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Citation, recommendation, and adoption
The Nov. 9, 1999 issue of Fortune (circulation 762,700) cites the book in discussing knowledge products: "... Take what you know about strategy for ordinary, tangible products, and map that onto what you can learn about the knowledge products you produce and sell. In a forthcoming book, Richard Wang, Co-director for MIT's Total Data Quality Management Program, offers four principles for managing information products: Understand consumers' information needs; create a well-defined production process; stay on top of the life cycle of information products; and appoint product managers. Those principles apply to all kinds of knowledge products; applying them can help you build a strong pillar for an Information Age business."
The Feb. 1, 1999 issue of Computerworld (circulation 170,000) recommends this book as one of five when looking for books to navigate corporate waters as well as E-commerce seas: "Computers churn out tons of data daily, but why is so little of it truly useful to anyone? The authors believe that information should be managed as a product and knowledge as an asset. ... This book is of value to IT managers who are trying to provide an overall framework that incorporates a Web site, intranet, data warehousing, data marts and executive information systems that truly attempt to turn information into knowledge."
The textbook for MIT's Summer Professional Program on Total Data Quality Management (15.56s, June 21-24, 1999), this book has also been used as a reading assignment in many corporate seminars and workshops and well received.From the Back Cover:
One of your company's most valuable assets is going to waste!
Whatever business you're in, chances are you've never really assessed how you manage your most valuable product-information.
Now three leaders in intellectual capital management, Dr. Kuan-Tsae Huang, Professor Yang W. Lee, and Professor Richard Y. Wang, show how information can be assessed, evaluated, managed, and promulgated to make your business more responsive, efficient, and effective. They illustrate their ideas with real-world examples of companies that have faced million-dollar losses due to poor data management, as well as industry leaders who have prospered through Total Data Quality Management. Topics include:
So you've spent millions on information systems to deliver knowledge throughout your company. How do you know you're not just sending bad information faster? Data quality management can bring great rewards in customer service, productivity, and responsiveness. Lack of data quality can cost your company millions. The authors take you step by step through assessing your information assets, planning and implementing quality controls, and institutionalizing continuous information quality improvement efforts. Learn how to structure knowledge management so that your company thrives even in times of high employee turnover.
Turn information into a product, not a by-product, and transform it into profitable knowledge.
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Book Description Prentice Hall, 1998. Paperback. Book Condition: Fine. First Edition. The text is clean with no remarks or highlights. 209 pages with the index. Three leaders in intellectual capital management, Dr. Kuan-Tsae Huang, Professor Yang W. Lee, and Professor Richard Y. Wang, show how information can be assessed, evaluated, managed, and promulgated to make your business more responsive, efficient, and effective. They illustrate their ideas with real-world examples of companies that have faced million-dollar losses due to poor data management, as well as industry leaders who have prospered through Total Data Quality Management.Large Heavy Books May Need More Payment For Overseas Delivery. Bookseller Inventory # 16515
Book Description Prentice Hall, 1999. Book Condition: Used. This Book is in Good Condition. Clean Copy With Light Amount of Wear. 100% Guaranteed. Summary: 1. Why Quality Information and Knowledge? Two Propositions. Create Knowledge with Quality Information. Book Organization. 2. Manage Information as a Product. Social and Business Impacts. Social Impacts. Business Impacts. Customer Service. Management Support. Bottom Line. Fundamental Concepts. Information versus Data. From Product to Information Manufacturing. Information Manufacturing Systems. The Information System Development Cycle. The Total Data Quality Management (TDQM) Cycle. Dimensions of Information Quality. The Information Product Manager. Managing Information as a ProductThe Four Principles. Managing Information as a Byproduct Will Not Work. What Is Managed? How Is It Managed? Why Is It Managed? What Is Success? Who Manages It? Appoint the Information Product Manager. The De Facto Information Product Manager. Information Product Manager's Responsibilities. Establish an Information Quality Program. Conclusion. 3.Define Information Quality. The Information System Perspective. Data Deficiency. Design Deficiencies. Operation Deficiencies. Some Implications of Information Systems Design. The Information Consumer Perspective. Fitness for Use. Dimensions of IQ. Define IQ in Organizational Context. Method. Intrinsic IQ Pattern. Problem Analysis and Solutions. Accessibility IQ Pattern. Contextual IQ Pattern. Implications for IS Professionals. Conclusion. 4. Measure, Analyze, and Improve IQ. Measure IQ. Subjective IQ Metrics. Dimensional IQ Assessment. IQ Knowledge Assessment. Objective, Application-Independent Metrics. Application-Dependent IQ Metrics. Analyze IQ. IQ Assessment (IQA). Survey Results Analysis: A Case Study. Integrity Analyzera. Data Integrity. Frequency Checks. Improve IQ. Conclusion. Appendix: IQA Survey. 5. Create Organizational Knowledge. Organizational Alzheimer's Disease. Information and Experience Are Knowledge Sources. Information Contains Knowledge. Experience Manifests Knowledge. What Is Organizational Knowledge? Organizational Knowledge in Three Modes. Assess Organizational Knowledge. Why Create Organizational Knowledge? How to Create Organizational Knowledge. Eyewear Company Revisited. Conclusion. Appendix: IQK Survey. 6. Manage Knowledge as Assets. Power of Collective Knowledge. What Is Knowledge Management? Why Knowledge Management? How to Manage Knowledge Assets. Platform for Knowledge Management. Ten Strategies for Knowledge Management. Competency Networks. Conclusion. 7. Create Customized Solutions. Defining Intellectual Capital, Intellectual Asset, and Solution. Intellectual Capital. Intellectual Asset and Solution. Harvesting and Hardening Assets for Reuse. Knowledge Asset Reuse Process. Intellectual Capital from Project Information. Customized Solutions from Customer Knowledge. Knowledge Asset Development Process. Competency Leader. Asset Manager. Knowledge Architect. Asset Publisher. Asset Broker. Enterprise Knowledge Structure. Requirements for Asset Identification. Selection Criteria for Asset Hunting. Life Cycle Management. Quality of Intellectual Capital. Levels of Life Cycle. From Data to Knowledge. Data and Knowledge Mining. Knowledge Cockpit. Customer Information. Market Information. Business Experiences. Data Warehouses. Network Agents as Knowledge Intermediaries. Network Agents in Electronic Commerce. Verification Driven Agent. Discovery-Driven Agent. Text Mining. Information Filtering. Collaborative Filtering. Conclusion. 8. Network Knowledge Infrastructure. Corporate Knowledge Infrastructure. Knowledge Architecture for the Extended Enterprise. Design Requirements. The Internet, Intranets, and Extranets. Intranets for Knowledge Sharing and Collaboration. ICM AssetWeb. Competency Networks. Best Practice. Navigator. Idea Generation and T. Bookseller Inventory # ABE_book_usedgood_0130101419
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