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Cited by 303

The DOI matches its Crossref record; 124 of the 124 references it cites were found in a registry or an index.

An Integrative approach to supply chain disruption risk and resilience management: a literature review

Shekarian, Mansoor, Mellat Parast, Mahour·2021·International Journal of Logistics Research and Applications

Abstract

A fundamental question in supply chain resilience is identifying its antecedents and investigating the relative importance of each antecedent in improving resilience to supply chain disruptions. In this paper, a comprehensive systematic literature review is conducted to assess the impact of each of the most widely known practices to enhance resilience (flexibility, agility, redundancy, and collaboration) on mitigating each type of supply chain disruption (demand, supply, process, control, and environmental disruptions). The literature review found that collaboration has been identified by the literature as the most important strategy to cope with control disruptions, and flexibility has been identified by the literature as the most important strategy to cope with demand, supply, process, and environmental disruptions. A framework is then developed for identifying the appropriate antecedents in improving resilience to different types of supply chain disruptions.

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Crossref · 10.1080/13675567.2020.1763935

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Metadata

Authors
Shekarian, M., & Mellat Parast, M.
Venue
International Journal of Logistics Research and Applications
Published
2020-05-15
Volume
24
Issue
5
Pages
427-455
ISSN
  • 1367-5567 (ISSN-L)
  • 1469-848X
OpenAlex
W3024769634
Cited by
303
References
124
FWCI
37.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Integrative approach to supply chain disruption risk and resilience management: a literature review. https://app.cochat.ai/papers/10.1080/13675567.2020.1763935
The paper
Shekarian, M., & Mellat Parast, M. (2021). An Integrative approach to supply chain disruption risk and resilience management: a literature review. International Journal of Logistics Research and Applications. https://doi.org/10.1080/13675567.2020.1763935

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.