How far is too far for volatility transmission?," Journal of Commodity Markets, Elsevier, vol. 26(C).
    13. Setene, Letlama, 2020. "Coordination strategies in the South African egg value chain: A review of chain performance and fragility," Research Theses 334761, Collaborative Masters Program in Agricultural and Applied Economics.
    14. Guy Burstein & Inon Zuckerman, 2023. "Deconstructing Risk Factors for Predicting Risk Assessment in Supply Chains Using Machine Learning," JRFM, MDPI, vol. 16(2), pages 1-16, February.
    15. Muhammad Umar & Mark Wilson, 2021. "Supply Chain Resilience: Unleashing the Power of Collaboration in Disaster Management," Sustainability, MDPI, vol. 13(19), pages 1-20, September.
    16. Muhammad Umar & Mark Wilson & Jeff Heyl, 2017. "Food Network Resilience Against Natural Disasters: A Conceptual Framework," SAGE Open, , vol. 7(3), pages 21582440177, July.
    17. Soumyatanu Mukherjee & Sidhartha S. Padhi, 2022. "Sourcing decision under interconnected risks: an application of mean–variance preferences approach," Annals of Operations Research, Springer, vol. 313(2), pages 1243-1268, June.
    18. Bayer, Frank & Bioly, Sascha, 2014. "Supply Chain Risk Management in der Industrie - am Beispiel der Metall- und Elektroindustrie," ild Schriftenreihe 41, FOM Hochschule für Oekonomie & Management, Institut für Logistik- & Dienstleistungsmanagement (ild).
    19. Balster, Andreas & Friedrich, Hanno, 2019. "Dynamic freight flow modelling for risk evaluation in food supply," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 4-22.
    20. Ahmad Jafarnejad & Mehran Ebrahimi & Mohammad Ali Abbaszadeh & Seyed Mehdi Abtahi, 2014. "Risk Management in Supply Chain using Consistent Fuzzy Preference Relations," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(1), pages 77-89, January.

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