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. This is the same society that publishes reputable journals like EJIS and JORS, among others. The mission of the Journal of Business Analytics 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 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 both the 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.
For questions, comment, and suggestions, please feel free to contact the Editors:
Dr. Dursun Delen (dursun.delen@okstate.edu)
Dr. Sudha Ram (ram@eller.arizona.edu)