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A comprehensive theoretical and practical guide to the operating principles of knowledge auditing, illustrated with numerous case studies. A knowledge audit provides an “at a glance” view of an organization's needs and opportunities. Its purpose is to improve an organization's effectiveness through a better understanding of the dynamics and levers of knowledge production, access, and use. However, this developing field is hampered by the lack of a common language about the origins and nature of knowledge auditing. In Principles of Knowledge Auditing, Patrick Lambe integrates the theory and practices of the field, laying out principles and guidelines for a clearer and more pragmatic approach to knowledge auditing that makes it more accessible to practitioners and researchers. Lambe examines knowledge auditing in the context of the development of communications, information, and knowledge management in the twentieth century. He critiques and clarifies ambiguities in how knowledge audits are approached and described, as well as how the results are conveyed within organizations. He discusses the benefits and risks of knowledge management standards. Knowledge auditors, he says, need a common frame of reference more than they need standards. Standards have their uses, but they provide only markers and sign posts and are poor representations of the richness of the landscape. He concludes with a set of guiding principles for practitioners.
With the rising importance of knowledge as a primary factor in global industries, it is increasingly necessary for knowledge management professionals to understand, engage with, and speak the language of investments and auditing. This exciting guide helps knowledge management professionals educate themselves on these topics.
This book constitutes the thoroughly refereed post-workshop proceedings of the 2008 Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, held in Hanoi, Vietnam, in December 2008 as part of 10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008. The 20 revised papers presented were carefully reviewed and selected from 57 submissions and went through two rounds of reviewing and improvement. The papers are organized in topical sections on machine learning and data mining, incremental knowledge acquisition, web-based techniques and applications, as well as domain specific knowledge acquisition methods and applications.
This book constitutes the refereed proceedings of the Second International Conference on Knowledge Science, Engineering and Management, KSEM 2007, held in Melbourne, Australia, in November 2007. The 42 revised full papers and 28 revised short papers presented together with five invited talks were carefully reviewed and selected. The papers provide new ideas and report research results in the broad areas of knowledge science, knowledge engineering, and knowledge management.
This book is open access under a CC BY-NC 3.0 IGO license. This book comprehensively covers topics in knowledge management and competence in strategy development, management techniques, collaboration mechanisms, knowledge sharing and learning, as well as knowledge capture and storage. Presented in accessible “chunks,” it includes more than 120 topics that are essential to high-performance organizations. The extensive use of quotes by respected experts juxtaposed with relevant research to counterpoint or lend weight to key concepts; “cheat sheets” that simplify access and reference to individual articles; as well as the grouping of many of these topics under recurrent themes make this book unique. In addition, it provides scalable tried-and-tested tools, method and approaches for improved organizational effectiveness. The research included is particularly useful to knowledge workers engaged in executive leadership; research, analysis and advice; and corporate management and administration. It is a valuable resource for those working in the public, private and third sectors, both in industrialized and developing countries.
Introduces public management students and government and nonprofit administrators to the practices of Knowledge Management. This book focuses on knowledge management techniques in government agencies, and it covers such concepts as collecting, categorizing, processing, distributing, and archiving critical organization data and information.
As the most comprehensive reference work dealing with knowledge management (KM), this work, consisting of 2 volumes, is essential for the library of every KM practitioner, researcher, and educator. Written by an international array of KM luminaries, its approx. 60 chapters approach knowledge management from a wide variety of perspectives ranging from classic foundations to cutting-edge thought, informative to provocative, theoretical to practical, historical to futuristic, human to technological, and operational to strategic. Novices and experts alike will refer to the authoritative and stimulating content again and again for years to come.
The Fraunhofer Competence Center Knowledge Management presents in this second edition its up-dated and extended research results. In doing so it describes best practices in knowledge management from leading companies and shows how to integrate such activities into the daily business tasks and processes, how to motivate people and which capabilities and skills are required. It concludes with an overview of the leading knowledge management projects in several European countries.
With the rising importance of knowledge as a primary factor in global industries, it is increasingly necessary for knowledge management professionals to understand, engage with, and speak the language of investments and auditing. This exciting guide helps knowledge management professionals educate themselves on these topics.