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Network characteristics and supply chain resilience under conditions of risk propagation

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  • Li, Yuhong
  • Zobel, Christopher W.
  • Seref, Onur
  • Chatfield, Dean

Abstract

Inspired by the fact that a combination of network characteristics can describe a network more fully than the network type is able to, especially since some networks do not belong to any one specific type, this research effort investigates the relationship between network characteristics and supply chain resilience. We begin by demonstrating that the investigation of network characteristics can lead to a better understanding of supply chain resilience. We then identify the key network characteristics that best represent network structure in determining resilience. We show that utilizing a reduced list of characteristics yields performance equal to that when using a complete set of characteristics. Based on the results, we summarize key points that can support interpretation of the impact of network characteristics on resilience. We also conduct a case study to illustrate how our approach can be employed to understand resilience.

Suggested Citation

  • Li, Yuhong & Zobel, Christopher W. & Seref, Onur & Chatfield, Dean, 2020. "Network characteristics and supply chain resilience under conditions of risk propagation," International Journal of Production Economics, Elsevier, vol. 223(C).
    • Handle: RePEc:eee:proeco:v:223:y:2020:i:c:s0925527319303561
    DOI: 10.1016/j.ijpe.2019.107529
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    Cited by:

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    10. Zarghami, Seyed Ashkan & Dumrak, Jantanee, 2021. "Unearthing vulnerability of supply provision in logistics networks to the black swan events: Applications of entropy theory and network analysis," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    11. Yue, Xiongping & Mu, Dong & Wang, Chao & Ren, Huanyu & Peng, Rui & Du, Jianbang, 2024. "Critical risks in global supply networks: A static structure and dynamic propagation perspective," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    12. Shoufeng Ji & Pengyun Zhao & Tingting Ji, 2023. "A Hybrid Optimization Method for Sustainable and Flexible Design of Supply–Production–Distribution Network in the Physical Internet," Sustainability, MDPI, vol. 15(7), pages 1-34, April.
    13. Kayvan Miri Lavassani & Bahar Movahedi, 2021. "Firm-Level Analysis of Global Supply Chain Network: Role of Centrality on Firm’s Performance," International Journal of Global Business and Competitiveness, Springer, vol. 16(2), pages 86-103, December.
    14. Manupati, V.K. & Schoenherr, Tobias & Ramkumar, M. & Panigrahi, Suraj & Sharma, Yash & Mishra, Prakriti, 2022. "Recovery strategies for a disrupted supply chain network: Leveraging blockchain technology in pre- and post-disruption scenarios," International Journal of Production Economics, Elsevier, vol. 245(C).
    15. Baghersad, Milad & Zobel, Christopher W., 2021. "Assessing the extended impacts of supply chain disruptions on firms: An empirical study," International Journal of Production Economics, Elsevier, vol. 231(C).
    16. Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand, 2022. "Adapting supply chain operations in anticipation of and during the COVID-19 pandemic," Omega, Elsevier, vol. 110(C).
    17. Giovanna Culot & Matteo Podrecca & Guido Nassimbeni & Guido Orzes & Marco Sartor, 2023. "Using supply chain databases in academic research: A methodological critique," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(1), pages 3-25, January.
    18. Tuhin Sengupta & Gopalakrishnan Narayanamurthy & Roger Moser & Vijay Pereira & Devleena Bhattacharjee, 2022. "Disruptive Technologies for Achieving Supply Chain Resilience in COVID-19 Era: An Implementation Case Study of Satellite Imagery and Blockchain Technologies in Fish Supply Chain," Information Systems Frontiers, Springer, vol. 24(4), pages 1107-1123, August.
    19. Alikhani, Reza & Torabi, S.Ali & Altay, Nezih, 2021. "Retail supply chain network design with concurrent resilience capabilities," International Journal of Production Economics, Elsevier, vol. 234(C).
    20. Li Zhou & Jingjing Wang & Feng Li & Yan Xu & Jie Zhao & Jiafu Su, 2022. "Risk Aversion of B2C Cross-Border e-Commerce Supply Chain," Sustainability, MDPI, vol. 14(13), pages 1-22, July.
    21. Vimal K.E.K & Simon Peter Nadeem & Mahadharsan Ravichandran & Manavalan Ethirajan & Jayakrishna Kandasamy, 2022. "Resilience strategies to recover from the cascading ripple effect in a copper supply chain through project management," Operations Management Research, Springer, vol. 15(1), pages 440-460, June.
    22. Luong, Tuan, 2023. "Network resilience and risk attitudes: Evidence from Vietnamese Vegetable Farming," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334556, Agricultural Economics Society - AES.
    23. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry & Zennaro, Ilenia, 2021. "Costs of resilience and disruptions in supply chain network design models: A review and future research directions," International Journal of Production Economics, Elsevier, vol. 235(C).
    24. Ghanei, Shima & Contreras, Ivan & Cordeau, Jean-François, 2023. "A two-stage stochastic collaborative intertwined supply network design problem under multiple disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).

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