<div dir="ltr"><p class="">Dear colleagues,</p>
<p class="">we would like to draw your attention to a call for papers
for the Business & Information Systems (BISE) special issue on
"DECISION ANALYTICS”, which can be found below. BISE (the International
Journal of WIRTSCHAFTSINFORMATIK) has been a leading IS journal for more than
50 years, and it is an affiliated journal of the Association for Information
Systems (AIS).</p>
<p class="">We cordially invite original research contributions for
this special issue until July 1, 2013.</p>
<p class="">Kind regards,</p>
<p class="">Martin Bichler</p>
<p class="">Editor-in-Chief BISE</p>
<p class=""><a href="http://www.bise-journal.com/">http://www.bise-journal.com</a></p>
<p class=""> </p>
<p class=""> </p>
<p class="">******************************************************************************</p>
<p class="">3/2014 Decision Analytics</p>
<p class=""><a href="http://www.bise-journal.com/?p=568">http://www.bise-journal.com/?p=568</a></p>
<p class=""> </p>
<p class="">Special Focus</p>
<p class="">----------</p>
<p class="">Nowadays information systems allow using large amounts of
digital, structured data for decision making. The power and ability of hardware
and software has been significantly increased. Related information and
communication technology (ICT) provides a competitive advantage in various
fields, such as supply chain management, logistics, marketing,
telecommunications, just to name a few. It incorporates and links to
information systems, planning tools for decision support as well as supporting
devices. While modern ICT systems are vital components in decision making,
their successful management rests on coordinated decision making using
analytical methods. Simulation and optimization can be employed for, for
example, pricing, procurement, distribution planning, and beyond. Efficient
algorithms have been developed combining heuristics and meta-heuristics with
exact methods. Besides these algorithms and available data, progress is
observed in sophisticated analytics tools to harness the tremendous potential
of the data to improve decision making. Intelligent devices can communicate
with various partners allowing access to relevant data to assist in collecting
information, share product information, negotiate prices, and distribute alerts
throughout concerned networks.</p>
<p class=""> </p>
<p class="">Decision analytics is the research and application area
comprising theory, methodology, and practice to analyze and support important
managerial decisions in a formal manner. The methods include models for
optimization of one or more goals, decision-making under conditions of
uncertainty, techniques of risk analysis and risk assessment, techniques for
facilitating group decision making as well as software and expert systems for
decision support. Special tools can be used for representing and formally
assessing important aspects of decisions, so that they help decision-makers to
leverage the knowledge hidden within organizational data. Methods and tools
involve data mining, optimization, simulation modeling, pattern recognition,
prescriptive methods, predictive modeling, and performance management.</p>
<p class=""> </p>
<p class="">The special focus issue strives to explore the synergies
between decision analytics and information systems. It serves as a forum for
researchers and practitioners to disseminate high-quality original research as
well as case-studies of real-world analytics tasks in a leading international
journal. Topics of interest include but are not limited to business
applications in the areas:</p>
<p class=""> </p>
<p class="">•
Applied probability and stochastic processes</p>
<p class="">•
Business intelligence and business analytics</p>
<p class="">•
Business simulation</p>
<p class="">•
Data mining and knowledge discovery</p>
<p class="">•
Decision support systems</p>
<p class="">•
Forecasting</p>
<p class="">•
Fuzzy decision-making</p>
<p class="">•
Group decision-making</p>
<p class="">•
Heuristics, metaheuristics, and matheuristics</p>
<p class="">•
Knowledge-based systems</p>
<p class="">•
Multiple-criteria analysis</p>
<p class="">•
Optimization systems and applications</p>
<p class="">•
Risk analysis</p>
<p class="">•
Robustness and sensitivity analysis</p>
<p class="">•
Text analytics/Text mining</p>
<p class="">•
Uncertainty modeling</p>
<p class="">•
Web Analytics</p>
<p class=""> </p>
<p class="">Submission</p>
<p class="">----------</p>
<p class="">Authors are asked to submit their papers online under the
category “BISE Decision Analytics” by 2013-07-01 via Springer’s submission
system Editorial Manager (<a href="http://www.editorialmanager.com/buis/">http://www.editorialmanager.com/buis/</a>).
All papers must follow the typing and formatting instructions for
WIRTSCHAFTSINFORMATIK/Business & Information Systems Engineering (BISE)
available at <a href="http://www.bise-journal.org">http://www.bise-journal.org</a>.
In particular, manuscripts should not exceed 50,000 characters (discounting
5,000 characters for each figure/table).</p>
<p class=""> </p>
<p class="">Submitted papers will undergo a double-blind review process
and be refereed by at least three domain experts according to quality,
originality, relevance, and scientific rigor.</p>
<p class=""> </p>
<p class="">Schedule</p>
<p class="">----------</p>
<p class="">Paper submission due: 2013-07-01</p>
<p class="">Notification of authors: 2013-08-26</p>
<p class="">Revisions due: 2013-10-28</p>
<p class="">Notification of authors: 2013-12-16</p>
<p class="">Completion of a second revision (if needed): 2014-01-20</p>
<p class="">Anticipated publication data: June 2014</p>
<p class=""> </p>
<p class="">Editors of the Special Focus</p>
<p class=""> </p>
<p class=""><span lang="DE">Prof. Dr. Leena
Suhl</span></p>
<p class=""><span lang="DE">DS&OR Lab</span></p>
<p class=""><span lang="DE">Universität
Paderborn</span></p>
<p class=""><span lang="DE">Warburger Straße
100</span></p>
<p class=""><span lang="DE">33098 Paderborn</span></p>
<p class=""><span lang="DE">Deutschland</span></p>
<p class=""><span lang="DE"><a href="mailto:suhl@dsor.de">suhl@dsor.de</a></span></p>
<p class=""><span lang="DE"> </span></p>
<p class=""><span lang="DE">Prof. Dr. Stefan
Voß</span></p>
<p class=""><span lang="DE">Institut für
Wirtschaftsinformatik</span></p>
<p class=""><span lang="DE">Universität Hamburg</span></p>
<p class=""><span lang="DE">Von-Melle-Park 5</span></p>
<p class=""><span lang="DE">20146 Hamburg</span></p>
<p class=""><span lang="DE">Deutschland</span></p>
<p class=""><span lang="DE"><a href="mailto:stefan.voss@uni-hamburg.de">stefan.voss@uni-hamburg.de</a></span></p></div>