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Cited by 245

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Network characteristics and supply chain resilience under conditions of risk propagation

Li, Yuhong, Zobel, Christopher W., Seref, Onur, Chatfield, Dean·2020·International Journal of Production Economics

Abstract

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.

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Metadata

Authors
Li, Y., Zobel, C. W., Seref, O., & Chatfield, D.
Venue
International Journal of Production Economics
Publisher
Elsevier BV
Published
2020-05
Volume
223
Pages
107529
ISSN
0925-5273 (ISSN-L)
OpenAlex
W2981562194
Cited by
245
References
5
FWCI
32.07
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Network characteristics and supply chain resilience under conditions of risk propagation. https://app.cochat.ai/papers/10.1016/j.ijpe.2019.107529
The paper
Li, Y., Zobel, C. W., Seref, O., & Chatfield, D. (2020). Network characteristics and supply chain resilience under conditions of risk propagation. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2019.107529

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.