Complexity And Knowledge Management

'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.

It seems as if attempts to use knowledge to understand and manage social networks are everywhere. Millions, if not billions, of dollars are being spent in an attempt to derail terrorist networks, with much of it being invested in making sense of massive data streams. There is growing concern that much of this money is being squandered on approaches that will never deliver on their promises. Our armed forces are being prepared to combat terrorist threats by the introduction of “network centric approaches” and “digital battlefields” – basically attempts to provide warfighters with a complete picture of the battlespace. However, the experience of practitioners suggests that the “data smog” this creates is actually counterproductive. From the arena of politics, the recent invigorating battle between senators Clinton and Obama has thrown the spotlight on the deficiencies in political polling (Economist, 2008b). Changes in the structure of the situation (e.g. high turnouts) have thrown the whole industry into chaos. Complexity is being discounted and the results are stark. The conclusion formed in the media was that the situation was wildly unpredictable (so anyone’s to win), and ended up having real consequences for the Democratic challenger in November 2008 (Baldwin, 2008). Turning to business, we find that Société Générale recently lost $7.2bn as the result of a single rogue trader making a series of bogus transactions amid turbulent markets in 2007 and 2008. There has been much speculation on what was known, when it was known, and who knew it. In other words, we have speculation that this is an example of the role of knowledge in the mismanagement of social networks – with spectacular effect. At a glance, the problems highlighted above seem positively overwhelming. Where do you start? But start we must. Simple “cause and effect” thinking doesn’t seem to be able to cut the mustard. There is broad agreement that even if the Kyoto targets were fully met, on schedule, by 2100 it would only delay the warming of the planet by six years (Parry et al., 1998). We need to utilize knowledge in new ways…or maybe uncover insights from old ways. It is hard to think of something more worthy of attention that the role of knowledge in the management of complex systems. In Volume 4 of the Managing the Complex Series we have brought together seventeen essays from authors around the globe to explore the complex systems view of knowledge and its role in social networks. Contributors explore such topics as: the limitations to our knowledge of complex systems, the transfer of knowledge from local to global levels, collaborative knowledge generation, decision making in complex multi-stakeholder situations, organizational learning and innovation, all through the lens of the emerging field of complexity science. The editors hope that this volume will give theorists further avenues to explore in their attempts to understand knowledge creation, maintenance and distribution, and also provide practitioners with new tools to apply in the complex and messy real world.

"In this book Haridimos Tsoukas examines the nature of knowledge in organizations, and how individuals and scholars approach the concept of knowledge"--Provided by publisher.

Knowledge Management, Organizational Intelligence and Learning, and Complexity is the component of Encyclopedia of Technology, Information, and Systems Management Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. The Theme on Knowledge Management, Organizational Intelligence and Learning, and Complexity in the Encyclopedia of Technology, Information, and Systems Management Resources provides the latest scientific insights into the evolution of complexity in both the natural and social realms. Emerging perspectives from the fields of knowledge management, computer-based simulation and the organizational sciences are presented as tools for understanding and supporting this evolving complexity and the earth's life support systems. These three volumes are aimed at the following a wide spectrum of audiences from the merely curious to those seeking in-depth knowledge: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.

Knowledge Management, Organizational Intelligence and Learning, and Complexity is the component of Encyclopedia of Technology, Information, and Systems Management Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. The Theme on Knowledge Management, Organizational Intelligence and Learning, and Complexity in the Encyclopedia of Technology, Information, and Systems Management Resources provides the latest scientific insights into the evolution of complexity in both the natural and social realms. Emerging perspectives from the fields of knowledge management, computer-based simulation and the organizational sciences are presented as tools for understanding and supporting this evolving complexity and the earth's life support systems. These three volumes are aimed at the following a wide spectrum of audiences from the merely curious to those seeking in-depth knowledge: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.

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.

Knowledge Management, Organizational Intelligence and Learning, and Complexity is the component of Encyclopedia of Technology, Information, and Systems Management Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. The Theme on Knowledge Management, Organizational Intelligence and Learning, and Complexity in the Encyclopedia of Technology, Information, and Systems Management Resources provides the latest scientific insights into the evolution of complexity in both the natural and social realms. Emerging perspectives from the fields of knowledge management, computer-based simulation and the organizational sciences are presented as tools for understanding and supporting this evolving complexity and the earth's life support systems. These three volumes are aimed at the following a wide spectrum of audiences from the merely curious to those seeking in-depth knowledge: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.

Complexity theories gained prominence in the 1990s with a focus on self-organising and complex adaptive systems. Since then, complexity theory has become one of the fastest growing topics in both the natural and social sciences, and touted as a revolutionary way of understanding the behaviour of complex systems. This book uses complexity theory to surface and challenge the deeply held cultural assumptions that shape how we think about reality and knowledge. In doing so it shows how our traditional approaches to generating and applying knowledge may be paradoxically exacerbating some of the ‘wicked’ environmental problems we are currently facing. The author proposes an innovative and compelling argument for rejecting old constructs of knowledge transfer, adaptive management and adaptive capacity. The book also presents a distinctively coherent and comprehensive synthesis of cognition, learning, knowledge and organizing from a complexity perspective. It concludes with a reconceptualization of the problem of knowledge transfer from a complexity perspective, proposing the concept of creative capacity as an alternative to adaptive capacity as a measure of resilience in socio-ecological systems. Although written from an environmental management perspective, it is relevant to the broader natural sciences and to a range of other disciplines, including knowledge management, organizational learning, organizational management, and the philosophy of science.