The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic
Open accessAbstract
Viability is the ability of a supply chain (SC) to maintain itself and survive in a changing environment through a redesign of structures and replanning of performance with long-term impacts. In this paper, we theorize a new notion—the viable supply chain (VSC). In our approach, viability is considered as an underlying SC property spanning three perspectives, i.e., agility, resilience, and sustainability. The principal ideas of the VSC model are adaptable structural SC designs for supply–demand allocations and, most importantly, establishment and control of adaptive mechanisms for transitions between the structural designs. Further, we demonstrate how the VSC components can be categorized across organizational, informational, process-functional, technological, and financial structures. Moreover, our study offers a VSC framework within an SC ecosystem. We discuss the relations between resilience and viability. Through the lens and guidance of dynamic systems theory, we illustrate the VSC model at the technical level. The VSC model can be of value for decision-makers to design SCs that can react adaptively to both positive changes (i.e., the agility angle) and be able to absorb negative disturbances, recover and survive during short-term disruptions and long-term, global shocks with societal and economical transformations (i.e., the resilience and sustainability angles). The VSC model can help firms in guiding their decisions on recovery and re-building of their SCs after global, long-term crises such as the COVID-19 pandemic. We emphasize that resilience is the central perspective in the VSC guaranteeing viability of the SCs of the future. Emerging directions in VSC research are discussed.
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Citations
Cites
An introduction to cybernetics
Ashby, W. R. (1956) · doi:10.5962/bhl.title.5851 · Cited by 7,578
Ivanov, D. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.101922 · Cited by 2,280
Self-citationIvanov, D., Dolgui, A., & Sokolov, B. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1488086 · Cited by 2,055
Self-citationHow ‘big data’ can make big impact: findings from a systematic review and a longitudinal case study
Fosso Wamba, S., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2014.12.031 · Cited by 1,905
A review of definitions and measures of system resilience
Hosseini, S., Barker, K., & Ramirez-Marquez, J. E. (2016) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2015.08.006 · Cited by 1,892
Big Data Analytics in Operations Management
Choi, T., Wallace, S. W., & Wang, Y. (2018) · Production and Operations Management · doi:10.1111/poms.12838 · Cited by 1,027
Dubey, 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 · cited 6×
“Altay et al. (2018); Dubey et al. (2019b), and Ivanov et al. (2018a) organized a debate around the intersections of flexibility, agility and uncertainty and developed the discussion towards the roles of agility and flexibility in achieving SC resilience.”
BackgroundMethodInfluentialDesigning Resilient, Sustainable Systems
Fiksel, J. (2003) · Environmental Science & Technology · doi:10.1021/es0344819 · Cited by 831
Chesbrough, H. (2020) · Industrial Marketing Management · doi:10.1016/j.indmarman.2020.04.010 · Cited by 664
Cited by
COVID-19 pandemic related supply chain studies: A systematic review
Chowdhury, P., Paul, S. K., Kaisar, S., & Moktadir, M. A. (2021) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2021.102271 · Cited by 992
Impact of COVID-19 on logistics systems and disruptions in food supply chain
Singh, S., Kumar, R., Panchal, R., & Tiwari, M. K. (2021) · International Journal of Production Research · doi:10.1080/00207543.2020.1792000 · Cited by 904
Ivanov, D. (2021) · International Journal of Production Research · doi:10.1080/00207543.2021.1890852 · Cited by 561
Self-citationReconfigurable supply chain: the X-network
Dolgui, A., Ivanov, D., & Sokolov, B. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1774679 · Cited by 501
Self-citationIvanov, D., Tang, C. S., Dolgui, A., Battini, D., & Das, A. (2021) · International Journal of Production Research · doi:10.1080/00207543.2020.1798035 · Cited by 452
Self-citation
Metadata
- Authors
- Ivanov, D.
- Venue
- Annals of Operations Research
- Published
- 2020-05-22
- Volume
- 319
- Issue
- 1
- Pages
- 1411-1431
- ISSN
- 0254-5330 (ISSN-L)
- 1572-9338
- OpenAlex
- W3026347338
- Cited by
- 1,343
- References
- 9
- FWCI
- 192.51
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Ivanov, D. (2022). Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic. Annals of Operations Research. https://doi.org/10.1007/s10479-020-03640-6
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