Complexity And Management

What is complexity science? What is management? And how are the two linked? The potential of complexity science in the fields of management and organization studies has been explored before, yet there is little agreement on what complexity science truly is. Lissack and Rivkin, along with a panel of distinguished academics and executives, identify critical topics in the study of complexity science. They reveal complexity science to be a process, one seeking and understanding of the systems we inhabit, and ways of applying that understanding to the management of organizations. Complexity science is not a management fad, and the authors do not treat it as such. Instead, they offer useful and fascinating viewpoints on how work is managed in an age of business uncertainty, and how it can be more successfully managed with the aid of this rapidly evolving new field of science. Their multidisciplinary book combines systems theory, statistical modeling, and individual and organizational learning in an innovative new context. The volume takes a pragmatic approach: if it works, it's right. And complexity science, say the authors, work extremely well. This book is an important resource for upper level executives, specialists in organizational behavior, and their colleagues in the academic community.

The SAGE Handbook of Complexity and Management is the first substantive scholarly work to provide a map of the state of art research in the growing field emerging at the intersection of complexity science and management studies. Edited and written by internationally respected scholars from management and related disciplines, the Handbook will be the definitive reference source for understanding the implications of complexity science for management research and practice. Part One: Foundations introduces complexity science and its implications for the foundations of scientific knowledge, including management knowledge. Part Two: Applications presents the numerous ways in which complexity science models and tools, as well as complexity thinking, are being applied to management and organizational phenomena and the insights gained as a result. Part Three: Interfaces highlights how complexity science is transforming various non-management fields and, in so doing, creating exciting interfaces for bridging between management and related disciplines.

Product design is characterized by a steady increase in complexity. The main focus of this book is a structural approach on complexity management. This means, system structures are considered in order to address the challenge of complexity in all aspects of product design. Structures arise from the complex dependencies of system elements. Thus, the identification of system structures provides access to the understanding of system behavior in practical applications. The book presents a methodology that enables the analysis, control and optimization of complex structures, and the applicability of domain-spanning problems. The methodology allows significant improvements on handling system complexity by creating improved system understanding on the one hand and optimizing product design that is robust for system adaptations on the other hand. Developers can thereby enhance project coordination and improve communication between team members and as a result shorten development time. The practical application of the methodology is described by means of two detailed examples.

Providing a critique of the ways that complexity theory has been applied to understanding organizations, and outining a new direction, this book calls for a radical re-examination of management thinking.

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.

A fundamental problem of public sector governance relates to the very way of thinking it reflects; where organization is thought of as a ‘thing’, a system designed to deliver what its designers choose. This volume questions that way of thinking and takes a perspective in which organizations are complex responsive processes of relating between people. Bringing together the work of participants on the Doctor of Management program at Hertfordshire University, this book focuses on the move to marketization and managerialism, paying particular attention to human relationships and group dynamics. The contributors provide narrative accounts of their work addressing questions of management, pressures, accountability, responsiveness and traditional systems perspectives. In considering such questions in terms of their daily experience, they explore how the perspective of complex responsive processes assists them in making sense of experience and developing practice. Including an editors’ commentary which introduces and contextualizes these experiences as well as drawing out key themes for further research, this book will be of value to academics, students and practitioners looking for reflective accounts of real life experiences rather than further prescriptions of what organizational life ought to be.

The insights of complexity science can allow today’s managers to embrace the challenges and uncertainty of the twenty-first century, and successfully oversee organizational change and development. Elizabeth McMillan's book brings these ideas into perspective by: outlining the historical relationship between science and organizations reviewing current perspectives on organizational change and best practice citing real-life examples of the use of complexity science ideas discussing issues which may arise when using ideas from complexity. Written in an accessible style to bridge the gap from scientific theory to commercial applicability, this text shows how organizations can become more effective, democratic and sustainable through complexity science.

Michael Marti presents a complexity management model that is based on the reasoning that product architecture determines to a considerable extent how external complexity is translated into physical products. The model demonstrates a procedure to optimize a product’s architecture and is applied to several industrial products.