[AISWorld] Journal of Management Analytics Special Issue on "Big Data Methods and Applications"

[Bin Gu]

Journal of Management Analytics Special Issue on "Big Data Methods and Applications" Call for Paper

Big Data has fundamentally changed the way in which the business collects, processes, analyzes, and disseminates information and supports decision making.  The volume, variety, velocity, and veracity of Big Data pose new challenges for both business practitioners and academic researchers. In particular, there is a gazing gap between the need for analytical expertise and the existing skills to understand and make decisions based on the analysis of big data.   Thus, this special issue calls for innovative and advanced research on big data analytical research methodology and new applications of such methods.
Topics of interest for the special issue include, but are not limited to:

  *   Innovative approaches for data collection (e.g., sensor-based wearable devices, location-based mobile devices) and data analysis (e.g., new econometrics, machine learning, decision science models) of Big Data.
  *   New methods to extract business intelligence from the structured and unstructured business data (e.g. data in the form of text, video, audio, link structure etc.)

  *   New methods for the creation, sharing and reuse of Big Data.
  *   Tools and technologies for deploying and managing Big Data

  *   New approaches to combine multiple research methods on Big Data.

  *   New methods introduced from reference disciplines (e.g. statistics, biology, medical science, computer science, physics, etc) for the business analysis of Big Data.
  *   New methods emerged from recent Big Data innovations in fields such as the healthcare, finance, entertainment, and smart businesses.

  *   New methods to ensure the security and privacy of Big Data
Important dates

·         Paper submission: March 15, 2015

·         First round notification: June 1, 2015

·         Invited Paper Workshop (preliminarily scheduled to be at Sweden): August 2015

·         Acceptance notification: November 1, 2015

·         Final papers: December 1, 2015
Financial Support
Partial funding for the presenting author to attend the workshop will be provided for papers selected after the first round review.

Submission Format and Guideline
All submitted papers must be clearly written in English and contain only original work, which has not been published by or is currently under review for any other journal. A detailed submission guideline is available at “Instructions for Authors” at http://www.tandfonline.com/action/authorSubmission?journalCode=tjma20&page=instructions and all papers should be submitted through  http://mc.manuscriptcentral.com/tjma

Guest Editors
Geda Adomavicius                            University of Minnesota
Bin Gu                                                Arizona State University
Pengzhu Zhang                                 Shanghai Jiaotong University
Eric Zheng                                         University of Texas at Dallas

Special Issue Editorial Board

Alan Abrahams                                 Virginia Tech
Michael Chau                                    Hong Kong University
Roger Chiang                                    University of Cincinnati
Paul Damien                                      University of Texas at Austin
Weiguo (Patrick) Fang                     Virginia Tech
Juan Feng                                          City University of HongKong
Gordon Gao                                      University of Maryland
Jeffrey Hu                                          Georgia Institute of Technology
Hongyan Liu                                     Tsinghua University
Gautam Pant                                     University of Iowa
Yunjie Xu                                          Fudan University
Qiang Ye                                            Harbin Institute of Technology
John Zhang                                        University of Connecticut
J. Leon Zhao                                      City University of Hong Kong
Rong Zheng                                       Hongkong University of Science and Technology

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Bin Gu
Co-Director, China DBA Program
Associate Professor
W. P. Carey School of Business
Department of Information Systems
Arizona State University
P. O. Box 874606
Tempe, AZ 85287-4606
p. 480.965.1870
e. Bin.Gu at asu.edu<mailto:Bin.Gu at asu.edu>
w. W P Carey Profile - Bin Gu<http://wpcarey.asu.edu/directory/people/profile.cfm?person=2246772>
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