Journal of Business Analytics (JBA)

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.


Full papers are only accessible to paying members of the society.

Non-members who have registered with the website (eg as part of submitting an abstract, or booking a conference) do not have access to full JBA papers. 


The journal will be publishing solutions to business problems, developing innovative business analytics methods and methodologies, and 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 and techniques.

Topics may include:

  • Machine learning in business analytics

  • Statistics in business analytics

  • Econometrics in business analytics

  • Use of other types of data science techniques in business analytics, as long as they are evaluated rigorously using real-world datasets

  • Emerging areas of network science and large scale graph analysis for business problems

  • Emerging area of field experiments for business analytics


For journal download, citation, speed and acceptance metrics, click here.

Call for papers

Generative AI models: challenges and opportunities for business analytics

Closing Date: 30th September 2024