The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
An empirically derived agenda of critical research issues for managing supply-chain disruptions
Abstract
While the literature related to supply-chain disruptions is informative, it has primarily focused on supply-chain disruptions from a general or high-level view of the phenomenon (e.g. supply-chain uncertainty, risk perceptions). Additionally, although most would agree that disruptions are present in all supply chains, there is a limited amount of information on how to deal with them from a practical perspective in both the short term and long term. Because of the importance of and research needs within this area, we launched a major multi-industry, multi-methodology empirical study on supply-chain disruptions. The study is multi-faceted in that it seeks insights into many issues within the broad area of global sourcing and supply-chain disruptions. Throughout our various interactions with industry, we found that several common themes and issues surfaced as being critical to successful disruption analysis and mitigation as well as resilient supply-chain design. Within this paper, we report on these key issues and discuss the needs within the supply-chain research to contribute to them.
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
Building Theories from Case Study Research
Eisenhardt, K. M. (1989) · The Academy of Management Review · doi:10.2307/258557 · Cited by 17,455
The critical incident technique.
Flanagan, J. C. (1954) · Psychological Bulletin · doi:10.1037/h0061470 · Cited by 8,191
Cited by
Ivanov, D., Dolgui, A., & Sokolov, B. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1488086 · Cited by 2,055
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
Supply chain risk management: a new methodology for a systematic literature review
Colicchia, C., & Strozzi, F. (2012) · Supply Chain Management: An International Journal · doi:10.1108/13598541211246558 · Cited by 750
Reconfigurable 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
Achieving supply chain resilience: The role of procurement
Roberta Pereira, C., Christopher, M., & Lago Da Silva, A. (2014) · Supply Chain Management: An International Journal · doi:10.1108/scm-09-2013-0346 · Cited by 396
Metadata
- Authors
- Blackhurst *, J., Craighead, C. W., Elkins, D., & Handfield, R. B.
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2005-10
- Volume
- 43
- Issue
- 19
- Pages
- 4067-4081
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W1988000931
- Cited by
- 651
- References
- 2
- FWCI
- 19.54
- 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: An empirically derived agenda of critical research issues for managing supply-chain disruptions. https://app.cochat.ai/papers/10.1080/00207540500151549
- The paper
- Blackhurst *, J., Craighead, C. W., Elkins, D., & Handfield, R. B. (2005). An empirically derived agenda of critical research issues for managing supply-chain disruptions. International Journal of Production Research. https://doi.org/10.1080/00207540500151549
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.
