Contents 11. 2. 2. Four Main Areas of Dispute 247 11. 2. 3. Summary . . . 248 11. 3. Making Sense of the Issues . . 248 11. 3. 1. Introduction . . . . 248 11. 3. 2. The Scientific Approach 248 11. 3. 3. Science and Matters of Society . 249 11. 3. 4. Summary . 251 11. 4. Tying It All Together . . . . 251 11. 4. 1. Introduction . . . . 251 11. 4. 2. A Unifying Framework 251 11. 4. 3. Critical Systems Thinking 253 11. 4. 4. Summary 254 11. 5. Conclusion 254 Questions . . . 255 REFERENCES . . . . . . . . . . . . . . . . . . . 257 INDEX . . . . . . . . . . . . . . . . . . . . . . 267 Chapter One SYSTEMS Origin and Evolution, Terms and Concepts 1. 1. INTRODUCTION We start this book with Theme A (see Figure P. I in the Preface), which aims to develop an essential and fundamental understanding of systems science. So, what is systems science? When asked to explain what systems science is all about, many systems scientists are confronted with a rather daunting task. The discipline tends to be presented and understood in a fragmented way and very few people hold an overview understanding of the subject matter, while also having sufficient in-depth competence in many and broad-ranging subject areas where the ideas are used. Indeed, it was precisely this difficulty that identified the need for a comprehensive well-documented account such as is presented here in Dealing with Complexity.

Managing Complexity is the first book that clearly defines the concept of Complexity, explains how Complexity can be measured and tuned, and describes the seven key features of Complex Systems: ConnectivityAutonomyEmergencyNonequilibriumNon-linearitySelf-organisationCo-evolution The thesis of the book is that complexity of the environment in which we work and live offers new opportunities and that the best strategy for surviving and prospering under conditions of complexity is to develop adaptability to perpetually changing conditions. An effective method for designing adaptability into business processes using multi-agent technology is presented and illustrated by several extensive examples, including adaptive, real-time scheduling of taxis, see-going tankers, road transport, supply chains, railway trains, production processes and swarms of small space satellites. Additional case studies include adaptive servicing of the International Space Station; adaptive processing of design changes of large structures such as wings of the largest airliner in the world; dynamic data mining, knowledge discovery and distributed semantic processing. Finally, the book provides a foretaste of the next generation of complex issues, notably, The Internet of Things, Smart Cities, Digital Enterprises and Smart Logistics.

New tools for managing complexity Does your organization manage complexity by making things more complicated? If so, you are not alone. According to The Boston Consulting Group’s fascinating Complexity Index, business complexity has increased sixfold during the past sixty years. And, all the while, organizational complicatedness—that is, the number of structures, processes, committees, decision-making forums, and systems—has increased by a whopping factor of thirty-five. In their attempt to respond to the increasingly complex performance requirements they face, company leaders have created an organizational labyrinth that makes it more and more difficult to improve productivity and to pursue innovation. It also disengages and demotivates the workforce. Clearly it’s time for leaders to stop trying to manage complexity with their traditional tools and instead better leverage employees' intelligence. This book shows you how and explains the implications for designing and leading organizations. The way to manage complexity, the authors argue, is neither with the hard solutions of another era nor with the soft solutions—such as team building and feel-good “people initiatives”—that often follow in their wake. Based on social sciences (notably economics, game theory, and organizational sociology) and The Boston Consulting Group’s work with more than five hundred companies in more than forty countries and in various industries, authors Yves Morieux and Peter Tollman recommend six simple rules to manage complexity without getting complicated. Showing why the rules work and how to put them into practice, Morieux and Tollman give managers a much-needed tool to reinvigorate people in the face of seemingly endless complexity. Included are detailed examples from companies that have achieved a multiplicative effect on performance by using them. It’s time to manage complexity better. Employ these six simple rules to foster autonomy and cooperation and to effectively handle business complexity. As a result, you will improve productivity, innovate more, reengage your workforce, and seize opportunities to create competitive advantage.

Recognizing that complexity calls for innovative, conceptual, and methodological solutions, Dealing with Complexity in Development Evaluation by Michael Bamberger, Jos Vaessen, and Estelle Raimondo offers practical guidance to policymakers, managers, and evaluation practitioners on how to design and implement complexity-responsive evaluations that can be undertaken in the real world of time, budget, data, and political constraints. Introductory chapters present comprehensive, non-technical overviews of the most common evaluation tools and methodologies, and additional content addresses more cutting-edge material. The book also includes six case study chapters to illustrate examples of various evaluation contexts from around the world.

The essays and lectures collected in this book center around knowledge transfer from the complex-system sciences to applications in business, industry and society, as viewed from a broad perspective. The contributions aim to raise awareness across the spectrum to meet the increasing need to integrate lessons from complexity research into everyday planning, decision making, logistics or optimization procedures and forecasting. The writing has been largely kept non-technical.

This book delivers new IMD insights on an emerging challenge - how to deal with overwhelming complexity. Global organizations face a complex decision-making environment. On one side, diversity of cultures, customers, competitors and regulations creates complexity; on the other, competitive pressures cause expanding countries to extract more synergies across products and regions. In such a climate, a new way of thinking, acting and organizing is needed beyond the familiar ‘control’ mindset. Drawing together insights from across the expert faculty, Managing Complexity in the Global Organization presents IMD’s framework on how to understand complexity and its four key drivers (diversity; interdependence; ambiguity and flux), along with solutions on specific issues in a variety of functions, industries and markets. The focus is on providing practical solutions based on real-life examples.

Based on policy makers’ limitations in solving real-life problems and the fact that information is rarely available in a pure quantitative form, enhancements and new approaches to remedy this are proposed by Mark Hürlimann. He introduces simple and more sophisticated static and dynamic methods to analyze complex topics. In addition a semi-quantitative approach is presented that integrates quantitative and qualitative variables in a feedback system. The author, finally, illustrates on the basis of a case study the advantages and limitations of the various approaches in a didactically sound and easily understandable way.

Organizational complexity is an unavoidable aspect of all businesses, even larger ones, which can hinder their ability to react to sudden or disruptive change. However, with the implementation of enterprise architecture (EA), businesses are able to provide their leaders with the resources needed to address any arising challenges. A Systemic Perspective to Managing Complexity with Enterprise Architecture highlights the current advances in utilizing enterprise architecture for managing organizational complexity. By demonstrating the value and usefulness of EA, this book serves as a reference for business leaders, managers, engineers, enterprise architects, and many others interested in new research and approaches to business complexity.

This book is about complexity in Information Systems (IS). The subject is addressed from both conceptual and applied perspectives. Concepts are drawn from information theory, industrial design and software engineering. Its content capitalizes on experiences gathered by the authors during various contracting jobs involving software architecture, modeling and IS architecture that were conducted for large organizations in the banking and industry sectors, as well as in the public sector. The authors develop the point of view according to which mastering complexity involves two essential steps: first, one should develop a clear understanding of the real nature of complexity within the IS; second, one should identify the primary causes which contribute to its uncontrolled growth and organize these into a logical framework, in order to define efficient countermeasures. Both technical and psychological causes of complexity are to be considered. Two themes make up the main thread of the book: complexity and value. Both themes are quite common when considered separately, but their interplay remains a largely unexplored topic. The analysis of this interplay is one of the sources of originality of this book.