CONTENTS -- Notes on the Contributors -- Preface -- Structure of the Book -- Guide to Reading -- Introduction -- Complexity Theory and the Management of Networks Pierpaolo Andriani and Giuseppina Passiante -- 1 The network society -- 2 Complexity and the network society -- 3 Modelling -- 4 Leadership -- 5 Complexity and the future of the firm -- References -- Part 1: Complexity Theory -- A Framework for Understanding Complex Systems Paul Cilliers -- 1 Characteristics of complex systems -- 2 Models -- 3 Ethics and complexity -- References -- BizSim: The World of Business - In a Box John L. Casti -- 1 The Computer as a Laboratory -- 2 Booms and Busts, Bubbles and Crashes -- 3 Insurance World -- 4 SimStore -- 5 Simulation is Good for Business -- References -- Part 2: Management and Leadership in the Network Economy -- "Simple Rules" for Improving Corporate IQ: Basic Lessons from Complexity Science Bill McKelvey -- 1 Introduction -- 2 Intelligence as constrained order -- 3 Distributed intelligence -- 4 Complexity theory -- 5 "Simple rules" for managing networks -- 6 Conclusion -- References -- Exploring New Business Innovation Leadership Paradigms Aldo Romano -- References -- New Economy, Complexity and Management Enzo Badalotti -- 1 Introduction -- 2 Management as creation of the possible -- References -- Complexity Science on Coevolving Business with Rapid Change Susanne Kelly -- 1 Introduction -- 2 The new economy -- 3 Embracing change -- 4 Leading in uncertainty -- 5 Cognition and choice -- 6 Preferences and patterns -- 7 Emotions in learning and decision-making -- 8 The machine metaphor versus living systems -- 9 Group culture, habits and preferences -- 10 Group learning -- 11 Summary -- A Complexity and Darwinian Approach to Management with Failure Avoidance as the Key Tool Ron Willis -- 1 Introduction -- 2 Entropy and Complexity -- 3 Evolution.

Natural Selection -- Sexual Selection -- Limits to Evolution -- Evolution and Complexity -- 4 The Business Attractors -- Overview -- The Success Attractor -- 5 Management by Failure Avoidance -- Overview -- Complexity Escalator -- Scientific Management -- Chaos Management -- Complexity Management -- Entropic Decay -- Risk Management -- Management Team -- Summary -- 6 Conclusions -- References -- Treasury Operations in a Multi-National Oil Company: Dialogue on the Methodology of Using Natural Experiments in Complex Evolving Systems Eve Mitleton-Kelly and Marcus Speh Birkenkrahe -- Acknowledgments -- An Incubator of Business Innovation Leadership: The eBMS Experiment Giuseppina Passiante -- 1 Introduction -- 2 The eBMS core strategy and value network -- 2.1 Core strategy -- 2.2 Value network -- 3 The eBMS strategic resources -- 3.1 Core processes -- 3.2 Core competencies -- 3.3 Strategic assets -- 4 The eBMS user interface -- 5 The eBMS organizational model -- 6 The value metrics of the eBMS experiment -- 6.1 Competences and skills level -- 6.2 eBusiness Pilot Projects -- 6.3 On-line Communities models and architectures -- 6.4 New Business Models -- 7 Towards a conclusion: the follow-up of the experiment -- References -- The "Virtualness" Strategy of the e-Business Management School Valerio Elia -- 1 Introduction -- 2 The eBMS community enabled by the virtualness strategy -- 3 Benchmarking survey of some top Business Schools -- Technological learning environment -- User interface -- Some examples of user's support are: -- 4 The rationale of the virtualness strategy of the eBMS -- The knowledge management on-line services -- The e-learning services -- 5 The Virtual eBMS system design -- The architectural model of the Virtual eBMS -- 6 Conclusions -- References -- Part 3: The Management of Networks -- Complexity in The Next Economy Robin Wood.

A Post Industrial Network Organisation Richard Hall -- 1 Introduction -- 2 Theoretical considerations -- 3 "The limited life product specific joint venture" (L.L.P.S.J.V.) scenario -- 3.1 FinanciaUStructural Characteristics -- 3.2 Operational Characteristics -- 4 A knowledge management rationale -- 5 Conclusion -- References -- Careers, Communities, and Complexity Theory Michael B. Arthur, Robert J. DeFillippi and Valerie J. Lindsay -- 1 Careers, communities, and complexity theory -- 2 Contrasting views of the links among careers, communities, companies and industry clusters -- 3 Three industry examples -- 4 Careers as three "ways of knowing" -- 5 Links to community engagement and industry evolution -- 6 Links to complexity theory -- 7 Conclusion: careers and complex systems -- References -- Developing New Products by Community of Developers in the Wireless Industry Chris Russell -- Introduction -- Business Drivers -- MADIC Process -- MADIC Partnerships -- MADIC Strategies -- Network Economics -- Challenges for MADIC -- Business Case -- Differentiation vs. Marginalisation -- Lock-in versus Openness -- Conclusions -- References.