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Dear Colleague -
As you may already know, we are off to a great start with the
Journal of Business Analytics, an official journal of the
Operational Research Society. If you have not done so already,
please go to
https://www.tandfonline.com/toc/tjba20/current to
browse the latest papers, and while you are there, take a look at
Dr. Tom Davenport's most recent paper on business analytics and
AI, titled "From analytics to Artificial Intelligence."
Please consider the Journal of Business Analytics as a natural
outlet for your business analytics focused research manuscripts.
If you are interested in being a part of this exciting initiative
by serving on the editorial board, please do let us know.
The Journal of Business Analytics aims to publish manuscripts that
report on real solutions to complex real-world business problems
that involve real-world data along with innovative and creative
business analytics 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 data sets.
For any questions, comments, or suggestions, feel free to email
us.
Journal Editors:
Dr. Dursun Delen
(
dursun.delen@okstate.edu<mailto:dursun.delen@okstate.edu>)
Dr. Sudha Ram
(
ram@eller.arizona.edu<mailto:ram@eller.arizona.edu>)
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