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It has been confirmed that the number of cases and the death toll of COVID-19 are continuing to rise in many countries around the globe. Governments around the world have been struggling with containing and reducing the socioeconomic impacts of COVID-19; however, their respective responses have not been consistent. Aggressive measures imposed by some governments have resulted in a complete lockdown that has disrupted all facets of life and poses massive health, social, and financial impacts. Other countries, however, are taking a more wait-and-see approach in an attempt to maintain business as usual. Collectively, these challenges reflect a super wicked problem that places immense pressure on economies and societies and requires the strategic management of health systems to avoid overwhelming them—this has been linked to the public mantra of ‘flattening the curve’, which acknowledges that while the pandemic cannot be stopped, its impact can be regulated so that the number of cases at any given time is not beyond the capacity of the health system. Dynamic simulation modelling is a framework that facilitates the understanding/exploring of complex problems, of searching for and finding the best option(s) from all practical solutions where time dynamics are essential. The papers in this book provide research insights into this super wicked problem and case studies exploring the interactions between social, economic, environmental, and health factors through the use of a systems approach.

Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- COVID-19 --- pandemic --- wicked problem --- systems approach --- leverage points --- Bayesian Networks --- system thinking --- mathematical epidemiology --- SIR-type model --- model parameter estimation --- non-pharmaceutical intervention --- dynamical systems --- COVID-19/SARS-CoV2 --- computational cognitive science --- semantic networks --- text mining --- social media mining --- emotions --- tour and traveling --- digitalization shift --- change readiness --- expanded TOPSIS --- UK --- vaccination --- immunity --- policy --- system dynamics --- modelling --- uncertainty --- branded content --- marketing --- total interpretive structural modelling --- decision-making Trial and Evaluation Laboratory --- causal loop diagram --- systems thinking --- network theory --- complexity economics --- economic crisis --- agent-based model --- information theory --- global value chains --- megaprojects --- housing markets --- economic networks --- n/a

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It has been confirmed that the number of cases and the death toll of COVID-19 are continuing to rise in many countries around the globe. Governments around the world have been struggling with containing and reducing the socioeconomic impacts of COVID-19; however, their respective responses have not been consistent. Aggressive measures imposed by some governments have resulted in a complete lockdown that has disrupted all facets of life and poses massive health, social, and financial impacts. Other countries, however, are taking a more wait-and-see approach in an attempt to maintain business as usual. Collectively, these challenges reflect a super wicked problem that places immense pressure on economies and societies and requires the strategic management of health systems to avoid overwhelming them—this has been linked to the public mantra of ‘flattening the curve’, which acknowledges that while the pandemic cannot be stopped, its impact can be regulated so that the number of cases at any given time is not beyond the capacity of the health system. Dynamic simulation modelling is a framework that facilitates the understanding/exploring of complex problems, of searching for and finding the best option(s) from all practical solutions where time dynamics are essential. The papers in this book provide research insights into this super wicked problem and case studies exploring the interactions between social, economic, environmental, and health factors through the use of a systems approach.

Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- COVID-19 --- pandemic --- wicked problem --- systems approach --- leverage points --- Bayesian Networks --- system thinking --- mathematical epidemiology --- SIR-type model --- model parameter estimation --- non-pharmaceutical intervention --- dynamical systems --- COVID-19/SARS-CoV2 --- computational cognitive science --- semantic networks --- text mining --- social media mining --- emotions --- tour and traveling --- digitalization shift --- change readiness --- expanded TOPSIS --- UK --- vaccination --- immunity --- policy --- system dynamics --- modelling --- uncertainty --- branded content --- marketing --- total interpretive structural modelling --- decision-making Trial and Evaluation Laboratory --- causal loop diagram --- systems thinking --- network theory --- complexity economics --- economic crisis --- agent-based model --- information theory --- global value chains --- megaprojects --- housing markets --- economic networks

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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.

systems philosophy --- heuristic systems principles --- scientific systems principles --- general systems principles --- specialized systems principles --- general systems theory --- GST --- sustainability --- systems thinking --- UN sustainable development goals --- mental models --- neoliberalism --- ecological economics --- isomorphic systems processes (ISPs) --- Monterey Phoenix (MP) --- behavior modeling --- emergent behavior --- cycles and cycling --- systems processes theory (SPT) --- family --- family system --- natural systems thinking --- Murray Bowen --- integrative theory --- competence --- maturity models --- worldview --- Worldview Inquiry Framework --- General Inquiry Framework --- system thinking --- systems approach --- capacity for systems thinking --- Myers Briggs Type Indicator (MBTI) personality type test --- concept map --- termbase --- systems perspective --- ontology of systems --- frontier research --- shadow IT --- IT integration --- IT integration drawbacks --- application integration --- path dependency --- path biography --- switching costs --- education for sustainable development --- teacher education --- systems education --- soft systems methodology (SSM) --- bibliometrics --- academic impact of SSM --- data visualization --- systems engineering --- healthcare system design --- clinical models --- socio-technical system --- model-based systems engineering

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The core belief underlying this book is that the most useful and effective models to strengthen our intelligence are system ones, developed following the logic of Systems Thinking. Such models can explore complexity, dynamics, and change, and it is the author’s view that intelligence depends on the ability to construct models of this nature. The book is designed to allow the reader not only to acquire simple information on Systems Thinking but above all to gradually learn the logic and techniques that make this way of thinking an instrument for the improvement of intelligence.  In order to aid the learning and practice of the Systems Thinking discipline, the author has abandoned a rigid formal language for a more discursive style. He writes in the first person, with an ample number of citations and critical analyses, and without ever giving in to the temptation to use formal mathematics.

Control system. --- System theory. --- System thinking. --- System theory --- Commerce --- Management --- Civil & Environmental Engineering --- Business & Economics --- Engineering & Applied Sciences --- Local Commerce --- Management Theory --- Operations Research --- System analysis. --- Systems, Theory of --- Systems science --- Network theory --- Systems analysis --- Business. --- Management science. --- Science. --- Pragmatism. --- School management and organization. --- School administration. --- Social sciences. --- Industrial psychology. --- Business and Management. --- Business and Management, general. --- Methodology of the Social Sciences. --- Administration, Organization and Leadership. --- Industrial, Organisational and Economic Psychology. --- Science, general. --- Business psychology --- Industrial psychology --- Psychotechnics --- Industrial engineering --- Personnel management --- Psychology, Applied --- Industrial psychologists --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Educational administration --- Inspection of schools --- School administration --- School inspection --- School operation policies --- School organization --- Schools --- Educational planning --- Idealism --- Knowledge, Theory of --- Philosophy --- Philosophy, Modern --- Positivism --- Realism --- Utilitarianism --- Experience --- Reality --- Truth --- Natural science --- Science of science --- Sciences --- Quantitative business analysis --- Problem solving --- Operations research --- Statistical decision --- Trade --- Economics --- Industrial management --- Inspection --- Management and organization --- Network analysis --- Network science --- Mathematical optimization --- Science --- Social sciences --- Applied psychology. --- Industrial and Organizational Psychology. --- Science, Humanities and Social Sciences, multidisciplinary. --- Methodology. --- Applied psychology --- Psychagogy --- Psychology, Practical --- Social psychotechnics --- Psychology --- Administration, Educational --- Operation policies, School --- Policies, School operation --- Education --- Organization