-------- Original-Nachricht -------- Betreff: [AISWorld] CFP: MIS Quarterly Special Issue: Transformational Issues of Big Data and Analytics in Networked Business Datum: Mon, 03 Feb 2014 14:05:30 -0600 Von: Jan DeGross degro003@umn.edu An: aisworld@lists.aisnet.org
MIS Quarterly Special Issue: Transformational Issues of Big Data and Analytics in Networked Business
Guest Editors: Bart Baesens, KU Leuven, Belgium (Bart.Baesens@kuleuven.be) Ravi Bapna, University of Minnesota, U.S.A. (rbapna@umn.edu) James R. Marsden, University of Connecticut (jmarsden@business.uconn.edu) Jan Vanthienen, KU Leuven, Belgium (Jan.Vanthienen@kuleuven.be) J. Leon Zhao, City University of Hong Kong, China (jlzhao@cityu.edu.hk)
Submission deadline: October 1, 2014
We need to develop and enhance analytic methods appropriate for big data that challenge the current corporate infrastructure in terms of data volume, data variety, data change velocity and veracity. We need fundamental research on how big data and big data analytics are likely to impact management structures and processes, organizations, and society. From the firm perspective, key questions include optimal collection, management, integration, analysis and exploitation of big data. From the individual perspective, issues include privacy and ethical use as compared to benefits from personalization. From the government perspective, issues related to privacy, protection of individual rights, and national security all arise as big data collection and analytics expand.
What links the challenges together are the fundamental underlying questions on how IS techniques, processes, and controls can help address the various research issues. We organize the special issue not by perspectives, but by the following four key topic areas, each of which cuts across multiple perspectives, with the understanding that IS is at the heart of successfully addressing each issue:
• Area 1: Techniques, processes, and methods for collecting and analyzing big data • Area 2: Impact of big data availability and analytics on IS and information governance • Area 3: Privacy, rights, and security • Area 4: New applications
To view the full Call for Papers, go to the MIS Quarterly website at http://www.misq.org
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