Aims and scope

Systemic Analytics is an international, peer-reviewed journal devoted to the promotion and dissemination of original research in Soft Operational Research, systems thinking, and systemic analysis. Our aim is to bridge the gap between theory and practice, enhancing the body of knowledge in these areas and influencing the strategies and decisions of practitioners and researchers across various sectors. We encourage the exploration of innovative methodologies, advanced computational models, and novel applications that contribute to a deeper understanding of complex, real-world problems.

Systemic Analytics covers a comprehensive range of topics within Soft Operational Research, maintaining an equilibrium between theoretical and applied research. The areas covered include, but are not limited to:

• Soft Operational Research Approaches: This includes problem structuring methods (PSMs), cognitive mapping, strategic choice approach, soft systems methodology, and more. These methodologies focus on facilitating stakeholder engagement, consensus building, and complex problem solving in situations with high uncertainty or multiple perspectives.
• Systemic Thinking and Analysis: Exploration of systemic theories, methodologies, and tools that enable a more comprehensive understanding of complex systems.
• Advanced Computational Models and Algorithms: Investigation of modern computational techniques and algorithms in the realm of operational research, including mathematical modelling, machine learning, artificial intelligence, and others.
• Soft Computing Techniques: Papers focusing on the application of soft computing techniques, such as fuzzy set and its extensions, neural networks, genetic algorithms, and swarm intelligence, to enhance decision making and problem-solving in Soft OR.
• Multi-Criteria Decision Making (MCDM): Studies that introduce or apply MCDM methods in various contexts, reflecting the multi-dimensional nature of decision-making processes.
• Optimization Methods: Articles on the development and application of various optimization methods in the operational research context.
• Systems Dynamics and Simulation: Exploration of systems dynamics models and simulations to understand complex system behaviors and inform decision-making processes.
• Decision-Support Systems and AI: Papers discussing the development and application of AI-driven decision-support systems, including their impacts on management decisions.
• Rational Analysis for a Problematic World: Papers examining methods for rational analysis in problem-solving, particularly in complex and uncertain contexts.
• Participatory Methods: Studies examining the role of participatory methods in operational research, exploring how these approaches can facilitate stakeholder engagement and consensus building in complex problem-solving scenarios.
• New Theories for Simulation Tools in Complex Systems: Articles introducing or discussing new theories for simulation tools in managing and understanding complex systems.

We welcome original research papers, review articles, case studies, and overview papers from renowned researchers in these areas. We also encourage contributions that extend the conventional boundaries of operational research and systems thinking, fostering interdisciplinary dialogue and collaboration. All papers are subject to a rigorous, fair, and transparent peer-review process, ensuring the publication of high-quality, impactful work in the field.