Quality Information and Knowledge Management

Quality Information and Knowledge Management

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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.show more

Product details

  • Paperback | 224 pages
  • 175.26 x 233.68 x 17.78mm | 294.83g
  • Pearson Education (US)
  • Prentice Hall
  • Upper Saddle River, United States
  • English
  • 0130101419
  • 9780130101419

Table of contents

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 Product-The 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 Team Collaboration. Issue-Based Structured Collaboration. Shared Central Repository. Capture Team Dialog and Issue Resolution. Managing Team's Knowledge. Extranets for Customer Care Management. Net Car Dealerships. Groupware for Collaboration. The Internet and Intranets for Networked Communication. Security. Conclusion.9. Prosper in the Digital Economy. Knowledge-based Economy. Competitive Drivers. Innovation. Responsiveness. Productivity. Competency. Competing for Intellectual Influence. Helping Customers to Win. Empowering Knowledge Workers to Execute. Configuring Business Partners to Team. A Web-based Advisor. Transforming the Future of Life. Networked Life. Knowledge Sharing and Mining. Being Virtual rather than Physical. Conclusion.Information Quality Bibliography. Knowledge Management Bibliography. Glossary. Index.show more

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