Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 175Occupational Health and Safety ResearchOrganizational Learning and LeadershipIndustrial and Mining Safety

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

These Lives Will Not Be Lost in Vain: Organizational Learning from Disaster in U.S. Coal Mining

Madsen, Peter M.·2009·Organization Science

Abstract

The stated purpose of the investigations that invariably follow industrial, transportation, and mining disasters is to learn from those tragedies to prevent future tragedies. But does prior experience with disaster make organizations more capable of preventing future disasters? Do organizations learn from disasters experienced by other organizations? Do organizations learn differently from rare disasters than they do from common minor accidents? In its present state, the organizational safety literature is poorly equipped to answer these questions. The present work begins to address this gap by empirically examining how prior organizational experience with disaster affects the likelihood that organizations will experience future disasters. It approaches the issue in the context of fatal U.S. coal mining accidents from 1983 to 2006. The analysis demonstrates that organizations do learn to prevent future disasters through both direct and vicarious experience with disaster. It also indicates that the mechanisms through which organizations learn from disasters differ from those through which they learn from minor accidents.

Overview

Integrity signals

Registry

Crossref · 10.1287/orsc.1080.0396

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Research works printed but not linked: 54

  1. Argote L., 1999, Organizational Learning: Creating, Retaining, and Transferring Knowledge
  2. 10.1287/mnsc.36.2.140 · DOI
  3. 10.1287/orsc.1060.0239 · DOI
  4. 10.1287/mnsc.44.7.996 · DOI
  5. 10.1016/j.lrp.2005.03.004 · DOI
  6. Beck U., 1992, Risk Society: Towards a New Modernity
  7. 10.2307/2553852 · DOI
  8. CAIB, 2003, Columbia Accident Investigation Board Report, 1
  9. Carroll J. S., 1995, Indust. Environ. Crisis Quart., 9, 175, 10.1177/108602669500900203 · DOI
  10. 10.1111/1467-6486.00116 · DOI
  11. 10.1016/S0191-3085(02)24004-6 · DOI
  12. 10.2307/3556618 · DOI
  13. 10.1287/mnsc.41.11.1750 · DOI
  14. 10.1007/BF00057867 · DOI
  15. Dutton J. M., 1984, Acad. Management Rev., 9, 235, 10.2307/258437 · DOI
  16. Eisenhardt K. M., 2002, The Qualitative Researcher's Companion, 5
  17. 10.1287/orsc.2.1.58 · DOI
  18. 10.2307/3094911 · DOI · Paper page
  19. 10.1289/ehp.112-a352 · DOI
  20. 10.2307/2393809 · DOI
  21. Jones-Lee M. W., 1985, Econom. J., 95, 49
  22. 10.2307/1924583 · DOI
  23. Kennedy P., 2003, A Guide to Econometrics
  24. 10.1016/S0304-3894(98)00264-7 · DOI
  25. LaPorte T. R., 1991, J. Public Admin. Res. Theory, 1, 19
  26. 10.1146/annurev.so.14.080188.001535 · DOI
  27. Lieberman M. B., 1984, RAND J. Econom., 24, 418
  28. 10.1287/orsc.2.1.1 · DOI
  29. 10.1287/orsc.10.4.482 · DOI
  30. 10.1086/226550 · DOI · Paper page
  31. Nelson R. R., 1982, An Evolutionary Theory of Economic Change
  32. Perrow C., 1984, Normal Accidents
  33. 10.1287/mnsc.47.6.752.9811 · DOI
  34. Reason J. T., 1997, Managing the Risks of Organizational Accidents
  35. 10.1111/1468-5973.00033 · DOI · Paper page
  36. 10.1287/orsc.1.2.160 · DOI
  37. 10.5465/AME.2001.5229613 · DOI
  38. Roberts K. H., 2005, Organization at the Limit: NASA and the Columbia Disaster, 81
  39. Rochlin G. I., 1987, Naval War Col. Rev., 40, 76
  40. 10.2307/3094889 · DOI
  41. Sagan S. D., 1993, The Limits of Safety: Organizations, Accidents, and Nuclear Weapons, 10.1515/9780691213064 · DOI
  42. Shrivastava P., 1987, Bhopal: Anatomy of a Crisis
  43. Shrivastava P., 1995, Acad. Management Rev., 20, 118, 10.2307/258889 · DOI
  44. Snook S. A., 2002, Friendly Fire: The Accidental Shootdown of U.S. Black Hawks over Northern Iraq
  45. 10.1111/j.1467-6486.1988.tb00040.x · DOI
  46. Turner B. A., 1978, Man-Made Disaster
  47. Vaughan D., 1996, The Challenger Launch Decision
  48. Vaughan D., 2005, Organization at the Limit: NASA and the Columbia Disaster
  49. 10.1016/S0957-4174(00)00046-4 · DOI
  50. 10.2307/2393372 · DOI
  51. Weick K. E., 1999, Res. Organ. Behav., 21, 81
  52. 10.2514/8.155 · DOI
  53. 10.1111/j.1540-5915.1979.tb00026.x · DOI
  54. 10.2307/3003455 · DOI

Cited by

See all 175

Metadata

Authors
Madsen, P. M.
Affiliations
Brigham Young University (US)
Corresponding author
Madsen, Peter M.
Venue
Organization Science
Published
2009-10
Volume
20
Issue
5
Pages
861-875
ISSN
  • 1047-7039 (ISSN-L)
  • 1526-5455
OpenAlex
W2032941552
Cited by
175
References
5
Citations by year
2026: 9 · 2025: 11 · 2024: 11 · 2023: 13 · 2022: 12 · 2021: 13 · 2020: 14 · 2019: 17 · 2018: 13 · 2017: 9 · 2016: 7 · 2015: 12 · 2014: 7 · 2013: 8 · 2012: 15
FWCI
2.96
Type
journal article
Language
en
Open access
closed
Locations
Organization Science (publishedVersion)
Funders
National Science Foundation
Topics
  • Social Sciences › Safety Research › Occupational Health and Safety Research
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Organizational Learning and Leadership
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Industrial and Mining Safety
Keywords
organizational learning, disaster learning, coal mine accidents, mine safety, accident prevention, observational learning, organizational experience, fatal accidents, safety management, institutional memory

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.