The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Some Characteristics of One Type of High Reliability Organization
Abstract
This paper is concerned with defining organizational processes necessary to operate safely technologically complex organizations that can do great physical harm to themselves and their surrounding environments. The paper first argues that existing organizational research is little help in understanding organizational processes in such organizations. It then identifies nuclear powered aircraft carriers as examples of potentially hazardous organizations with histories of excellent operations. The paper then examines a set of components of “risk” identified by Perrow (1984) and antecedents to catastrophe elucidated by Shrivastava (1986) and discusses how carriers deal with these factors to lessen their potentially negative effects. The paper concludes with suggestions for future research.
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
Environment as an Influence on Managerial Autonomy
Dill, W. R. (1958) · Administrative Science Quarterly · doi:10.2307/2390794 · Cited by 978
The Organizational and Interorganizational Development of Disasters
Turner, B. A. (1976) · Administrative Science Quarterly · doi:10.2307/2391850 · Cited by 876
Cited by
Managing Legitimacy: Strategic and Institutional Approaches
Suchman, M. C. (1995) · The Academy of Management Review · doi:10.2307/258788 · Cited by 19,903
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
Linnenluecke, M. K. (2017) · International Journal of Management Reviews · doi:10.1111/ijmr.12076 · Cited by 1,682
Team Mental Model: Construct or Metaphor?
Klimoski, R., & Mohammed, S. (1994) · Journal of Management · doi:10.1177/014920639402000206 · Cited by 1,632
Pearson, C. M., & Clair, J. A. (1998) · The Academy of Management Review · doi:10.5465/amr.1998.192960 · Cited by 1,534
Developing design propositions through research synthesis
Denyer, D., Tranfield, D., & van Aken, J. E. (2008) · Organization Studies · doi:10.1177/0170840607088020 · Cited by 1,057
GREENHALGH, T., POTTS, H. W. W., WONG, G., BARK, P., & SWINGLEHURST, D. (2009) · The Milbank Quarterly · doi:10.1111/j.1468-0009.2009.00578.x · Cited by 541
Learning from Complexity: Effects of Prior Accidents and Incidents on Airlines' Learning
Haunschild, P. R., & Sullivan, B. N. (2002) · Administrative Science Quarterly · doi:10.2307/3094911 · Cited by 494
Ren, J., Jenkinson, I., Wang, J., Xu, D. L., & Yang, J. B. (2008) · Journal of Safety Research · doi:10.1016/j.jsr.2007.09.009 · Cited by 189
These Lives Will Not Be Lost in Vain: Organizational Learning from Disaster in U.S. Coal Mining
Madsen, P. M. (2009) · Organization Science · doi:10.1287/orsc.1080.0396 · Cited by 175
D’Adderio, L., & Pollock, N. (2014) · Organization Studies · doi:10.1177/0170840614538962 · Cited by 129
Organizational Learning Under Fire: Theory and Practice
CARLEY, K. M., & HARRALD, J. R. (1997) · American Behavioral Scientist · doi:10.1177/0002764297040003007 · Cited by 125
Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory
Kaur, H., Adar, E., Gilbert, E., & Lampe, C. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency · doi:10.1145/3531146.3533135 · Cited by 92
Safety organizing, emotional exhaustion, and turnover in hospital nursing units
Vogus, T. J., Cooil, B., Sitterding, M., & Everett, L. Q. (2014) · Medical Care · doi:10.1097/mlr.0000000000000169 · Cited by 50
Resilient practices in maintaining safety of health information technologies
Smith, M. W., Ash, J. S., Sittig, D. F., & Singh, H. (2014) · Journal of Cognitive Engineering and Decision Making · doi:10.1177/1555343414534242 · Cited by 26
“Other developments in systems safety, such as high reliability theory (Roberts, 1990), can also offer some contributions.”
Background
Metadata
- Authors
- Roberts, K. H.
- Venue
- Organization Science
- Published
- 1990-05
- Volume
- 1
- Issue
- 2
- Pages
- 160-176
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W2064292914
- Cited by
- 934
- References
- 2
- FWCI
- 11.75
- 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
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.
