Systemic Analytics
Systemic Analytics is an international peer-reviewed journal committed to fostering innovation and advancement in the field of Soft Operational Research, with a distinct emphasis on systems thinking and systemic analysis. The journal seeks to publish high-quality scientific papers that make a significant contribution to various facets of operational research, soft computing, and decision-making. Systemic Analytics champions the exploration of new theories, models, and applications across a spectrum of methodologies, including but not limited to: Soft Operational Research, Problem Structuring Methods, Large-Scale and Strategic Planning, System thinking, optimization methods, advanced algorithms, machine learning, Multi-Criteria Decision Making (MCDM), Artificial Intelligence (AI), simulation, systems dynamics, and econometric analysis.
Aims & scope
Systemic Analytics is an international, peer-reviewed journal dedicated to advancing Soft Operational Research with a focus on systems thinking and systemic analysis. The journal publishes high-quality scientific papers contributing to operational research, soft computing, and decision-making. Topics include Soft Operational Research, Problem Structuring Methods, Large-Scale and Strategic Planning, System Thinking, optimization methods, advanced algorithms, machine learning, Multi-Criteria Decision Making (MCDM), Artificial Intelligence (AI), simulation, systems dynamics, and econometric analysis.
Editor-in-Chief
Dragan Pamucar
University of Belgrade, Belgrade, Serbia
Editorial Contact
ISSN
3009-3732