About: Human systems engineering is a research topic. Over the lifetime, 407 publications have been published within this topic receiving 11025 citations.
TL;DR: In this paper, a model of the learning organization that takes into account the real-life anxieties that are involved is presented. And the authors demonstrate what leadership means in an environment where complete control is not possible, explaining what self-organization means in human systems.
Abstract: This text seeks to demonstrate what leadership means in an environment where complete control is not possible. Explaining what self-organization means in human systems, it provides a model of the learning organization that takes into account the real-life anxieties that are involved.
TL;DR: The therapy system is called a problem-organizing, problem-dis-solving system distinguished by those who are "in language" about a problem, rather than by arbitrary and predetermined concepts of social organization.
Abstract: From our earliest practice of family therapy at medical schools, private family therapy institutes, and public agencies, our work with difficult populations that do not respond to current treatment technologies has reminded us of the inadequacies of our theoretical descriptions and the limitations of our expertise. This work has influenced our current, evolving clinical theory as we move from thinking of human systems as social systems defined by social organization (role and structure) to thinking of them as distinguished on the basis of linguistic and communicative markers. Hence, for us, the social unit we work with in therapy is a linguistic system distinguished by those who are "in language" about a problem, rather than by arbitrary and predetermined concepts of social organization. We call the therapy system a problem-organizing, problem-dis-solving system.
TL;DR: A comprehensive systems approach is essential for effective decision-making with regard to global sustainability, since industrial, social, and ecological systems are closely linked as discussed by the authors, recognizing that steady-state sustainability models are simplistic.
Abstract: A comprehensive systems approach is essential for effective decision making with regard to global sustainability, since industrial, social, and ecological systems are closely linked. Despite efforts to reduce unsustainability, global resource consumption continues to grow. There is an urgent need for a better understanding of the dynamic, adaptive behavior of complex systems and their resilience in the face of disruptions, recognizing that steady-state sustainability models are simplistic. However, assessing the broad impacts of policy and technology choices is a formidable challenge, as exemplified in life-cycle analysis of the implications of alternative energy and mobility technologies. A number of research groups are using dynamic modeling techniques, including biocomplexity, system dynamics, and thermodynamic analysis, to investigate the impacts on ecological and human systems of major shifts such as climate change and the associated policy and technology responses. These techniques can yield...
TL;DR: A review and assessment of potential solutions for overly simplified institutional prescriptions, referred to here as the "panacea problem" is presented in this article, where a common framework to diagnose the source, and possible amelioration, of poor outcomes for ecological and human systems enables a much finer understanding of these complex systems than has so far been obtained.
Abstract: Disturbances to key aspects of ecological systems, including biodiversity loss, climate change, pollution and natural resource degradation, have become a major concern to many policy analysts. Instead of learning from the study of biological complexity however, social scientists tend to recommend simple panaceas, particularly government or private ownership, as ‘the’ way to solve these problems. This paper reviews and assesses potential solutions for such overly simplified institutional prescriptions, referred to here as the ‘panacea problem’. In contrast to these simple prescriptions, recent research efforts are now illustrating the diversity of institutions around the world related to environmental conservation. The complexity of working institutions, however, presents a challenge to scholars who equate scientific knowledge with relatively simple models that predict optimal performance if specific institutional arrangements are in place. Dealing with this complexity has led to the development of frameworks as meta-theoretical tools. The institutional analysis and development (IAD) framework has been used over the last three decades as a foundation for a focused analysis of how institutions affect human incentives, actions and outcomes. Building on this foundation, the social-ecological systems (SES) framework has recently enabled researchers to begin the development of a common language that crosses social and ecological disciplines to analyse how interactions among a variety of factors affect outcomes. Such a framework may be able to facilitate a diagnostic approach that will help future analysts overcome the panacea problem. Using a common framework to diagnose the source, and possible amelioration, of poor outcomes for ecological and human systems enables a much finer understanding of these complex systems than has so far been obtained, and provides a basis for comparisons among many systems and ultimately more responsible policy prescriptions.
TL;DR: This work portrays these systems as Self-Organizing Holarchic Open (SOHO) systems and interpret their behaviours and structures with reference to non-equilibrium thermodynamics: holons, propensities and canons; and information and attractors.