from DSSResources.comCall for papers MIS Quarterly Special Issue: Transformational Issues of Big Data and Analytics in Networked BusinessMinneapolis, MN, February 4, 2014 -- MIS Quarterly is seeking papers for a special issue on "Transformational Issues of Big Data and Analytics in Networked Business." The submission deadline is October 1, 2014. The guest editors include: 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); and J. Leon Zhao, City University of Hong Kong, China (jlzhao@cityu.edu.hk).
Motivation and OverviewIBM projects that every day we generate 2.5 quintillon bytes of data (IBM 2013). In relative terms, this means 90 percent of the data in the world has been created in the last two years. As the data piles up, managing and analyzing these information resources in the most optimal way become critical success factors in creating competitive advantage and strategic leverage.We view big data and big data analytics as the mother lode of disruptive change in a networked business environment. Our analytic processes and procedures must change. Our organizations must adapt. Our government and judicial systems must weigh and balance restraints on, or encouragement of, big data collection, analysis, and resulting decision making. No matter the area of application—marketing, product customization, health care, education, free or controlled markets, individual or national security—big data collection and analytics loom as the “Great Disrupters.” The presence and potential impact of big data continues to explode, increasing the need for basic and applied research across disciplines. We believe that IS should take leadership in this emerging field of research in an early stage as networked organizations are already struggling to find directions and strategies on big data investments. To advocate and structure new venues of research, researchers in Information Systems have begun to explore interesting and challenging topics in big data and analytics (Chen et al. 2012; Shmueli and Koppius 2011). 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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