Journal of Business Analytics

IMPACT
FACTOR
1.7

Journals Detail

Journal: Journal of Business Analytics

Online ISSN: 2573-2358

Print ISSN: 2573-234X

Publisher Name: Taylor & Francis

Starting Year: 2018

Website URL: https://www.tandfonline.com/journals/tjba20

Country: United Kingdom

Email: onlinesupport@tandfonline.com

Research Discipline Business

Frequency: Semi‑annual

Research Language: English

About Journal:

Aims and scope
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 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 value in the broadest sense.

The mission of the Journal of Business Analytics (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 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. The journal also welcomes creative applications of analytics to solve challenging problems, not only in the private sector but also in the public and third sector.

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.

Scroll to Top