ERM 2015 - Special Issue on “Decision Making in Enterprise Risk Management (ERM)”

Special Issue on “Decision Making in Enterprise Risk Management (ERM)”
Guest Editors
Desheng Dash Wu, University of Toronto, Canada, dwu-AT-rotman.utoronto.ca
Alexandre Dolgui, Ecole des Mines de Saint-Etienne, France, alexandre.dolgui-AT-mines-stetienne.fr
David L. Olson, University of Nebraska, USA, Dolson3-AT-unl.edu
Aims and Score
Risks exist in every aspect of our lives. Businesses exist to cope with risks. Risks by definition are surprises, causing a great deal of potential damage and inconvenience. Recent examples of disaster risks include terrorism leading to the gassing of the Japanese subway system, to 9/11/2001 in U.S., and to bombings of Spanish and British transportation systems; The SARS virus disrupting public and business activities, particularly in Asia; More recently, the H1N1 virus has sharpened the awareness of the response system world-wide; and the global financial crisis threatens recession in all aspects of the world’s economies.
Enterprise risk management (ERM) is an integrated approach to manage risks facing an organization, seeking most effective ways to deal with risk. It has become a vital topic in both academia and practice during the past several decades. ERM has recently received widespread attention from both the business and academic community ?it is now emerging as a new discipline. ERM is an integrated approach to manage risks facing an organization, seeking most effective ways to deal with risk.
Most management science tools have been used for optimizing risk management. Risk management tools benefit from various management science approaches. For example, traditional optimization decision models have been developed for robust portfolio management through maximizing risk measures such as value at risk. Advanced decision support systems based on neural networks and support vector machines have been widely used for early warning of company bankruptcy. Agent-based decision systems have been used in supply chain risk management. Mulicriteria decision analysis helped extracting the knowledge of experts about global investing risks, and also selecting nuclear decontamination technologies. Various business data mining models are useful in hedging financial risks. Investigation of management science tools in enterprise risk management is beneficial to both practitioners and academic researchers. This special issue of Omega is intended to present recent methodological advances and contemporary applications of management sciences to enhance decision making in the area of enterprise risk management.
Topics
Potential topics include, but are not limited to:
Data mining in enterprise risk management
Data mining in managing market risk
Agent based supply chain risk management
Portfolio selection of various financial instruments
Game based decision approaches in risk management
Credit scoring decisions
Decision making and business modeling under uncertainty
Intelligence Multi-criteria decision making in financial services
Agent based simulation in operational risk management
Engineering risk analysis
Knowledge management and data mining for natural disasters risk management
Other decision science methods and applications for enterprise risk management
Articles need to meet the high standards of research rigor and originality required in OMEGA, and include managerial relevance with respect to decision making under risk.
Manuscript Preparation and Submission
Manuscripts will be refereed according to the standards of OMEGA. Authors are asked to closely follow the “Instructions to Authors” which can be found on the Omega Journal web site at www.elsevier.com/authors/home Article submissions should be made online at www.ees.elsevier.com/omega/default.asp. Under Article Type select Special Issue Decision Making ERM. All papers will be handled through the journal submission system. Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere.
Publication Schedule
Deadline for paper submissions: December 31, 2013.
The Special Issue is scheduled for publication in 2015.