-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] CFP: Special issue of Journal of Management Information Systems on Strategic Value of Big Data and Business Analytics Datum: Wed, 13 Apr 2016 12:40:49 -0400 Von: Dongsong Zhang zhangd@umbc.edu An: aisworld@lists.aisnet.org aisworld@lists.aisnet.org

Call for papers, Journal of Management Information Systems (JMIS)

Special issue on Strategic Value of Big Data and Business Analytics

Guest Co-editors (alphabetical order):

Roger H.L. Chiang, University of Cincinnati, USA, roger.chiang@uc.edu

Varun Grover, Clemson University, USA, vgrover@clemson.edu

Ting-Peng Liang, National Sun Yat-Sen University, Taiwan, tpliang@mail.nsysu.edu.tw

Dongsong Zhang, University of Maryland, Baltimore County, USA, zhangd@umbc.edu

Scope and Focus of the Special Issue

The rapid accumulation of data in different forms and from different sources has driven an increasing interest in big data and business analytics. Applications of various analytical tools have gained much attention in recent years. Businesses are exploring the possibility of uncovering hidden knowledge, improving decision making and supporting strategic planning from the big data. Although substantial resources have been invested in big data analytics and anecdotal evidence of success has been reported, there has been very little substantial research on the strategic contributions of big data analytics. The lingering question remains of whether big data analytics is a fad that will disappear in five years.

In addition to the 4 Vs (volume, velocity, variety, and veracity) characterization of big data, value has been recently considered as the fifth key dimension in big data analytics. Analysis of data without generating value offers no contribution to an organization, regardless of whether the data is big or small. Therefore, we need more IS research to examine how big data and business analytics create strategic value for organizations.

As managerial leadership in contemporary businesses thinks strategically about how an organization builds its core competencies and creates value, the ability to leverage big data and apply analytical solutions is crucial. Success of big data requires more than just infrastructure, knowledge of statistics or ways of dealing with big data. It also requires an understanding of *how* analytics translates to competitive advantage and strategic value. The effective translation of analytics to better business outcomes stems from business intent as well as execution that involves people, data, and tools. The challenge of deploying advanced data analytics to outperform competitors is real, and top-performing companies are more effective in every aspect of analytics, including capturing, collecting and storing the big data, as well as processing and drawing insights from it.

Following this line of thinking, this special issue focuses on *the strategic value of big data and business analytics*, including, but not limited to, the following issues:

● How can big data analytics help expand current lines of business product and service offerings?

● How can big data analytics improve strategic decision making?

● How can big data analytics help manage and mitigate financial and operating risks?

● How can big data analytics facilitate innovative business models?

● How can big data analytics create and sustain competitive advantage?

● How can we measure the strategic value of big data analytics?

● How to identify opportunities for creating business value from big data and business analytics?

● What are the mechanisms of value creation through big data analytics?

● How can we advance theories on big data and business analytics?

Submissions are expected to make significant and novel contributions to the field of MIS. Both empirical and design science research are welcome. All submissions must be original and not be published or under review elsewhere. All submission guidelines of JMIS must be met. Submitted papers will be blindly reviewed. Interested authors should send their submission to the following email address:JmisBigData@gmail.com.

Important Dates:

May 1, 2016: One-page abstract due

August 1, 2016: Full paper submission due

November 15, 2016: Notification of first round review

February 15, 2017: Revised manuscript due

June 15, 2017: Notification of second round review

September 1, 2017: Final manuscript due _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org