Special Issue on 

Business Analytics and Decision Intelligence

Business Analytics and Decision Intelligence focuses on the integration of data-driven analytical methods with intelligent decision-making frameworks to support strategic, tactical, and operational choices in modern organizations. This theme explores advanced techniques such as predictive modeling, machine learning, optimization algorithms, and real-time analytics to uncover actionable insights, enhance business performance, and improve decision quality across various sectors. By combining quantitative analysis, digital technologies, and cognitive decision processes, this topic aims to advance intelligent systems that help organizations navigate complexity, manage uncertainty, and drive sustainable growth in an increasingly data-centric world.

In this special issue, we intend to invite front-line researchers and authors to submit original research and review articles on exploring Business Analytics and Decision Intelligence. Potential topics include, but are not limited to:

• Customer analytics
• Data mining
• Decision support systems
• Descriptive analytics
• Financial forecasting
• Machine learning applications
• Marketing intelligence
• Optimization strategies
• Performance measurement
• Predictive modeling
• Prescriptive analytics
• Process mining
• Real-time analytics
• Risk assessment
• Strategic decision modeling
• Supply chain optimization

Authors should read over the journal’s For Authors carefully before submission. Prospective authors should submit an electronic copy of their complete manuscript through the journal’s Paper Submission System.

Please kindly specify the “Special Issue” under your manuscript title. The research

field “Special Issue - Business Analytics and Decision Intelligence” should be selected during your submission.

Special Issue Timetable:

Guest Editor:

Dr. Qingyang Wu

University of California, USA

For further questions or inquiries, please contact Editorial Assistant at

[email protected].