Post Normal Accident

Revisiting Perrow's Classic

Jean-Christophe Le Coze

• Publisher: CRC Press
• Year: 2020
• ISBN:
  9781000075403
• Edition: 1
• Topic: Computer Science
• Subtopic: Human-Computer Interaction
• Index: Computer Science

Post Normal Accident revisits Perrow's classic Normal Accident published in 1984 and provides additional insights to our sociological view of safety-critical organisations. The operating landscape of high-risk systems has indeed profoundly changed in the past 20 to 30 years but the core sociological models of safety remain associated with classics of the 1980s and 1990s.

This book examines the conceptual and empirical evolutions of the past two to three decades to explore their implications for safety management based on several strands of works in various research traditions in safety (e.g. cognitive engineering and system safety, high-reliability organisation, sociology of safety, regulatory studies) and other interdisciplinary fields (e.g. international business, globalisation studies, strategy management, ecology).

It offers a new and insightful interpretation to the challenges of today. It investigates how globalisation has reconfigured the operating landscape of high-risk systems and emphasises the importance of thinking safety through a strategic angle. This book serves as an ideal resource for the safety professionals and safety researchers from any established disciplines such as sociology, engineering, psychology, political science or management.

Features:

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• Introduces an original analysis of popular safety writings, including Normal Accident, by Perrow

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• Identifies the importance of thinking safety from a sociological angle with the help of key writers

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• Stresses the need for greater sensitivity to strategy and " errors from the top " when it comes to the safety of high-risk systems

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• Explains how globalisation has reconfigured the operating landscape of high-risk systems

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• Renews our understanding of the current safety management challenges in an increasingly global risk picture