[AISWorld] CFP: ECIS 2014 - Track "Decision Support and Big Data"

[08 ECIS14]

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CALL FOR PAPERS

22nd European Conference on Information Systems (ECIS 2014)

Track: Decision Support and Big Data
(
http://ecis2014.eu/wp-content/uploads/2013/07/8.-Decision-Support-and-Big-Data1.pdf
)

June 9-11, 2014, Tel Aviv, Israel (http://ecis2014.eu/)

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TRACK CHAIRS

Tina Comes, University of Agder, Norway, martina.comes at uia.no
Guido Schryen*, University of Regensburg, Germany, guido.schryen at ur.de
Stefan Voß, University of Hamburg, Germany, stefan.voss at uni-hamburg.de

 *Corresponding track chair


DESCRIPTION

Intelligent decision support is known to be crucial in many business
contexts, and it will both gain momentum and become increasingly
challenging through the availability of very large data pools (big data).
Sensor networks, social network activities, RFID deployment, Internet
search histories and retail transactions are just a few examples of sources
that are likely to generate Exabytes or even Zettabytes of data. The data
are characterized by high levels of volume, velocity, variety and
variability, and traditional analytics and techniques may easily fall short
of storing, analyzing and processing these data and, even more so, using
them in an intelligent way for decision making.

Key advantages of successfully managing big data and using them for
decision making and business analytics include the improvement of overall
efficiency, the improvement of speed and accuracy of decision making, the
ability to forecast, the identification of business opportunities and a
greater understanding of citizens’ and customers’ needs. Turning big data
into business and society value will thus become one of the major
challenges in the IS discipline. The close link between data and decisions
shall avoid the processing of irrelevant or redundant information and thus
help reduce information overload while ensuring that all relevant
information is processed.

This track looks for new and innovative methodologies, techniques,
theories, and systems that allow for exploiting big data pools to support
decision makers. We invite both quantitative and analytical contributions.


TOPICS OF INTEREST

Possible topics include, but are not limited to:

* Data mining and machine learning in decision support contexts,

* Decision making, including optimization models and methodologies

* Uncertainty and risk management in decision support

* Iterative, sequential and interdependent decisions

* Social media analysis and crowd sourcing

* Collaborative and participatory decision making including social media
applications

* Retail and customer analysis

* Logistics and supply chain analysis and supply chain risk management

* Internet data analysis

* Data quality

* Business value of big data

* Video analytics

* Geospatial analytics

* Cloud analytics and intelligence


SPONSORSHIP

Authors of exceptional papers will be invited for submitting an expanded
version to a fast-track special issue in the Springer journal Annals of
Information Systems.


IMPORTANT DATES

Paper Submission begins: 1 November, 2013
Submission Deadline Date: 8 December, 2013
Notification of Acceptance: March 3, 2014
Final version of accepted papers due: March 30, 2014
Early Bird Registration closes: April 16, 2014


ASSOCIATE EDITORS

Jörn Altmann, Seoul National University, Korea

Christer Carlsson, Abo Akademi University, Finland

Haluk Demirkan, University of Washington – Tacoma, USA

Benjamin Fabian, Humboldt-Universität zu Berlin, Germany

Andreas Fink, Helmut-Schmidt-University, Germany

Ole-Christoffer Granmo, University of Agder, Norway

Richard F. Hartl, University of Vienna, Austria

Laetitia Jourdan, INRIA, France

Mathias Klier, University of Regensburg, Germany

Nathalie Kliewer, Freie Universität Berlin, Germany

Leo Kroon, Rotterdam School of Management, The Netherlands

Janny M.Y Leung, The Chinese University of Hong Kong, China

Dirk C. Mattfeld, Technische Universität Braunschweig

Lars Mönch, Fernuniversität Hagen, Germany

Leysia Palen, University of Colorado, Boulder, USA

Fethi A. Rabhi, University of New South Wales, Australia

Franz Rothlauf, Johannes Gutenberg University of Mainz, Germany

Vicente Salas Fumás, Universidad de Zaragoza, Zaragoza, Spain

Michael Scholz, Universität Passau, Germany
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