[AISWorld] Call for Papers: Special BIG DATA Issue in Business and Information Systems (BISE)

[Vasant Dhar]

Dear colleagues,

we would like to draw your attention to a call for papers for the Business & Information Systems (BISE) special issue on "BIG DATA", which can be found
below. BISE (the International Journal of WIRTSCHAFTSINFORMATIK) has been a leading journal in information systems for 55 years (impact factor 2012: 1.2).

We cordially invite original research contributions for this special issue until November 1, 2013.

Kind regards,
Vasant Dhar, Matthias Jarke, and Jürgen Laartz

BISE Special Issue Editors**
**http://www.bise-journal.com/?p=644**

Special Issue
=========
The buzzword "Big Data" nowadays characterizes analytical systems with extreme data volume, high data variety, and rapid data generation velocity.
There are reasons to believe that the current rate of data growth will continue or even accelerate in the coming years. The "Internet of Things" accelerates data
generation by integrating billions of sensors, the media spectrum is broadened by image, audio, and video, and ever faster multicore and parallel
computers produce more complex simulation results that need to be administered and analyzed. This trend presents numerous challenges and
opportunities for business, public administration, and the various sciences. But intrinsically, it also increases dependency on systems and allows them to enter more and more
deeply into areas of life that until very recently were largely private. Many research endeavours have begun to explore these new opportunities and challenges.

The planned special issue intends to contribute to the scientific literature, especially on the role of business information systems in this major societal change.
We desire contributions from research and practice e.g.on the following themes:

* Strategic role of big data for competitiveness and service quality
* Empirical studies of the impact of big data
* Legal and regulatory aspects of big data
* Privacy-aware data mining
* Big data in specific aspects of business such as finance, marketing,logistics, etc.
* Big data in public sector services and government planning
* Big data und Cyberphysical Systems in business
* Data quality and Big Data
* Role of novel big data technologies such as stream mining, main memory databases, cloud computing, etc.
* Big data analysis of heterogeneous data sources

The emphasis of submissions should be on data-centric approaches; purely model-centric methods, even if they work with large data sets, are not the
focus of the special issue.

Submission Guidelines
==================
Please submit papers for the sections BISE -- Research Paper and BISE -- State of the Art by 2013-11-1 at the latest via the journal's online submission
system (**http://www.editorialmanager.com/buis/**). Please observe the instructions regarding the format and size of contributions to Business &
Information Systems Engineering (BISE)/WIRTSCHAFTSINFORMATIK. Papers should not exceed 50,000 characters including spaces, minus 5,000 characters per
page for illustrations. Detailed authors' guidelines can be downloaded from
**http://www.bise-journal.org**.

All papers will be reviewed anonymously (double-blind process) by several referees with regard to relevance, originality, and research quality. In
addition to the editors of the journal, including those of this special focus, distinguished national and international professionals with
scientific and practical backgrounds will be involved in the review process.


Schedule
========
* Paper submission deadline: 2013-11-1
* Author notification: 2014-1-10
* First revision due: 2014-2-28
* Second author notification: 2014-4-18
* Final revision due (one language): 2014-5-23
* Final revision due (second language): 2014-6-20

Special Issue Editors
===============
Vasant Dhar
Professor and Director, Center for Business Analytics
Stern School of Business
New York University, USA
New York, USA

Professor Dr. Matthias Jarke
Information Systems
RWTH Aachen University, Germany

Dr. Jürgen Laartz
McKinsey & Company*

-- 
Professor, Stern School of Business
Director, Center for Business Analytics
Twitter: Profdhar

"In theory there is no difference between theory and practice.
In practice there is."
Yogi Berra