Business Analytics
Track moderators
Gordana Savić, Ph.D.
POSITIONS
Associate Professor
University of Belgrade – Faculty of Organizational Sciences
Department of Operations Research and Statistic
Zoran Radojičić, Ph.D.
POSITIONS
Full Professor
University of Belgrade – Faculty of Organizational Sciences
Department of Operations Research and Statistic
Description
Business analytics aims to develop a holistic approach to understanding organizational systems in order to support their survival, development, and growth. This proved to be particularly important in the post-COVID era, which brought significant changes in the business environment. Data analysis, modelling, and optimization support the decision-making process to create business value in the broadest context. In addition, various mathematical and statistical methods, and artificial and computational intelligence techniques aim to assist in forecasting, planning and managing of organizational systems.
We solicit papers that address interesting research problems and develop methods and approaches that help organizations apply business analytics. Interdisciplinary and mixed methods approaches are also welcome.
Key topics
- Descriptive, Predictive and Prescriptive Analytics
- Data Visualization
- Computational Intelligence
- Data Analytics
- Big Data Analytics
- Simulation Methods
- System Modelling
- Statistical Decision
- Cyber Analytics
- Social Media Analytics
- Statistical Process Control
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