Making Sense of Intellectual Capital

Routledge
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Peter Drucker has introduced us all to the knowledge era, where knowledge is the primary resource and intangibles (intellectual capital resources and assets) are now largely recognized as the most important sources of organizations' competitive advantage. With the recognition of the importance of Intangibles comes the problem of how to properly identify them and assign them a value within the corporation. This is an area of concern in 5 fields: 1) accounting and financial reporting, 2) performance measurement and management, 3) valuation in the finance field, 4) the Human Resources field in terms of management, strategy, and planning, and 5) Intellectual Capital. Over the past eight years, over 25 methods have been proposed for the valuation of intangibles coming out of these 5 fields.

In this book, Andriessen evaluates 25 existing methods of intangible valuation according to highly developed criteria. In performing his evaluations, Andriessen synthesizes the state of the art research from these fields based on extensive research. He then presents his own method for valuing intangibles, which he began developing and testing as a Senior Manager at KPMG Knowledge Advisory Services in The Netherlands. He relates six case studies in which this method was tested in actual companies, carefully reviews the results of his tests, and then concludes by offering a new and improved method for valuing intangibles in his Weightless Wealth Toolkit, a complete step-by-step process for identifying, valuing, and managing Intangibles to help managers operate successfully in the Intangible Economy.
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Additional Information

Publisher
Routledge
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Published on
Feb 18, 2004
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Pages
456
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ISBN
9781136386602
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Best For
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Language
English
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Genres
Business & Economics / Finance / General
Business & Economics / General
Business & Economics / Knowledge Capital
Business & Economics / Management
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Content Protection
This content is DRM protected.
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Eligible for Family Library

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A new, thoroughly updated edition of a comprehensive overview of knowledge management (KM), covering theoretical foundations, the KM process, tools, and professions.

The ability to manage knowledge has become increasingly important in today's knowledge economy. Knowledge is considered a valuable commodity, embedded in products and in the tacit knowledge of highly mobile individual employees. Knowledge management (KM) represents a deliberate and systematic approach to cultivating and sharing an organization's knowledge base. This textbook and professional reference offers a comprehensive overview of the field. Drawing on ideas, tools, and techniques from such disciplines as sociology, cognitive science, organizational behavior, and information science, it describes KM theory and practice at the individual, community, and organizational levels. Chapters cover such topics as tacit and explicit knowledge, theoretical modeling of KM, the KM cycle from knowledge capture to knowledge use, KM tools, KM assessment, and KM professionals.

This third edition has been completely revised and updated to reflect advances in the dynamic and emerging field of KM. The specific changes include extended treatment of tacit knowledge; integration of such newer technologies as social media, visualization, mobile technologies, and crowdsourcing; a new chapter on knowledge continuity, with key criteria for identifying knowledge at risk; material on how to identify, document, validate, share, and implement lessons learned and best practices; the addition of new categories of KM jobs; and a new emphasis on the role of KM in innovation. Supplementary materials for instructors are available online.

Perspectives on Intellectual Capital bridges the disciplinary gaps and facilitates knowledge transfer across disciplines, featuring views on intellectual capital from the fields of accounting, strategy, marketing, human resource management, operations management, information systems, and economics. It also offers interdisciplinary views on intellectual capital from the perspectives of public policy, knowledge management and epistemology. By analyzing the various perspectives, Editor Bernard Marr is able to present a truly comprehensive understanding of what intellectual capital is, including the "state of the art" thinking about it in each discipline, the common key trends, and the trajectories for future developments, learning, and practice.

Contributors include many of the leading thinkers in their respective disciplines: Mie Augier and David Teece on the Economic Perspective, Bernard Marr and Goran Roos on the Strategy Perspective, Baruch Lev, Leandro Canibano, and Bernard Marr on the Accounting Perspective; Sudi Sudarsanam, Ghulam Sorwar, and Bernard Marr on the Finance Perspective; Jan Mourtisen, Per Nikolaj Bukh, and Bernard Marr on the Reporting Perspective; Lisa Fernstrom on the Marketing Perspective; Ulf Johanson on the HR Perspective; L. Martin Clotier and E. Richard Gold on the Legal Perspective; Partick H. Sullivan on the Intellectual Property Perspective; Giovanni Schiuma, Antonio Lerro, and Daniela Carlucci on the Interfirm Perspective; Ahmed Bounfour and Leif Edvinsson on the Public Policy Perspective; J-C Spender and Bernard Marr on a Knowledge-Based Perspective; Goran Roos on An Epistemology Perpsective. Foreword by Robert Grant.

Bernard Marr is a Research Fellow in the Centre for Business Performance at Cranfield School of Management, UK, and Visiting Professor, University of Basilicata, Italy.
Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers.

After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you’ll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success.

Provides practical guidelines for building successful BI, DW and data integration solutions. Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language.Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses Describes best practices and pragmatic approaches so readers can put them into action. Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources.
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