[AISWorld] Introducing Journal of Business Analytics

[Ram, Sudha - (sram)]

We are delighted and excited to announce the launch of the Journal of Business Analytics<http://www.tandfonline.com/jba>, an official journal of the Operational Research Society<https://www.theorsociety.com/>. This is the same society that publishes reputable journals like EJIS <http://www.theorsociety.com/Pages/Publications/EJIS_submit.aspx> and JORS<http://www.theorsociety.com/Pages/Publications/JORS_submit.aspx>, among others. You are recognized as an expert in the fields of business analytics. With this email, we the co-editors of this journal are inviting you to submit one of your best analytics works for the consideration in the inaugural issue of the journal, which is scheduled to be released in June 2018.


Aims and Scopes



The mission of the Journal of Business Analytics <http://www.tandfonline.com/action/journalInformation?show=editorialBoard&journalCode=tjba20&> is to serve the emerging and rapidly growing community of business analytics both in academia and industry. The journal aims to do this by publishing solutions to business problems, developing innovative business analytics methods and methodologies, and by using real-world data to show the how the problems in business analytics can be solved.



Contributions can include addressing an important problem in a new and innovative way, repurposing existing heterogeneous data, and/or developing and demonstrating the use of new analytics tools, techniques, methods and methodologies. A representative list of topic areas includes:

  *   AI, Deep Learning, and machine learning in business analytics
  *   Statistical approaches in business analytics
  *   Econometrics in business analytics
  *   Emerging areas of network science and large scale graph analysis for business problems
  *   Field Experiments and  Field studies combining prediction and prescriptive analyses
  *   Integrating Statistical and  machine learning for  business analytics
  *   Data quality issues and innovative solutions
  *   Innovative business analytics development methodologies
  *   Organizational and behavioral aspects of business analytics
  *   Use of other types of data science techniques in business analytics, as long as they are evaluated rigorously using real-world datasets


Our editorial philosophy is to publish papers that contribute to theory and practice. Once your paper has been assessed for suitability by the editor, it will then be peer-reviewed by independent, expert referees. You can find more information on our editorial policies at Instructions for Authors page<http://www.tandfonline.com/action/authorSubmission?journalCode=tjba20&page=instructions>.

For questions, comment, and suggestions, please feel free to contact the Editors:
Dr. Sudha Ram (ram at eller.arizona.edu<mailto:ram at eller.arizona.edu>)
Dr. Dursun Delen (dursun.delen at okstate.edu<mailto:dursun.delen at okstate.edu>)


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Dr. Sudha Ram
Anheuser-Busch Endowed Chair of MIS, Entrepreneurship & Innovation
Director, INSITE Center for Business Intelligence & Analytics
Department of MIS
Eller College of Management
430J McClelland Hall
University of Arizona
Tucson, AZ 85721
Phone: (520)-621-2748/4113
Email: ram at eller.arizona.edu<mailto:ram at eller.arizona.edu>
URL: https://mis.eller.arizona.edu/people/sudha-ram
INSITE Center: www.insiteua.org<http://www.insiteua.org/>
Twitter: @sudharam
LinkedIn: www.linkedin.com/in/SudhaRam<http://www.linkedin.com/in/SudhaRam>
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