因果关系
因果关系(物理学)
事故(哲学)
订单(交换)
组织学习
能力成熟度模型
知识管理
工程类
计算机科学
风险分析(工程)
运筹学
业务
运营管理
政治学
认识论
哲学
物理
财务
量子力学
软件
法学
程序设计语言
作者
Michael Behm,Arthur Schneller
标识
DOI:10.1080/01446193.2012.690884
摘要
In order for the construction industry to improve its poor safety performance it needs to learn from its safety mistakes and put the lessons learned to good use. Incident investigation theories and techniques vary widely in the peer-reviewed literature. The Loughborough Construction Accident Causation (ConAC) model was applied to State Department of Transportation construction accidents, and is proposed as a tool to facilitate organizational learning in the construction industry. Details of the methodology utilized are described so that it can be duplicated in research and in practice. By investigating 27 DOT construction incidents, the research demonstrates how the model can be used both in research and in practice. The model yielded 6.63 causes/factors/influences identified per incident, and correlated the causes to determine relationships. Incident causality is complex and multi-faceted. The Loughborough model facilitates a holistic view of incident causality and thus organizational learning.
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