Journal of business analytics

Business analytics research focuses on developing new insights and a holistic understanding of an organisation’s business environment to help make timely and accurate decisions, and to survive, innovate and grow. Thus, business analytics draws on the full spectrum of descriptive/diagnostic, predictive and prescriptive analytics in order to make better (i.e., data-driven and evidence-based) decisions to create business value in the broadest sense.

The mission of the Journal of Business Analytics Journal (JBA) is to serve the emerging and rapidly growing community of business analytics academics and practitioners.

We aim to publish articles that use real-world data and cases to tackle problem situations in a creative and innovative manner.

We solicit articles that address an interesting research problem, collect and/or repurpose multiple types of data sets, and develop and evaluate analytics methods and methodologies to help organisations apply business analytics in new and novel ways. Reports of research using qualitative or quantitative approaches are welcomed, as are interdisciplinary and mixed methods approaches.

Topics may include:
Applications of AI and machine learning methods in business analytics
Network science and social network applications for business
Social media analytics
Statistics and econometrics in business analytics
Use of novel data science techniques in business analytics
Robotics and autonomous vehicles
Methods and methodologies for business analytics development and deployment
Organisational factors in business analytics
Responsible use of business analytics and AI
Ethical and social implications of business analytics and AI
Bias and explainability in analytics and AI

Our editorial philosophy is to publish papers that contribute to theory and practice.
 

Journal of Business Analytics is indexed in:

• AIS eLibrary
• Australian Business Deans Council (ABDC) Journal Quality List
• British Library
• CLOCKSS
• Crossref
• Ei Compendex (Engineering Village)
• Google Scholar
• Microsoft Academic
• Portico
• SCImago
• Scopus
• Ulrich's Periodicals Directory

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