BIT Knowledge Management

This course introduces fundamental concept of knowledge and different issues in managing the knowledge.

This course enables to learn about the evolution of Knowledge Management, be familiar with tools, be exposed to applications, and be familiar with some case studies.

Unit 1: Introduction (4 Hrs.)

Introduction to Knowledge Management, Multidisciplinary Nature of KM, History of Knowledge Management, Why KM is Important Today?, KM for Individuals, Communities and Organizations, Perspective of KM; The Evolution of Knowledge Management: From Information Management to Knowledge Management, Knowledge Management Cycle (Wiig KM Cycle, Meyer and Zack KM Cycle), Ethics for Knowledge Management, Ethics Dimension, Intellectual Property Right

Unit 2: Creating the Culture of Learning and Knowledge Sharing (9 Hrs.)

Organization and Knowledge Management, Building the Learning Organization, Knowledge Markets (purpose, method, benefit): Cooperation among Distributed Technical Specialists, Tacit Knowledge, Tacit Knowledge Capture at Individual Level, Interviewing Experts, Structured Interviewing, Stories, Learning by Being Told, Learning by Observation, Knowledge Audit, Gap Analysis, KM Metrics, Von Krogh and Roos Model of Organizational Epistemology, Choo Sense Making KM Model, Inukshuk KM Model

Unit 3: Knowledge Management – The Tools (10 Hrs.)

Telecommunications and Networks in Knowledge Management, Internet Search Engines and Knowledge Management, Information Technology in Support of Knowledge Management, Networking Technologies, Knowledge Acquisition and Application Tools (Intelligent Filtering Tools, Adaptive Technologies), Knowledge Management and Vocabulary Control, Information Mapping in Information Retrieval, Information Coding in the Internet Environment, Repackaging Information

Unit 4: Knowledge Management – Application (8 Hrs.)

Knowledge Capture and Codification, Tacit Knowledge Capture, Tacit Knowledge Capture at the Individual, Group and Organizational Levels, Explicit Knowledge Codification, Cognitive Maps, Decision Trees, Knowledge Taxonomies

Unit 5: Future Trends (9 Hrs.)

Knowledge Management Value, KM Return on Investment (ROI) and Metrics, Benchmarking Method, Balanced Scorecard Method, House of Quality Method, Results-Based Assessment Framework, Measuring the Success of CoP; Future Challenges for KM, Political Issues Regarding Internet Search Engine, Intellectual Property Issues, How to Provide Incentives for Knowledge Sharing, Future Challenges for KM, KM Research, A Postmodern KM, Concluding Thought

Upon completion of the course, the student should be able to:

• Use the knowledge management tools.
• Develop knowledge management applications (social network analysis, document management).
• Design and develop enterprise applications (aggregation, e-learning).