The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
An Empirically Derived Framework of Global Supply Resiliency
Abstract
In today’s global business environment, supply chains have increased in both length and complexity. This increase in length and complexity coupled with a focus on improving efficiency, such as lean manufacturing practices, may lead to higher levels of supply chain risk where the likelihood of a disruption severely impacting supply chain performance increases. Resilient supply chains have been touted as a means to reduce the likelihood and severity of supply chain disruptions. However, there is little empirical evidence relative to the factors that contribute to or detract from supply resiliency. Using systems theory and the resource-based view of the firm as the theoretical underpinnings, this study provides an in-depth systematic investigation of supply resiliency. Adopting a theory-building approach based on a multi-industry empirical investigation, this study derives empirical generalizations linking 19 supply chain characteristics to supply resiliency. The study culminates in a framework that could be used to assess the level of resiliency in a supply base. Building on this framework, the study also provides a supply resiliency matrix that can be utilized to classify supply chains, or supply chains segments according to the level of resiliency realized. This article concludes by proposing several future research directions and issues that may be investigated in more detail.
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Citations
Cites
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Cited by
Ivanov, D., Dolgui, A., & Sokolov, B. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1488086 · Cited by 2,055
Firm's resilience to supply chain disruptions: Scale development and empirical examination
Ambulkar, S., Blackhurst, J., & Grawe, S. (2015) · Journal of Operations Management · doi:10.1016/j.jom.2014.11.002 · Cited by 1,400
Self-citationDubey, R., Gunasekaran, A., Childe, S. J., Fosso Wamba, S., Roubaud, D., & Foropon, C. (2021) · International Journal of Production Research · doi:10.1080/00207543.2019.1582820 · Cited by 958
Ripple effect in the supply chain: an analysis and recent literature
Dolgui, A., Ivanov, D., & Sokolov, B. (2018) · International Journal of Production Research · doi:10.1080/00207543.2017.1387680 · Cited by 895
Hazen, B. T., Boone, C. A., Ezell, J. D., & Jones-Farmer, L. A. (2014) · International Journal of Production Economics · doi:10.1016/j.ijpe.2014.04.018 · Cited by 863
Metadata
- Authors
- Blackhurst, J., Dunn, K. S., & Craighead, C. W.
- Venue
- Journal of Business Logistics
- Publisher
- Wiley
- Published
- 2011-12
- Volume
- 32
- Issue
- 4
- Pages
- 374-391
- ISSN
- 0735-3766 (ISSN-L)
- OpenAlex
- W1532579437
- Cited by
- 758
- References
- 5
- FWCI
- 43.48
- Type
- journal article
- Language
- en
- Open access
- closed
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- Blackhurst, J., Dunn, K. S., & Craighead, C. W. (2011). An Empirically Derived Framework of Global Supply Resiliency. Journal of Business Logistics. https://doi.org/10.1111/j.0000-0000.2011.01032.x
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