Systems Thinking

• Format: eBook
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: History of engineering and technology; academic impact of SSM; application integration; behavior modeling; bibliometrics; capacity for systems thinking; clinical models; competence; concept map; cycles and cycling; data visualization; ecological economics; education for sustainable development; emergent behavior; family; family system; frontier research; General Inquiry Framework; general systems principles; general systems theory; GST; healthcare system design; heuristic systems principles; integrative theory; isomorphic systems processes (ISPs); IT integration; IT integration drawbacks; maturity models; mental models; model-based systems engineering; Monterey Phoenix (MP); Murray Bowen; Myers Briggs Type Indicator (MBTI) personality type test; natural systems thinking; neoliberalism; ontology of systems; path biography; path dependency; scientific systems principles; shadow IT; socio-technical system; soft systems methodology (SSM); specialized systems principles; sustainability; switching costs; system thinking; systems approach; systems education; systems engineering; systems perspective; systems philosophy; systems processes theory (SPT); systems thinking; teacher education; termbase; UN sustainable development goals; worldview; Worldview Inquiry Framework
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication

 This Systems Thinking Special Issue contains 12 papers on the nature of systems thinking as it applies to systems engineering, systems science, system dynamics, and related fields. Systems thinking can be broadly considered the activity of thinking applied in a systems context, forming a basis for fundamental approaches to several systems disciplines, including systems engineering, systems science, and system dynamics. Although these are somewhat distinct fields, they are bound by common approaches in regard to systems. Whereas systems engineering seeks to apply a multidisciplinary, holistic approach to the development of systems, systems science seeks to understand the basics related to systems of all kinds, from natural to man-made, and system dynamics seeks to understand system structures in order to influence its dynamics. Man-made systems have become more ubiquitous and complex. The study of systems, both natural and engineered, presents new challenges and opportunities to understand emergent, dynamic behaviors that inform the process of sense-making based on systems thinking.