The DOI matches its Crossref record.
Managing the Unexpected
Abstract
Preface vii Acknowledgments xi Chapter 1 Mismanaging the Unexpected 1 Chapter 2 The Infrastructure of Mindful Organizing 21 Chapter 3 Principle 1: Preoccupation with Failure 45 Chapter 4 Principle 2: Reluctance to Simplify 62 Chapter 5 Principle 3: Sensitivity to Operations 77 Chapter 6 Principle 4: Commitment to Resilience 94 Chapter 7 Principle 5: Deference to Expertise 112 Chapter 8 Organizational Culture and Reliability 129 Chapter 9 Sustaining Sustained Performance 148 Notes 163 About the Authors 195 Index 197
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“A robust system of identification, classification, management, analysis, and correction of quality issues within an organization is key to organizational success, as demonstrated in examples from other high‐reliability fields where a culture of low tolerance for error and a reluctance to simplify cause analysis is essential to mitigating risks associated with increasing system complexity [10, 11].”
From Quality issue management and disclosure in forensic science: A survey of practice and perceptions (2025) · cites this paper as [10]
In the citing paper
“Trend analysis of quality issues is a critical tool in both the management of corrective actions and in the management review process, and effective trend analysis of issues detected and root causes is a prominent feature of high‐reliability fields such as aviation and medicine [10].”
From Quality issue management and disclosure in forensic science: A survey of practice and perceptions (2025) · cites this paper as [10]
Citations
Cited by
Organizational Response to Adversity: Fusing Crisis Management and Resilience Research Streams
Williams, T. A., Gruber, D. A., Sutcliffe, K. M., Shepherd, D. A., & Zhao, E. Y. (2017) · Academy of Management Annals · doi:10.5465/annals.2015.0134 · Cited by 1,945
Self-citationSocio-Technical Perspectives on Smart Working: Creating Meaningful and Sustainable Systems
Bednar, P. M., & Welch, C. (2020) · Information Systems Frontiers · doi:10.1007/s10796-019-09921-1 · Cited by 389
The role of diversity in organizational resilience: a theoretical framework
Duchek, S., Raetze, S., & Scheuch, I. (2020) · Business Research · doi:10.1007/s40685-019-0084-8 · Cited by 300
What is the Metaverse and who seeks to define it? Mapping the site of social construction
Dolata, M., & Schwabe, G. (2023) · Journal of Information Technology · doi:10.1177/02683962231159927 · Cited by 222
OM Forum—Healthcare Operations Management: A Snapshot of Emerging Research
Dai, T., & Tayur, S. (2020) · Manufacturing & Service Operations Management · doi:10.1287/msom.2019.0778 · Cited by 147
Metadata
- Authors
- Weick, K. E., & Sutcliffe, K. M.
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2015-09-02
- OpenAlex
- W4245466328
- Cited by
- 864
- References
- 0
- Citations by year
- 2026: 154 · 2025: 92 · 2024: 90 · 2023: 117 · 2022: 68 · 2021: 83 · 2020: 79 · 2019: 60 · 2018: 47 · 2017: 29 · 2016: 24 · 2015: 2
- FWCI
- 28.39
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Wiley eBooks (publishedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Disaster Management and Resilience
- Social Sciences › Safety Research › Safety and Risk Management
- Social Sciences › Decision Sciences › Management Science and Operations Research › Leadership, Behavior, and Decision-Making Studies
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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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.