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CALL FOR PAPERS
17th Americas Conference on Information Systems
(http://amcis2011.aisnet.org)
August 4-7, 2011, Detroit, MI, USA
TRACK: Business Intelligence and Knowledge Management
MINITRACK: Design, operations, and consolidation of BI applications
MINITRACK DESCRIPTION
Broadly defined, business intelligence (BI) refers to applications,
technologies, and processes for gathering, storing, accessing, and analyzing
data to help business users make better decisions. Continuing the tradition
of decision support systems, BI has received considerable attention in
practice and academia over the last decades. According to IBM's 2009 Global
CIO Study, where more than 2,500 chief information officers worldwide point
to BI and analytics as the top visionary plan for enhancing their companies'
competitiveness, BI's importance is likely to increase even further. Besides
enabling organizational transformation, BI initiatives mainly focus on the
development of BI applications and infrastructure (e. g. data warehouses or
data marts).
Despite obvious opportunities, BI applications and infrastructure also have
a downside risk. Some examples: High storage capacity and powerful analytic
functionality do not only enable to better understand complex business
problems. They also catalyze information overload, which reduces decision
quality, induces mental stress, and causes avoidable costs. Moreover,
decision models by trend exhibit high mathematical complexity and
intransparent preconditions for application. This corrupts both the
credibility and understandability of decision recommendations - particularly
in the case of oversimplifying presentations. With most decision makers
heavily trusting in their BI applications' recommendations and content - at
the latest until the recent global financial crisis -, performing multiple
tasks simultaneously, and making decisions under time pressure, there is a
considerable risk of "wrong decisions" with high economic impact.
Thus, BI applications and infrastructure play an important role in
information provision and corporate performance. For that they help realize
opportunities and mitigate risks, research needs to provide both theoretical
insights into and practical methods for the design, operations, and
consolidation of BI applications. This minitrack aims at serving as a
platform for related research results.
RESEARCH COVERAGE
The topics of interest include, but are not limited to:
. Cost-benefit-analysis for BI applications
. Information requirements analysis for BI applications
. Approaches to coping with information overload
. Data visualization and visual analytics
. Potentials of meta data usage
. Design and consolidation of data warehouses and data marts
. BI and business process management
. BI and business performance management
. Consolidation of historically grown BI applications
. Operational BI
. BI performance metrics
. BI strategy and BI maturity
. BI governance
. BI success factors
. Process models for introducing BI applications
We invite contributions from various disciplines including information
systems, information management, computer science, cognitive science,
economics, and management in order to properly deal with the various facets
of the design, operations, and consolidation of BI applications. We also
encourage papers applying quantitative and qualitative, empirical and
theoretical research methodologies such as case studies, action research,
surveys, experiments, and design science.
SUBMISSION SITE
http://mc.manuscriptcentral.com/amcis2011
IMPORTANT DATES
AIS Review System will begin accepting submissions: December 30, 2010
Deadline for paper submissions: February 17, 2011
Notification of acceptance: March 24, 2011
Final copy due: April 21, 2011
MINITRACK CHAIRS
Maximilian Roeglinger, FIM Research Center, University of Augsburg
(Maximilian.roeglinger@wiwi.uni-augsburg.de)
Marco C. Meier, FIM Research Center, University of Augsburg
(marco.meier@wiwi.uni-augsburg.de)
Carsten Felden, TU Bergakademie Freiberg
(carsten.felden@bwl.tu-freiberg.de)
TRACK CHAIRS
Paul Hu, University of Utah
Uday Kulkarni, Arizona State University
Gloria Phillips-Wren, Loyola University Maryland
______________________________________________________
Dr. Maximilian Roeglinger
Diplom-Wirtschaftsinformatiker (Univ.)
Research Center
Finance & Information Management
Prof. Dr. Hans Ulrich Buhl
University of Augsburg, D-86135 Augsburg
______________________________________________________
Phone: +49 821 598-4872 (Secretariat: -4801)
Fax: +49 821 598-4899
mailto:maximilian.roeglinger@wiwi.uni-augsburg.de
http://www.fim-online.eu/
______________________________________________________