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Man-made Catastrophes and Risk Information Concealment: Case Studies of Major Disasters and Human Fallibility. Softcover reprint of the original 1st ed. 2016
・ISBN 978-3-319-37098-9 paper EUR 49.99
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| 著者・編者 | Chernov, Dmitry / Sornette, Didier, |
|---|---|
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2016 |
| ページ数 | 342 pp. |
| 言語 | ENG |
| ニュース番号 | <A02-56214> |
解説
This book discusses the risks of information concealment in the context of major natural or industrial disasters - offering detailed descriptions and analyses of some 25 historical cases (Three Mile Island nuclear accident, Bhopal disaster, Challenger Space Shuttle explosion, Chernobyl nuclear disaster, Deepwater Horizon oil spill, Fukushima-Daiichi nuclear disaster, Enron's bankruptcy, Subprime mortgage crisis, Worldwide Spanish flu and SARS outbreaks, etc.) and applying these insights to selected on-going cases where such information concealment is suspected. Some successful examples of preventive anti-concealment practice are also presented.
In the book, the term 'concealment' is used to represent the two distinct behaviors uncovered in the investigations: (i) facts and information about an organization and its functioning being hidden from those that need them - here the concealment can be due to various factors, such as complexity and miscommunication, to name but two - and (ii) the conscious and deliberate action of keeping important information secret or misrepresenting it. This second meaning makes up a surprisingly important part of the evidence presented.
Accordingly, emphasis has been put on this second aspect and the approach is more pragmatic than academic, remaining focused on evidence-based practical and useful factors. It raises awareness and provides valuable lessons for decision- makers, risk specialists and responsible citizens alike. This work is also intended as a fact-based reference work for future academic and scholarly investigations on the roots of the problem, in particular regarding any psychological or sociological modeling of human fallibility.