Cited by 25

The DOI matches its Crossref record.

How to catch a black swan: Measuring the benefits of the premortem technique for risk identification

Gallop, David, Willy, Chris, Bischoff, John·2016·Journal of Enterprise Transformation

Abstract

Projects face the challenge of increasing complexity and uncertainty leading to more black swans (hard-to-predict, potentially catastrophic risks) in our future. Within the two schools of risk (objective and subjective), we theorize the latter is the key to early identification of the black swan. Creativity-based risk identification techniques are not bound by the historical data and precedence but teams must overcome deliberate ignorance for meaningful collaboration. This study compares two creativity-based risk identification techniques—brainstorming and premortem. The premortem is the theoretical opposite of a postmortem. In a postmortem, the investigator determines the cause of death after the patient has died. The premortem calls for a team to imagine the project has failed and deduce causes for the failure. The team then proposes changes to the project plan to address causes of the failure. We conclude that teams using the premortem technique identified better quality risks, more quality changes to the plan, and identified more black swan risks than their brainstorming counterparts.

Overview

Integrity signals

Registry

Crossref · 10.1080/19488289.2016.1240118

Cites

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

No references could be resolved yet.

Research works printed but not linked: 43

  1. 10.1016/j.ress.2013.07.005 · DOI
  2. Beasley M., 2015
  3. 10.1177/1056492611432802 · DOI
  4. 10.1007/s12599-012-0206-8 · DOI
  5. Carpenter T. D., 2014, 82, 1119
  6. 10.1016/j.jengtecman.2010.03.006 · DOI
  7. 10.1002/pmj.20242 · DOI
  8. DeCarlo D., 2004
  9. Diehl M., 1987, 53, 497
  10. 10.5437/08956308x5702005 · DOI
  11. 10.5437/08956308x5701005 · DOI
  12. Goodman L., 1963, 58, 310
  13. 10.1007/s10726-012-9312-8 · DOI
  14. Hobbs D., 1994
  15. 10.1108/09653561211234516 · DOI
  16. 10.1007/s12599-013-0282-4 · DOI
  17. 10.1243/09544054JEM1080 · DOI
  18. Klein G., 2004
  19. Klein G., 2007
  20. Klein G., 2009
  21. 10.1016/j.jesp.2011.01.004 · DOI
  22. 10.1016/j.ijproman.2009.05.003 · DOI
  23. Mandelbrot B. B., 2010, 47
  24. 10.1016/j.nutres.2015.04.014 · DOI
  25. 10.1016/j.jengtecman.2012.11.004 · DOI
  26. 10.1108/09653561211234507 · DOI
  27. Mitchell D. J., 1989, 2, 25
  28. Nastase P., 2013, 12, 101
  29. Palisade, 2015a
  30. Palisade, 2015b
  31. 10.1111/j.1539-6924.2011.01787.x · DOI
  32. 10.1177/0018720815570374 · DOI
  33. PMI, 2009
  34. Reeves J. D., 2013, 25, 3
  35. Robson C., 2011
  36. Ross J., 1999
  37. Sakia R. M., 1992, 41, 169
  38. Smithson M., 1989
  39. Taleb N., 2010
  40. Veinott B., 2010
  41. Wessa P., 2015
  42. 10.1002/pmj · DOI
  43. Zhao Z., 2010, 5, 181

Cited by

Sorted by citations

See all 25

Metadata

Authors
Gallop, D., Willy, C., & Bischoff, J.
Venue
Journal of Enterprise Transformation
Published
2016-04-02
Volume
6
Issue
2
Pages
87-106
ISSN
  • 1948-8289
  • 1948-8297
Cited by
25
References
0
Language
en

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