2013/09/01 by Andreas Hieronymi · 3 citations
Computer Science · Decision Sciences · #Chaos, Complexity, and Education #Cognitive Science and Mapping #Complex Systems and Decision Making
paper · doi:10.1002/sres.2215
openalex publication_date 2013/09/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
Systems thinking is considered a much‐needed competence to deal better with an increasingly interlinked and complex world. The many streams within systems science have diversified perspectives, theories and methods, but have also complicated the field as a whole. This makes it difficult to understand and master the field. Short introductions to fundamental questions of systems science are rare. This paper is divided into three parts and aims to do the following: (1) to provide a broad overview of the structure and purpose of systems science; (2) to present a set of key systems principles and relate them to theoretical streams; and (3) to describe aspects of systems‐oriented methodologies within a general process cycle. Integrative visualizations have been included to highlight the relationships between concepts, perspectives and systems thinkers. Several new attempts have been made to define and organize system concepts and streams in order to provide greater overall coherence and easier understanding. © 2013 The Author. Systems Research and Behavioral Science published by John Wiley & Sons, Ltd.