About the Journal

Journal of Business Analytics and Data Science (JBADS) is a peer-reviewed academic journal founded in 2025, dedicated to advancing research at the intersection of business analytics, data science, and artificial intelligence. JBADS publishes rigorous and original studies that develop, evaluate, and apply analytical methods to generate actionable insights and support timely, evidence-based decision-making in organisations.

Scope and Topics

Topics include, but are not limited to:

  • Business intelligence and decision support systems
  • Business analytics: descriptive/diagnostic, predictive, and prescriptive analytics
  • Artificial intelligence, machine learning, and deep learning in business and economics
  • Data mining, pattern discovery, clustering, and classification
  • Statistics, econometrics, and causal inference (business & economics)
  • Time-series analysis, forecasting, nowcasting, and scenario analysis
  • Microeconometrics, panel data methods, and applied econometric modelling
  • Macroeconomic analytics: inflation, growth, labour markets, monetary and fiscal policy analysis
  • Financial econometrics, asset pricing analytics, risk and volatility modelling
  • Policy evaluation, impact assessment, and evidence-based policy analytics
  • Optimisation, operations research, simulation, and decision analytics
  • Performance optimisation, scalability, and efficient computing for analytics
  • Data engineering, data quality, data integration, and data governance
  • Data visualisation, dashboards, and data storytelling
  • Text mining, NLP, and information extraction for business and economics
  • Social media, news, and alternative data analytics
  • Network science, graph analytics, connectedness, spillovers, and systemic risk
  • Reproducible analytics, MLOps, and model lifecycle management
  • Responsible analytics and AI: privacy, security, bias, fairness, explainability, and ethics
  • Sustainability analytics, ESG/Climate analytics, and impact measurement
  • Health services and healthcare organisations management: strategic management, planning, healthcare marketing, healthcare financing, operations/production management, quality management, and human resources management in healthcare institutions
  • Health policy and planning analytics, health economics (including cost-effectiveness and HTA), and evidence-based health policy evaluation
  • Public health and epidemiology with data-driven methods: surveillance, risk modelling, forecasting, and causal inference in population health
  • Health law, governance, and regulatory frameworks shaping healthcare delivery, compliance, privacy, and data use
  • Health management information systems (HMIS), health informatics, digital health, and data-driven healthcare decision support