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ویرایش: 1 نویسندگان: Elias M. Awad, Hassan Ghaziri سری: ISBN (شابک) : 8131714039, 9788131714034 ناشر: Pearson سال نشر: 2003 تعداد صفحات: 481 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 18 مگابایت
در صورت تبدیل فایل کتاب Knowledge Management به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
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Cover Contents Preface About the Authors Part I: The Basics Chapter 1: Working Smarter, Not Harder In a Nutshell What Is Knowledge Management? The Knowledge Organization Why Knowledge Management? How It Came About KM Myths KM Life Cycle Implications for Knowledge Management Summary Terms to Know Test Your Understanding Knowledge Exercises References Chapter 2: Understanding Knowledge In a Nutshell Definitions Knowledge Intelligence Experience Common Sense Cognition and Knowledge Management Data, Information, and Knowledge Data Information Knowledge Types of Knowledge Shallow and Deep Knowledge Knowledge as Know-How Reasoning and Heuristics Common Sense as Knowledge From Procedural to Episodic Knowledge Explicit and Tacit Knowledge Expert Knowledge Chunking Knowledge Knowledge as an Attribute of Expertise Human Thinking and Learning Human Learning Learning by Experience Learning by Example Learning by Discovery Implications for Knowledge Management Summary Terms to Know Test Your Understanding Knowledge Exercises References Chapter 3: Knowledge Management Systems Life Cycle In a Nutshell Challenges in Building KM Systems Conventional Versus KM System Life Cycle Knowledge Management System Life Cycle (KMSLC) System Justification Role of Rapid Prototyping Selecting an Expert Role of the Knowledge Developer User Training Implications for Knowledge Management Summary Terms to Know Test Your Understanding Knowledge Exercises References Part II: Knowledge Creation and Capture Chapter 4: Knowledge Creation and Knowledge Architecture In a Nutshell Knowledge Creation Nonaka’s Model of Knowledge Creation and Transformation Knowledge Architecture The People Core Identifying Knowledge Centers The Technical Core Build In-Home, Buy, or Outsource Implications for Knowledge Management Summary Terms to Know Test Your Understanding Knowledge Exercises References Chapter 5: Capturing Tacit Knowledge In a Nutshell What Is Knowledge Capture? Evaluating the Expert Levels of Expertise Capturing Single Versus Multiple Experts\' Tacit Knowledge Advantages and Drawbacks of Using a Single Expert Pros and Cons of Using Multiple Experts Developing a Relationship with Experts Creating the Right Impression Understanding the Expert\'s Style Preparing for the Session Approaching Multiple Experts Deciding Where to Hold the Sessions Fuzzy Reasoning and the Quality of Knowledge Capture Analogies and Uncertainties in Information Understanding Experience The Language Problem The Interview As a Tool Types of Interviews Guide to a Successful Interview Setting the Stage and Establishing Rapport Phrasing the Questions Question Construction Thing to Avoid Reliability of Information from Experts Errors Made by the Knowledge Developer Problems Encountered During the Interview Ending the Interview Issues to Assess Rapid Prototyping in Interviews Benefits and Drawbacks Implications for Knowledge Management Summary Terms to Know Test Your Understanding Knowledge Exercises References Chapter 6: Other Knowledge Capture Techniques In a Nutshell Overview On-Site Observation Brainstorming Electronic Brainstorming Protocol Analysis What Is a Scenario? Protocol Procedure of the Diabetic Foot KM System Consensus Decision Making The Repertory Grid Nominal Group Technique (NGT) The Delphi Method Concept Mapping Procedure Concept Mapping and Semantic Nets Blackboarding Implications for Knowledge Management Summary Terms to Know Test Your Understanding Knowledge Exercises References Part III: Knowledge Codification and System Implementation Chapter 7: Knowledge Codification In a Nutshell What Is Knowledge Codification? Why Codify? Diagnosis Instruction/Training Interpretation Planning/Scheduling Prediction Things to Remember Modes of Knowledge Conversion How to Codify Knowledge Codifying Tacit Knowledge Codification Tools and Procedures Knowledge Maps Decision Tables Decision Trees Frames Production Rules Case-Based Reasoning Knowledge-Based Agents The Knowledge Developer’s Skill Set Knowledge Requirements Skills Requirements Implications for Knowledge Management Summary Terms to Know Test Your Understanding Knowledge Exercises References Chapter 8: System Testing and Deployment In a Nutshell Quality and Quality Assurance Knowledge Testing Key Definitions Issues to Consider Approaches to Logical Testing Circular Errors Redundancy Errors Unusable Knowledge Subsumption Errors Inconsistent Knowledge Approaches to User Acceptance Testing Test Team and Plan User Acceptance Test Criteria User Acceptance Test Techniques Managing the Testing Phase KM System Deployment Issues Related to Deployment Selection of the Knowledge Base Problem Ease of Understanding the KM System Knowledge Transfer Integration Alternatives The Issue of Maintenance Organizational Factors Other Factors Role of the Champion User Training and Deployment Preparing for KM System Training Combating Resistance to Change Postimplementation Review Security Considerations Implications for Knowledge Management Summary Terms to Know Test Your Understanding Knowledge Exercises References Chapter 9: Knowledge Transfer and Knowledge Sharing In a Nutshell Knowledge Transfer As a Step in a Process The Knowing-Doing Gap Prerequisites for Transfer Transfer Methods Nature of the Problem Transfer Strategies Inhibitors of Knowledge Transfer How Knowledge Is Transferred Role of the Internet in Knowledge Transfer Internet Service Providers Stability and Reliability of the Web Unique Benefits of the Internet Limitations Implications for Knowledge Management Summary Terms to Know Test Your Understanding Knowledge Exercises References Chapter 10: Knowledge Transfer in the E-World In a Nutshell The E-World Intranets Extranets and Knowledge Exchange Groupware Groupware Applications E-Business The Value Chain Supply Chain Management (SCM) and Knowledge Exchange Implications for Knowledge Management Summary Terms to Know Test Your Understanding Knowledge Exercises References Part IV: KM System Tools and Portals Chapter 11: Learning from Data In a Nutshell The “Learning” Concept Data Visualization Neural Networks As a Learning Model The Basics Supervised and Unsupervised Learning Business Applications Relative Fit with Knowledge Management Association Rules Market Basket Analysis: PETCO Classification Trees Definition Decision for Granting a Loan Tree Construction Implications for Knowledge Management Summary Terms to Know Test Your Understanding Knowledge Exercises References Web Sites Chapter 12: Data Mining-Knowing the Unknown In a Nutshell What Is Data Mining? Definitions Data Mining and Business Intelligence Business Drivers Technical Drivers Role of Statistics Machine Learning Data Warehouses OLAP Evolution of the Decision-Making Architecture DM Virtuous Cycle Business Understanding Develop the DM Application Data Management Data Sources Taxonomy of Data Data Preparation Model Building Parameter Settings and Tuning Model Testing and Analysis of Results Taking Action and Deployment Postdeployment Phase DM in Practice Role of DM in Customer Relationship Management Customer Acquisition Campaign Optimization Customer Scoring Direct Marketing Integrating DM , CRM , and E-Business Implications for Knowledge Management Summary Terms to Know Test Your Understanding Knowledge Exercises References Selected Web Sites Chapter 13: Knowledge Management Tools and Knowledge Portals In a Nutshell Portals: The Basics What Is a Portal? Evolution of Portals Key Characteristics Illustration The Business Challenge Portals and the Business Transformation Market Potential Knowledge Portal Technologies Key Functionality Collaboration Content Management Collaboration versus Categorization: The Case of the World Bank Intelligent Agents Implications for Knowledge Management Who Is Building Enterprise Portals? Who Sponsors Enterprise Portals? Implementation Issues Bandwidth Portal Product Selection Summary Terms to Know Test Your Understanding Knowledge Exercises References Part V: Ethical, Legal, and Managerial Issues Chapter 14: Who Owns Knowledge?Ethical and Legal Issues In a Nutshell Knowledge Owners Knowledge for Sale Releasing Knowledge Gained on the Job Becoming an Expert via a Corporate Knowledge-Based System Legal Issues The Liability Question The Basis of Liability Copyrights, Trademarks, and Trade Names Warranties Strict Liability Legal Disputes in Knowledge Management Web Linking and Domain Name Disputes The Malpractice Factor The Ethics Factor What Is Ethics? Ethical Decision Cycle Major Threats to Ethics Improving the Climate Where to Start? Code o f Ethics The Privacy Factor Implications for Knowledge Management Summary Terms to Know Test Your Understanding Knowledge Exercises References Chapter 15: Managing Knowledge Workers In a Nutshell What Is a Knowledge Worker? Personality and Professional Attributes Business Roles in the Learning Organization Management and Leadership Work Management Tasks Work Adjustment and the Knowledge Worker Profile of Vocational Needs and Reinforcers of Knowledge Workers Smart Leadership Requirements Technology and the Knowledge Worker Knowledge Worker\'s Skills Role of Ergonomics Role of the CKO Managerial Considerations Becoming a Change Leader Managing Knowledge Projects The Soft Side Always Wins Implications for Knowledge Management Summary Terms to Know Test Your Understanding Knowledge Exercises References Epilogue: What More Do We Need to Know? The Shareability Factor The Human Element There Is More to Know The Social Factor One Final Note References Index