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This fascinating book argues for a new way of looking at the world and at human systems, companies or (Western) society as a whole. Well-researched and well-argued, this book skilfully guides the reader through a complex and interesting subject.
Combining insights from the new science of complexity with insights from psychoanalysis, Stacey posits that repressing the anxiety caused by the unstable, ever-changing nature of today's business world also represses the creative impulses - the "spaces for novelty" - that allow members of a workforce to produce their best work. Using the science of complexity as a starting point, he pulls together many insights into behavior and organizational functioning that currently lie at the edges of research and practice. This book invites people to explore what the new science might mean for understanding life in organizations, and shows how it can be used as a framework for understanding the processes that produce emergence rather than intentional strategies. Stacey presents an entirely new perspective on what it means for an organization to learn.
The past decade has seen increasing focus on the importance of information and knowledge in economic and social processes, the so-called 'knowledge economy'. This is reflected in the popularity amongst practicing managers and organizational theorists of notions of learning, sense-making, knowledge creation, knowledge management and intellectual capital in organizations and more recently, of emotional intelligence as an important management skill. This insightful book: argues that the information processing view of knowledge creation held by systems thinkers is no longer tenable develops the alternative perspective of Complex Responsive Processes of relating, drawing on the complexity sciences as a source for analogies with human action places self-organizing interaction at the centre of the knowledge creating process in organizations. Learning and knowledge creation are seen as qualitative processes of power relating that are emotional as well as intellectual, creative as well as destructive, enabling as well as constraining, and the result is a radical questioning of the belief that organizational knowledge is essentially codified and centralized. Instead, organizational knowledge is understood to be in the relationships between people in an organization and has to do with the qualities of those relationships.
The long-awaited update for work and organizations in the knowledge age
Knowledge management (KM) is a set of relatively-new organizational activities that are aimed at improving knowledge, knowledge-related practices, organizational behaviors and decisions and organizational performance. KM focuses on knowledge processes—knowledge creation, acquisition, refinement, storage, transfer, sharing and utilization. These processes support organizational processes involving innovation, individual learning, collective learning and collaborative decision-making. The “intermediate outcomes” of KM are improved organizational behaviors, decisions, products, services, processes and relationships that enable the organization to improve its overall performance. Knowledge Management and Organizational Learning presents some 20 papers organized into five sections covering basic concepts of knowledge management; knowledge management issues; knowledge management applications; measurement and evaluation of knowledge management and organizational learning; and organizational learning.
This book moves forward the agenda significantly. It enables educational leadership and management discourse to be informed by the latest views that are becoming well established in business and organisational literature in practice.
The Industrial Revolution provided many tools that have made our current way of life possible. With over 100 years of success, they became the assumed, natural, "correct" ways to make change happen. For all of the benefits those tools offer, they are no longer sufficient to address today's complex systems and organizations. There are too many variables; too many changes happening too quickly; too much change -- to believe every issue can be deconstructed, decomposed, analyzed, prioritized, and the "one best, guaranteed way" implemented to address all of that complexity. We believe an additional set of concepts and tools is required to make sense of this complexity. We've named them the "Complexity Space Framework" and believe it offers a new lens for teams and organizations looking to survive and prosper in a complex world."
Focusing on the essential uncertainty of participating in evolving events as they happen, this book considers the creative possibilities of such participation from a complexity perspective.
'The New Knowledge Management' is the story of the birth of "second-generation knowledge management," told from the perspective of one its chief architects, Mark W. McElroy. Unlike its first-generation cousin, second-generation Knowledge Management seeks to enhance knowledge production, not just knowledge sharing. As a result, 'The New Knowledge Management' expands the overall reach of knowledge management to include "innovation management" for the very first time. 'The New Knowledge Management' introduces the concept of "second-generation knowledge management" to the business community. Mark W. McElroy has assembled a collection of his own essays, written over the past four years, chronicling the development of related thinking in the field. Unlike first-generation KM, mainly focusing on value derived from knowledge sharing, second-generation thinking formally adds knowledge making to the scope of KM. In this way second-generation KM expands the overall reach of KM to include "innovation management" for the very first time. 'The New Knowledge Management' finally begins to bridge the gap between KM and the field of organizational learning, which up until now have been viewed as miles apart.
"The emphasis on change at many levels of organization is critically important as is the first attempt to integrate sophisticated theory and research in organization psychology (e.g., Gersick, Hackman) with social psychological models of development such as Moreland and Levine." --Reuben M. Baron, Emeritus, University of Connecticut "Arrow, McGrath, and Berdahl′s ′Small Groups as Complex Systems′ will change the way you think about groups, the way you think about research, and even the way you think about science." --Donelson R. Forsyth, Psychology, Virginia Commonwealth U "The book is excellent, one of those very rare works that will have substantial impact on the field. I would use the book without hesitation in any advanced graduate seminar dealing with groups." --Donelson R. Forsyth, Psychology, Virginia Commonwealth U "A conceptually elegant analysis of groups as systems. Although the systems approach has been growing more influential in various fields of social psychology in the last ten years, no one has put forward a definitive analysis that applies with fidelity the general systems approach to group processes. McGrath and his colleagues fill that gap, not by paying lip service to popular scientific concepts such as recursive causality, open systems, attractors, and complexity theory, but by fully integrating these concepts into their no-nonsense analysis of such group level processes as formation, task performance, composition, development, and termination. Empirical work is folded into the theoretical mix along the way, but the focus is unrelentingly conceptual with the result that the authors deliver on their promise of developing a powerful, unified theory of group dynamics." --Donelson R. Forsyth, Psychology, Virginia Commonwealth U "Theirs is an ambitious book. They have profound ramifications for experimental social psychology. It is worth mentioning that AMD (Arrow, McGrarth, and Berdahl) list an ethnographic approach, which often implies the adoption of hermeneutic and semiotic methods (a hallmark of the anti-Enlightenment tradition in psychology), as a possible way forward." --Yoshihisa Kashima, American Journal of Psychology What are groups? How do they behave? Arrow, McGrath, and Berdahl answer these questions by developing a general theory of small groups as complex systems. Basing their theory on concepts distilled from general systems theory, dynamical systems theory, and complexity and chaos theory, they explore groups as adaptive, dynamic systems that are driven by interactions among group members as well as between the group and its embedding contexts. In addition, they consider not only the group′s members and their distribution of attributes, but also the group′s tasks and technology in order to understand how those members, tasks, and tools are intertwined, coordinated, and adjusted. Throughout the book, the authors focus our attention on relationships among people, tools, and tasks that are activated by a combination of individual and collective purposes and goals that change and evolve as the group interacts over time.