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Emerging business models, value configurations, and information technologies interact over time to create competitive advantage. Modern information technology has to be studied, understood, and applied along the time dimension of months and years, where changes are the rule. Such changes created by interactions between business elements and resources are very well suited for system dynamics modeling. Business Dynamics in Information Technology presents business-technology alignment processes, business-technology interaction processes, and business-technology decision processes, serving the purpose of helping the reader study information technology from a dynamic, rather than a static, perspective. By introducing two simple tools from system dynamic modeling - causal loops and reference modes - the dynamic perspective will become important to both students and practitioners in the future.
This book aims to present an information-theoretical approach to thermodynamics and its generalisations. On the one hand, it generalises the concept of `information thermodynamics' to that of `information dynamics' in order to stress applications outside thermal phenomena. On the other hand, it is a synthesis of the dynamics of state change and the theory of complexity, which provide a common framework to treat both physical and nonphysical systems together. Both classical and quantum systems are discussed, and two appendices are included to explain principal definitions and some important aspects of the theory of Hilbert spaces and operator algebras. The concept of higher-order temperatures is explained and applied to biological and linguistic systems. The theory of open systems is presented in a new, much more general form. Audience: This volume is intended mainly for theoretical and mathematical physicists, but also for mathematicians, experimental physicists, physical chemists, theoretical biologists, communication engineers, and all those interested in entropy and open systems. It can also be recommended as a supplementary text.
This book is designed for professionals and students in software engineering or information technology who are interested in understanding the dynamics of software development in order to assess and optimize their own process strategies. It explains how simulation of interrelated technical and social factors can provide a means for organizations to vastly improve their processes. It is structured for readers to approach the subject from different perspectives, and includes descriptive summaries of the best research and applications.
The nature of distributed computation in complex systems has often been described in terms of memory, communication and processing. This thesis presents a complete information-theoretic framework to quantify these operations on information (i.e. information storage, transfer and modification), and in particular their dynamics in space and time. The framework is applied to cellular automata, and delivers important insights into the fundamental nature of distributed computation and the dynamics of complex systems (e.g. that gliders are dominant information transfer agents). Applications to several important network models, including random Boolean networks, suggest that the capability for information storage and coherent transfer are maximised near the critical regime in certain order-chaos phase transitions. Further applications to study and design information structure in the contexts of computational neuroscience and guided self-organisation underline the practical utility of the techniques presented here.
Today’s leading authority on the subject of this text is the author, MIT Standish Professor of Management and Director of the System Dynamics Group, John D. Sterman. Sterman’s objective is to explain, in a true textbook format, what system dynamics is, and how it can be successfully applied to solve business and organizational problems. System dynamics is both a currently utilized approach to organizational problem solving at the professional level, and a field of study in business, engineering, and social and physical sciences.
This book covers the broad spectrum of system dynamics methodologies for the modelling and simulation of complex systems: systems thinking, causal diagrams, systems structure of stock and flow diagrams, parameter estimation and tests for confidence building in system dynamics models. It includes a comprehensive review of model validation and policy design and provides a practical presentation of system dynamics modelling. It also offers numerous worked-out examples and case studies in diverse fields using STELLA and VENSIM. The system dynamics methodologies presented here can be applied to nearly all areas of research and planning, and the simulations provided make the complicated issues more easily understandable. System Dynamics: Modelling and Simulation is an essential system dynamics and systems engineering textbook for undergraduate and graduate courses. It also offers an excellent reference guide for managers in industry and policy planners who wish to use modelling and simulation to manage complex systems more effectively, as well as researchers in the fields of modelling and simulation-based systems thinking.
Models of Science Dynamics aims to capture the structure and evolution of science, the emerging arena in which scholars, science and the communication of science become themselves the basic objects of research. In order to capture the essence of phenomena as diverse as the structure of co-authorship networks or the evolution of citation diffusion patterns, such models can be represented by conceptual models based on historical and ethnographic observations, mathematical descriptions of measurable phenomena, or computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and a comprehensive study of the topic. This volume fills this gap, reviewing and describing major threads in the mathematical modeling of science dynamics for a wider academic and professional audience. The model classes presented cover stochastic and statistical models, system-dynamics approaches, agent-based simulations, population-dynamics models, and complex-network models. The book comprises an introduction and a foundational chapter that defines and operationalizes terminology used in the study of science, as well as a review chapter that discusses the history of mathematical approaches to modeling science from an algorithmic-historiography perspective. It concludes with a survey of remaining challenges for future science models and their relevance for science and science policy.
Complex systems are pervasive in many areas of science. With the increasing requirement for high levels of system performance, complex systems has become an important area of research due to its role in many industries. Advances in System Dynamics and Control provides emerging research on the applications in the field of control and analysis for complex systems, with a special emphasis on how to solve various control design and observer design problems, nonlinear systems, interconnected systems, and singular systems. Featuring coverage on a broad range of topics, such as adaptive control, artificial neural network, and synchronization, this book is an important resource for engineers, professionals, and researchers interested in applying new computational and mathematical tools for solving the complicated problems of mathematical modeling, simulation, and control.
This volume consitutes a summary of several years' multi-disciplinary research by a group of Swedish researchers. The project 'Sweden's Technological Systems and Future Development Potential' was initiated by the Swedish National Board for Industrial and Technical Development (NUTEK) and has been carried out at the Department of Industrial Management and Economics at Chalmers University of Technology in Gothenburg, the Research Policy Institute at the University of Lund, the Industrial Institute for Economic and Social Research (lUI) in Stockholm, and the Department of Industrial Economics and Management at the Royal Insitute of Technology, Stockholm, under the direction of Bo Carlsson, Case Western Reserve University, Cleveland, Ohio. The project group decided early on to focus fIrst on the technological system for factory automation - a relatively mature system of great importance to Swedish industry and in which Sweden has reached a leading position internationally - and then to shift the attention to other systems in various stages of development and with varying Swedish strength. The work on factory automation resulted in numerous papers and publications, summarized in a volume published in 1995 (Technological Systems and Economic Performance: The Case of Factory Automation, ed. Bo Carlsson. Dordrecht.
What shapes the role of Information and Communication Technologies in our everyday life? Despite the speed with which information and communication technologies such as the PC, mobile telephone and internet have found their way into society, there remains a good deal of debate surrounding their adoption and use. Through empirical studies covering a broad range of everyday life and work settings, this volume provides grounded insights into the social dynamics influencing how ICTs are both shaped and experienced. Specifically, the book examines the contributions of diverse disciplines to our understanding of these processes, the symbolic nature of technologies, the influence of design on the experience of ICTs, the role of users in influencing that design, the social constraints affecting the use of those technologies, and strategies for evaluating the social consequences of ICT innovations.