Cognitive Work Analysis (CWA) is a structured framework specifically developed for considering the development and analysis of complex socio-technical systems. Cognitive Work Analysis: Coping with Complexity contains a comprehensive description of CWA, introducing it to the uninitiated. It then presents a number of applications in complex military domains to explore the benefits of CWA and pays particular attention to investigating the CWA framework in its entirety.

In this book I develop a theory of complexity for economics and manage ment sciences. This book is addressed to the mathematically or analytically oriented economist, psychologist or management scientist. It could also be of interest to engineers, computer scientists, biologists, physicists and ecologists who have a constant desire to go beyond the bounds of their respective disciplines. The unifying theme is: we live in a complex world, but how can we cope with complexity? If the book has made the reader curious, and if he looks at modelling, problem recognition and problem solving within his field of competence in a more "complex" way, it will have achieved its goal. The starting point is the recognition that complexity is a well-defined concept in mathematics (e.g. in topological dynamics), computer science, information theory and artificial intelligence. But it is a rather diffuse concept in other fields, sometimes it has only descriptive value or even worse, it is only used in a colloquial sense. The systematic investigation of complexity phenomena has reached a mature status within computer science. Indices of computer size, capacity and performance root ultimately in John von Neumann's paradigmatic model of a machine, though other 1 roots point to McCulloch and Pitts, not to forget Alan Turing. Offsprings of this development include: -complexity of formal systems and recursiveness; -cellular automata and the theory of self-reproducing machines; -theory of program or computational complexity; -theory of sequential machines; -problem solving, cognitive science, pattern recognition and decision processes.

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.

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.

This study applies the findings of the new nonlinear sciences to understanding the processes of growing complexity and intensifying chaos in the modern world. It also identifies and reviews approaches for living and coping with these trends. Uri Merry seeks to clarify the role of chaos in the transformation of the social sciences to new orders by re-examining and re-evaluating some of the basic tenets of modern social and behavioral science in light of theories of chaos, self-organization, and complexity. Divided into three sections, the work provides an overview of the major findings of the new science of chaos; analyzes why chaos is on the upsurge and why human society is experiencing such anxiety about it; and surveys some of the major approaches for dealing with chaos in society, organizations, and our personal lives.

Historical chapters show how understanding the workings of complex systems allowed statesmen to devise the Concert of Europe and how the collapse of the Concert in the Crimean War was triggered by the tsar's failure to comprehend the indirect impact his strategies would have on British public opinion. Another chapter highlights the feedback processes between domestic politics and the international monetary system that led to the rise and fall of the gold standard and to the creation of the European monetary system. The diplomacy of the Moroccan crisis of 1905 is used to show that conventional wisdom places unwarranted weight on a state's reputation for standing firm in the interconnected international system. The discussions also explore the systemic causes of World War II: Contributors examine how the international financial system unwittingly helped destroy Weimar democracy and offer a challenging reinterpretation of the workings of the balance of power in the 1930s.

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.