A Meta‐Framework for Organizing Transversal Knowledge About Systems
Abstract
ABSTRACT Systems science presents a rich but fragmented landscape of theories, principles and practices. To address challenges of coherence, comparability and integration, this paper proposes a meta‐framework for organizing transversal system knowledge. Grounded in relational theory and structured through the philosophical dimensions of fit, form and function, the framework aligns ontological, epistemological and axiological perspectives. Drawing on information physics, general systems theory and the concept of the relational holon, a matrix is developed linking core elements of science, ideas, frameworks, principles, assets and societal engagement to key philosophical categories. This matrix enables the classification and comparison of systemic knowledge across disciplines, promoting clarity, integration and critical reflection. The proposed framework aims to support the development of systems science by providing a coherent foundation for research, education and practice. It highlights knowledge gaps, reconciles conceptual tensions and enables synthesis across diverse approaches. Whereas this paper focuses on organizing knowledge about systems, future work will extend the framework to support systemic engagement and action.
Fields of Study & Subjects
Complex Systems and Decision Making
Systems Engineering Methodologies and Applications
Information Systems Theories and Implementation
Publication details
- Journal / source
- Systems Research and Behavioral Science
- Publisher
- Wiley
- Volume
- 43
- Issue
- 2
- Pages
- 399–410
- Publication date
- 1 March 2026
- Language
- EN