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We are off to a great start with the Journal of Business
Analytics, an official journal of the Operational Research
Society. 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” at
https://www.tandfonline.com/doi/full/10.1080/2573234X.2018.1543535.
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 datasets.
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 let us know. For any
questions, comments, or suggestions, feel free to email us.
Editors:
Dr. Dursun Delen (
dursun.delen@okstate.edu)
Dr. Sudha Ram (
ram@eller.arizona.edu)
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