The role of expertise in dynamic risk assessment: A reflection of the problem-solving strategies used by experienced fireground commanders
Author(s) -
Justin Okoli,
John Watt,
Gordon Weller,
William Wong
Publication year - 2016
Publication title -
risk management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.372
H-Index - 16
eISSN - 1743-4637
pISSN - 1460-3799
DOI - 10.1057/rm.2015.20
Subject(s) - process (computing) , experiential learning , action (physics) , task (project management) , dynamic decision making , experiential knowledge , knowledge management , empirical evidence , risk management , risk assessment , reflection (computer programming) , reflective practice , empirical research , psychology , computer science , management science , artificial intelligence , mathematics education , pedagogy , epistemology , business , engineering , philosophy , physics , computer security , systems engineering , finance , quantum mechanics , programming language , operating system
Although the concept of dynamic risk assessment has in recent times become more topical in the training manuals of most high-risk domains, only a few empirical studies have reported how experts actually carry out this crucial task. The knowledge gap between research and practice in this area, therefore, calls for more empirical investigation within the naturalistic environment. In this article, we present and discuss the problem-solving strategies employed by 16 experienced operational firefighters using a qualitative knowledge elicitation tool – the critical decision method. Findings revealed that dynamic risk assessment is not merely a process of weighing the risks of a proposed course of action against its benefits, but rather an experiential and pattern recognition process. The article concludes by discussing the implications of designing training curriculum for the less experienced officers using the elicited expert knowledge.
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