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Call
for Papers for a Special Issue of
Information
Sciences Impact Factor: 3.095
“Business Intelligence in Risk Management”
Guest editor: Desheng Dash Wu Shu-Heng
Chen and David L. Olson
Also
see the link at the journal web:
http://www.elsevier.com/wps/find/journaldescription.cws_home/505730/description#description
Risks exist in every aspect of our lives, and can mean
different things to different people, while negatively in general they
always cause a great deal of potential damage and inconvenience for the
stakeholders. For example, recent disaster risks include terrorism
leading to the gassing of the Japanese subway system, to 9/11/2001, to
bombings of Spanish and British transportation systems, and 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; the financial crisis has resulted in recession in all aspects
of the economy. Risk management has become a vital topic in both
academia and practice during the past several decades. Integrated approaches
are required to manage risks facing an organization; sometimes effective
risk-taking strategies may involve new business philosophies such as
enterprise risk management. Most business intelligence tools have been
used for enhancing risk management, and the risk management tools benefit
from business intelligence approaches. For example, artificial intelligence
models such as neural networks and support vector machines have been widely
used for establishing the early warning system for monitoring a company’s
financial status (e.g., Martens et al. 2007; Alfaro et al. 2008; Lin and
Chen 2007). Agent-based theories are employed in supply chain risk
management (e.g., Julka et al. 2002; Liang and Huang, 2006). Business
intelligence models are also useful in hedging financial risks by
incorporating market risks, credit risks, and operational risks (Wu and
Olson 2009). Investigation of business intelligence tools in risk
management is beneficial to both practitioners and academic
researchers. This special issue of Information Sciences is intended to
present the recent advances in using business intelligence for enterprise
risk management. Authors are encouraged to submit both theoretical and
applied articles addressing this theme in this special issue.
Subject Coverage
Potential topics include, but are not limited to:
· Artificial
intelligence in enterprise risk management
· Agent-based
supply chain risk management
· Portfolio
selection of various financial instruments
· Credit
scoring using data mining
· Data mining
in managing market risks
· Intelligence
multi-criteria decision making in financial services
· Agent-based
simulation in operational risk management
· Game agents
in risk management
· Artificial
intelligence for natural disasters risk management
· Many other
uses of business intelligence for enterprise risk management
Manuscript Preparation and Submission
To prepare their manuscripts,
authors are asked to closely follow the “Instructions to Authors,” which
can be found on the Information Sciences Journal Home page: http://www.ees.elsevier.com/ins/Manuscripts will be
refereed according to the standards of Information Sciences. All papers
will be rigorously refereed by 2 or 3 peer reviewers of the Journal. Authors are also
expected to refer to the INS J.'s papers in order to show the relevance of
their work to the INS scope. To
submit your article online, go to: http://www.ees.elsevier.com/ins/. All papers
will be handled through the EES. Submitted papers should not have been
previously published nor be currently under consideration for publication
elsewhere.
Important dates
Paper submission:
15-11-2010
Acceptance notification:
15-08-2011
Final papers:
01-10-2011
Queries may be submitted by an e-mail to the guest
editor:
Desheng Dash Wu
(managing)
Affiliated Professor, RiskLab, University of Toronto；
Director of RiskChina Research
Center, University of Toronto, Canada
(416)
880-5219
FAX (416) 978-41 07
E-mail: dash@risklabchina.ca, dash@risklab.ca
(use only one account please)
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