Journal of Business Analytics
Published by Taylor & Francis
ISSN : 2573-234X eISSN : 2573-2358
Abbreviation : J. Bus. Anal.
Aims & 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 analyt-ics • 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
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 1.6 |
| 2024 | 1.70 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.382 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q2 |
h-index
| Year | Value |
|---|---|
| 2024 | 12 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 14232 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 122 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Business, Management and Accounting, Computer Science, Decision Sciences and Engineering, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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A survey of image labelling for computer vision applications
Citation: 65
Authors: Christoph, Christian, Patrick
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Balancing privacy rights and surveillance analytics: a decision process guide
Citation: 23
Authors: Daniel J., Ciara, Yvonne
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Business analytics capability, organisational value and competitive advantage
Citation: 21
Authors: Michael, Anthony
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Data ownership revisited: clarifying data accountabilities in times of big data and analytics
Citation: 21
Authors: Martin, Christine
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Beyond solving the last mile problem: the substitution effects of bike-sharing on a ride-sharing platform
Citation: 20
Authors: Juan, Stephanie, Xiangbin, Yong
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Detecting temporal workarounds in business processes – A deep-learning-based method for analysing event log data
Citation: 19
Authors: Sven, Verena, Tobias, Daniel, Martin