DocumentCode :
3440131
Title :
Knowledge Driven Enterprise Risk Management
Author :
Nayak, Nitin ; Akkiraju, Rama
Author_Institution :
Thomas J. Watson Res. Center, IBM, Hawthorne, NY, USA
fYear :
2012
fDate :
24-27 July 2012
Firstpage :
564
Lastpage :
573
Abstract :
In this paper we describe a knowledge management approach for addressing enterprise-level risks and present our experiences in piloting its implementation within a large, multi-organizational enterprise. Our approach facilitates cross organizational discussion and enables enterprise-level perspectives in risk identification, analysis and management thereby avoiding the dangerous pitfalls of silo-approach to risk management. Our tool consists of two parts: (1) a knowledge management tool that enables the collection, and visualization, of risk data and collaboration among risk managers of various organizations within an enterprise (2) an Enterprise Risk Management (ERM) risk assessment and analysis workbench that enables risk managers to (a) qualitatively analyze the interrelationships among various risk elements, and their impact on business objectives and (b) quantitatively assess the risk exposure, and the impact of risk mitigation projects. To the best of our knowledge this is the first of its kind of a tool that provides a knowledge management based approach to enterprise risk management.
Keywords :
corporate modelling; knowledge management; risk analysis; ERM; business objectives; cross organizational discussion; enterprise-level risks; knowledge driven enterprise risk management; knowledge management approach; multiorganizational enterprise; risk assessment; risk identification; silo-approach; Investments; Knowledge management; Monitoring; Organizations; Risk management; Enterprise Risk Management; Knowledge management tools for risk;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SRII Global Conference (SRII), 2012 Annual
Conference_Location :
San Jose, CA
ISSN :
2166-0778
Print_ISBN :
978-1-4673-2318-5
Electronic_ISBN :
2166-0778
Type :
conf
DOI :
10.1109/SRII.2012.69
Filename :
6311039
Link To Document :
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