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A Scenario-based approach for analyzing complex cascading effects in Operational Risk Management
Miguel Ramirez de la Huerga
author
Victor A. BaƱuls
author
Murray Turoff
author
2015
University of Agder (UiA)
Kristiansand, Norway
English
This is the first paper to apply Cross Impact Analysis (CIA) and Interpretative Structural Modeling (ISM) methods for analyzing complex cascading effects in Operational Risk Management in an industrial environment. Its main objective is to improve the understanding of the overall picture of an organization?s risks. The paper summarizes the development of a CIA-ISM method of the interaction of 18 critical events of an industrial plant as a first step to improving organizational resilience based on the company?s own estimations as well as the estimates of a panel. The main benefit of using these methods is to know the relationships between different risks and consequences, direct links, indirect and cascading effects. Having the possibility of knowing a full risk map and being able to make a forecast will help to mitigate the unexpected effects and have a better response after an emergency situations is the same as being more resilient.
Cross Impact Analysis
Emergency Management
Industrial Safety and Security Management
Interpretative Structural Modeling
Operational Risk Management
exported from refbase (http://idl.iscram.org/show.php?record=1280), last updated on Fri, 01 Apr 2016 04:08:51 +0200
text
http://idl.iscram.org/files/miguelramirezdelahuerga/2015/1280_MiguelRamirezdelaHuerga_etal2015.pdf
MiguelRamirezdelaHuerga_etal2015
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
ISCRAM 2015
L. Palen
editor
M. Buscher
editor
T. Comes
editor
A. Hughes
editor
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
2015
University of Agder (UiA)
Kristiansand, Norway
conference publication
9788271177881
2411-3387
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