The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.
Supply chain resilience: a systematic literature review and typological framework
Abstract
Purpose: The study of supply chain resilience (SCRES) continues to gain interest in the academic and practitioner communities. The purpose of this paper is to present a focused review of the SCRES literature by investigating supply chain (SC) capabilities, their relationship to SCRES outcomes and the underpinning theoretical mechanisms of this relationship. Design/methodology/approach: The paper uses the systematic literature review approach to examine 383 articles published between 2000 and 2017, ultimately down selecting to the most relevant 228 peer-reviewed studies. Context-interventions-mechanisms-outcomes (CIMO) logic is applied to organize and synthesize these peer-reviewed studies. A typological framework is developed from the CIMO-based classification of the SCRES literature. Findings: The findings of this study outline the gaps in the SCRES literature and present an agenda for future research. Research limitations/implications: This paper presents an exploratory research; therefore, the typological model presented is just one of the possible perspectives. Practical implications: The typology of SCRES literature can help practitioners to understand SCRES and to measure and assess the resilience of SCs. Originality/value: The paper provides clear definitions of SCRES constructs, develops a typological framework to further understand SCRES and identifies SCRES measures and assessment techniques.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
Firm resources and sustained competitive advantage
Barney, J. B. (2004) · Advances in Strategic Management · doi:10.1016/s0742-3322(00)17018-4 · Cited by 38,152
A resource‐based view of the firm
Wernerfelt, B. (1984) · Strategic Management Journal · doi:10.1002/smj.4250050207 · Cited by 25,635
Tranfield, D., Denyer, D., & Smart, P. (2003) · British Journal of Management · doi:10.1111/1467-8551.00375 · Cited by 15,386
The Relational View: Cooperative Strategy and Sources of Interorganizational Competitive Advantage
Dyer, J. H., & Singh, H. (1998) · Academy of Management Review · doi:10.5465/amr.1998.1255632 · Cited by 9,943
Lawrence, P. R., & Lorsch, J. W. (1967) · Cited by 5,206
Building the Resilient Supply Chain
Christopher, M., & Peck, H. (2004) · The International Journal of Logistics Management · doi:10.1108/09574090410700275 · Cited by 3,664
The impact of supply chain integration on performance: A contingency and configuration approach
Flynn, B. B., Huo, B., & Zhao, X. (2010) · Journal of Operations Management · doi:10.1016/j.jom.2009.06.001 · Cited by 3,310
Perspectives in supply chain risk management
Tang, C. S. (2006) · International Journal of Production Economics · doi:10.1016/j.ijpe.2005.12.006 · Cited by 2,577
Understanding the concept of supply chain resilience
Ponomarov, S. Y., & Holcomb, M. C. (2009) · The International Journal of Logistics Management · doi:10.1108/09574090910954873 · Cited by 2,530
Cited by
Belhadi, A., Mani, V., Kamble, S. S., Khan, S. A. R., & Verma, S. (2024) · Annals of Operations Research · doi:10.1007/s10479-021-03956-x · Cited by 797
Shekarian, M., & Mellat Parast, M. (2021) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2020.1763935 · Cited by 303
Fisher Ke, J.-Y., Otto, J., & Han, C. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.04.066 · Cited by 37
Metadata
- Authors
- Kochan, C. G., & Nowicki, D. R.
- Venue
- International Journal of Physical Distribution & Logistics Management
- Publisher
- Emerald
- Published
- 2018-08-10
- Volume
- 48
- Issue
- 8
- Pages
- 842-865
- ISSN
- 0960-0035 (ISSN-L)
- OpenAlex
- W2886526689
- Cited by
- 319
- References
- 132
- FWCI
- 5.68
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Supply chain resilience: a systematic literature review and typological framework. https://app.cochat.ai/papers/10.1108/ijpdlm-02-2017-0099
- The paper
- Kochan, C. G., & Nowicki, D. R. (2018). Supply chain resilience: a systematic literature review and typological framework. International Journal of Physical Distribution & Logistics Management. https://doi.org/10.1108/ijpdlm-02-2017-0099
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.