Literature DB >> 10975178

A case study of co-ordinative decision-making in disaster management.

W Smith1, J Dowell.   

Abstract

A persistent problem in the management of response to disasters is the lack of co-ordination between the various agencies involved. This paper reports a case study of inter-agency co-ordination during the response to a railway accident in the UK. The case study examined two potential sources of difficulty for co-ordination: first, poorly shared mental models; and, second, a possible conflict between the requirements of distributed decision-making and the nature of individual decision-making. Interviews were conducted with six individuals from three response agencies. Analysis of reported events suggested that inter-agency co-ordination suffered through a widespread difficulty in constructing a reflexive shared mental model; that is, a shared mental representation of the distributed decision-making process itself, and its participants. This difficulty may be an inherent problem in the flexible development of temporary multi-agency organizations. The analysis focused on a distributed decision over how to transport casualties from an isolated location to hospital. This decision invoked a technique identified here as the progression of multiple options, which contrasts with both recognition-primed and analytical models of individual decision-making. The progression of multiple options appeared to be an effective technique for dealing with uncertainty, but was a further source of difficulty for inter-agency co-ordination.

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Mesh:

Year:  2000        PMID: 10975178     DOI: 10.1080/00140130050084923

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  2 in total

Review 1.  Decision making in urological surgery.

Authors:  Hamid Abboudi; Kamran Ahmed; Pasha Normahani; May Abboudi; Roger Kirby; Ben Challacombe; Mohammed Shamim Khan; Prokar Dasgupta
Journal:  Int Urol Nephrol       Date:  2012-02-26       Impact factor: 2.370

2.  Dynamic Communication Quantification Model for Measuring Information Management During Mass-Casualty Incident Simulations.

Authors:  Omer Perry; Eli Jaffe; Yuval Bitan
Journal:  Hum Factors       Date:  2021-07-18       Impact factor: 2.888

  2 in total

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