Handbook Of Research On Complexity

Presents a comprehensive overview of applications of complexity theory in economics from some of the leading figures in the field. This title includes chapters that cover such topic areas as conceptual issues, microeconomic market dynamics, aggregation and macroeconomics issues, and, evolutionary and ecological-environmental economics. This book provides a comprehensive and current overview of applications of complexity theory in economics from leading figures in the field. The fifteen chapters cover such broad topic areas as conceptual issues, microeconomic market dynamics, aggregation and macroeconomics issues, econophysics and financial markets, international economic dynamics, evolutionary and ecological-environmental economics, and, broader ideological and historical perspectives on economic complexity.

This comprehensive Handbook is aimed at both academic researchers and practitioners in the field of complexity science. The book’s 26 chapters, specially written by leading experts, provide in-depth coverage of research methods based on the sciences of complexity. The research methods presented are illustratively applied to practical cases and are readily accessible to researchers and decision makers alike.

The concept of “chaos”, and chaos theory, though it is a field of study specifically in the field of mathematics with applications in physics, engineering, economics, management, and education, has also recently taken root in the social sciences. As a method of analyzing the way in which the digital age has connected society more than ever, chaos and complexity theory serves as a tactic to tie world events and cope with the information overload that is associated with heightened social connectivity. The Handbook of Research on Chaos and Complexity Theory in the Social Sciences explores the theories of chaos and complexity as applied to a variety of disciplines including political science, organizational and management science, economics, and education. Presenting diverse research-based perspectives on mathematical patterns in the world system, this publication is an essential reference source for scholars, researchers, mathematicians, social theorists, and graduate-level students in a variety of disciplines.

This comprehensive and innovative Handbook applies the tools of the economics of complexity to analyse the causes and effects of technological and structural change. It grafts the intuitions of the economics of complexity into the tradition of analysis based upon the Schumpeterian and Marshallian legacies. The Handbook elaborates the notion of innovation as an emerging property of the organized complexity of an economic system, and provides the basic tools to understand the recursive dynamics between the emergence of innovation and the unfolding of organized complexity. In so doing, it highlights the role of organizational thinking in explaining the introduction of innovations and the dynamics of structural change. With a new methodological approach to the economics of technological change, this wide-ranging volume will become the standard reference for postgraduates, academics and practitioners in the fields of evolutionary economics, complexity economics and the economics of innovation.

Written by some of the founders of complexity theory and complexity theories of cities (CTC), this Handbook expertly guides the reader through over forty years of intertwined developments: the emergence of general theories of complex self-organized systems and the consequent emergence of CTC.

This comprehensive Handbook is aimed at both academic researchers and practitioners in the field of complexity science. The book's 26 chapters, specially written by leading experts, provide in-depth coverage of research methods based on the sciences of complexity. The research methods presented are illustratively applied to practical cases and are readily accessible to researchers and decision-makers alike. The Handbook''s wide range of research methods are clearly illustrated with case studies that demonstrate their practical application. They range from the regeneration of communities to musical performance; from complex governance networks to psychotherapy; from gender dynamics to agent-based modelling; and the appropriate response to pandemics. Some unusual research methods ? based on art, psychology and multi-level networks ? are also included. Furthermore, the book incorporates discussions on the philosophical aspect of research methods and explores important theoretical concepts, such as exaptation, emergence, self-organisation and co-evolution. This is an ideal resource for academics and researchers in the field seeking and exploring new research methods. For decision-makers and researchers trying to address complex challenges it will be an essential source of inspiration that will arm them with effective state-of-the-art research methods for the future. Contributors include: P. Allen, P. Andriani, S. Banerjee, Y. Bar-Yam, P. Beautement, C.R. Booth, J. Bromley, H.L. Brown, J. Burton, G. Carignani, B. Castellani, G.C. Crawford, C. Day, C.J. Dister, R. Durie, E.G. Eason, K.M. English, J. Fortune, M. Gabbay, J. Goldstein, J.K. Hazy, K. Hopkinson, N. Hupert, E.S. Ihara, H.J. Jensen, J. Johnson, D.G. Kelty-Stephen, W.G. Kennedy, L. Kuhn, B. Lichtenstein, C. Lundy, B. McKelvey, E. Mitleton-Kelly, S. Mockett, G. Morçöl, S. Mukherjee, S.K. Palit, A. Paraskevas, B. Pourbohloul, R. Rajaram, F.A. Razak, K.A. Richardson, J. Rowan Scott, Y. Shapiro, S. Kim, J. Stead, H. Stuteley, A. Tait, C.J. Tompkins, L. Varga, X. Wan, P.R. Wolenski, M.E. Wolf-Branigin, K. Wyatt

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.

This book provides practical guidance on research methods and designs that can be applied to Complex Dynamic Systems Theory (CDST) research. It discusses the contribution of CDST to the field of applied linguistics, examines what this perspective entails for research and introduces practical methods and templates, both qualitative and quantitative, for how applied linguistics researchers can design and conduct research using the CDST framework. Introduced in the book are methods ranging from those in widespread use in social complexity, to more familiar methods in use throughout applied linguistics. All are inherently suited to studying both dynamic change in context and interconnectedness. This accessible introduction to CDST research will equip readers with the knowledge to ensure compatibility between empirical research designs and the theoretical tenets of complexity. It will be of value to researchers working in the areas of applied linguistics, language pedagogy and educational linguistics and to scholars and professionals with an interest in second/foreign language acquisition and complexity theory.