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Author
Miguel Ramirez de la Huerga
;
Victor A. Bañuls
;
Murray Turoff
Title
A Scenario-based approach for analyzing complex cascading effects in Operational Risk Management
Type
Conference Article
Year
2015
Publication
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
Abbreviated Journal
ISCRAM 2015
Volume
Issue
Pages
Keywords
Cross Impact Analysis
;
Emergency Management
;
Industrial Safety and Security Management
;
Interpretative Structural Modeling
;
Operational Risk Management
Abstract
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.
Address
Corporate Author
Thesis
Publisher
University of Agder (UiA)
Place of Publication
Kristiansand, Norway
Editor
L. Palen; M. Buscher; T. Comes; A. Hughes
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
2411-3387
ISBN
9788271177881
Medium
Track
Decision Support Systems
Expedition
Conference
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
Notes
Approved
yes
Call Number
Serial
1280
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