STRATI Journal of Business Analytics and Decision Sciences

The Journal aims to:

• Promote rigorous scholarship in data-driven decision-making across diverse business contexts.
• Encourage the application of advanced analytical tools and modeling techniques to solve strategic, operational, and policy-related problems.
• Foster the integration of business analytics with emerging technologies such as AI, big data, blockchain, and IoT.
• Provide a forum for evaluating real-world case studies and best practices in analytics adoption and decision sciences.
• Bridge the gap between academic research and managerial application to improve organizational performance and competitiveness.

Scope includes (but is not limited to):

• Predictive, descriptive, and prescriptive analytics
• Operations research and optimization
• Decision support systems and modeling
• Artificial intelligence, machine learning, and deep learning in decision-making
• Business intelligence and visualization techniques
• Behavioral decision sciences
• Risk analytics and uncertainty modeling
• Data-driven strategic planning and policy formulation
• Applications of analytics in finance, marketing, supply chain, healthcare, energy, and sustainability

Detailed Themes

The journal invites contributions on (but not restricted to) the following themes:

1. Data-Driven Decision Making – frameworks, methodologies, and case studies in analytics-supported business choices.
2. Business Intelligence and Data Visualization – dashboards, visualization tools, and storytelling with data.
3. Predictive Analytics – forecasting models, time-series analysis, and machine learning applications.
4. Prescriptive Analytics – optimization techniques, simulation models, and decision rules.
5. Operations Research in Business – linear programming, stochastic models, and network analysis.
6. Risk and Uncertainty Modeling – probabilistic decision models and scenario analysis.
7. Artificial Intelligence in Decision Sciences – AI-assisted decision support, natural language processing, and cognitive computing.
8. Big Data Analytics – distributed data processing, cloud-based analytics, and real-time insights.
9. Behavioral Decision Sciences – cognitive biases, heuristics, and human judgment in decision processes.
10. Marketing Analytics – customer segmentation, sentiment analysis, and campaign optimization.
11. Financial Analytics – portfolio optimization, credit scoring, fraud detection, and algorithmic trading.
12. Supply Chain and Logistics Analytics – inventory optimization, demand forecasting, and routing algorithms.
13. Healthcare Analytics – patient outcome prediction, resource allocation, and hospital management systems.
14. Energy and Sustainability Analytics – renewable energy forecasting, carbon reduction modeling, and sustainable business practices.
15. Policy and Governance Analytics – evidence-based policy formulation, public sector analytics, and smart governance.
16. Decision Support Systems – design, evaluation, and implementation in business settings.
17. Text and Social Media Analytics – sentiment analysis, trend detection, and public opinion mining.
18. IoT and Real-Time Analytics – streaming data analytics and sensor-driven decision-making.
19. Ethics and Privacy in Business Analytics – responsible AI, data governance, and transparency in analytics.
20. Case Studies in Business Analytics – lessons learned from analytics adoption and integration in organizations.

Send your paper to Email: strat.institute@gmail.com