The DOI matches its Crossref record.
Learning from Disasters: A Management Approach
Abstract
This compelling book offers an important insight into the way organizations implement policies and procedures to prevent future disasters occurring. The third edition includes an introductory chapter
Overview
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Integrity signals
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Statistics
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Claims the paper makes
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Self-check
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Citations
Cited by
Organizational resilience: a capability-based conceptualization
Duchek, S. (2020) · Business Research · doi:10.1007/s40685-019-0085-7 · Cited by 2,027
Safety culture: Key theoretical issues
Pidgeon, N. (1998) · Work & Stress · doi:10.1080/02678379808256862 · Cited by 309
Metadata
- Authors
- Toft, B., & Reynolds, S.
- Publisher
- Macmillan Education UK
- Published
- 2005
- OpenAlex
- W371631977
- Cited by
- 160
- References
- 0
- FWCI
- 9.84
- Type
- book
- 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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Learning from Disasters: A Management Approach. https://app.cochat.ai/papers/10.1007/978-1-349-27902-9
- The paper
- Toft, B., & Reynolds, S. (2005). Learning from Disasters: A Management Approach. https://doi.org/10.1007/978-1-349-27902-9
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.
