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Managing Complexity: Insigh...
Each chapter in Managing Complexity focuses on analyzing real-world complex systems and transferring knowledge from the complex-systems sciences to applications in business, industry and society. The interdisciplinary contributions range from markets and production through logistics, traffic control, and critical infrastructures, up to network design, information systems, social conflicts and building consensus. They serve to raise readers' awareness concerning the often counter-intuitive behavior of complex systems and to help them integrate insights gained in complexity research into everyday planning, decision making, strategic optimization, and policy. Intended for a broad readership, the contributions have been kept largely non-technical and address a general, scientifically literate audience involved in corporate, academic, and public institutions
Monografía
monografia Rebiun16620776 https://catalogo.rebiun.org/rebiun/record/Rebiun16620776 cr nn 008mamaa 100301s2008 gw | s |||| 0|eng d 9783540752615 978-3-540-75261-5 10.1007/978-3-540-75261-5 doi UPNA0475574 UPVA 996889955703706 UPM 991005575954104212 UAM 991007698094304211 UCAR 991007918655104213 UMO 146710 KJT bicssc KJMD bicssc BUS049000 bisacsh 658.40301 23 Managing Complexity: Insights, Concepts, Applications Recurso electrónico-En línea] edited by D. Helbing Berlin, Heidelberg Springer Berlin Heidelberg 2008 Berlin, Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg IX, 393 p. online resource IX, 393 p. Understanding Complex Systems 1860-0832 Business and Economics (Springer-11643) Managing Complexity: An Introduction -- Managing Complexity: An Introduction -- Markets and Business -- Market Segmentation: The Network Approach -- Managing Autonomy and Control in Economic Systems -- Complexity and the Enterprise: The Illusion of Control -- Logistics and Production -- Benefits and Drawbacks of Simple Models for Complex Production Systems -- Logistics Networks: Coping with Nonlinearity and Complexity -- Repeated Auction Games and Learning Dynamics in Electronic Logistics Marketplaces: Complexity, Bounded Rationality, and Regulation through Information -- Traffic -- Decentralized Approaches to Adaptive Traffic Control -- Critical Infrastructures Vulnerability: The Highway Networks -- Critical Infrastructures and Systemic Risks -- Trade Credit Networks and Systemic Risk -- A Complex System\2019s View of Critical Infrastructures -- Information Systems -- Bootstrapping the Long Tail in Peer to Peer Systems -- Coping with Information Overload through Trust-Based Networks -- Confiict and Consensus -- Complexity in Human Conflict -- Fostering Consensus in Multidimensional Continuous Opinion Dynamics under Bounded Confidence -- Multi-Stakeholder Governance - Emergence and Transformational Potential of a New Political Paradigm -- Confiict and Consensus -- Evolutionary Engineering of Complex Functional Networks -- Path Length Scaling and Discrete Effects in Complex Networks Accesible sólo para usuarios de la UPV Recurso a texto completo Each chapter in Managing Complexity focuses on analyzing real-world complex systems and transferring knowledge from the complex-systems sciences to applications in business, industry and society. The interdisciplinary contributions range from markets and production through logistics, traffic control, and critical infrastructures, up to network design, information systems, social conflicts and building consensus. They serve to raise readers' awareness concerning the often counter-intuitive behavior of complex systems and to help them integrate insights gained in complexity research into everyday planning, decision making, strategic optimization, and policy. Intended for a broad readership, the contributions have been kept largely non-technical and address a general, scientifically literate audience involved in corporate, academic, and public institutions Reproducción electrónica Forma de acceso: Web Business Management Industrial management Operations research Decision making Information technology Business Data processing System theory Statistical physics Dynamical systems Complexity, Computational Business and Management Operation Research/Decision Theory Statistical Physics, Dynamical Systems and Complexity Innovation/Technology Management Complexity IT in Business Systems Theory, Control Helbing, D. editor SpringerLink (Online service) Springer eBooks Springer eBooks Printed edition 9783540752608 Understanding Complex Systems 1860-0832