Lecture 3 of 40Week 1
Lecture 3: Why KM
Prof. K B L Srivastava · IIT Kharagpur
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- Knowledge Management, IIT Kharagpur (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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- Tweens profiles and older. How courses are placed
All the lectures
- Lecture 1: Introduction to KM
- Lecture 2: Introduction to KM (Contd.)
- Lecture 3: Why KM
- Lecture 4: KM System Life Cycle (KSLC)
- Lecture 5: Aligning KM and business strategy
- Lecture 6: Process and models of KM cycle.
- Lecture 7: Process and models of KM cycle
- Lecture 8: Knowledge creation and architecture.
- Lecture 9: Capturing tacit knowledge
- Lecture 10: Capturing tacit knowledge
- Lecture 11: Knowledge codification
- Lecture 12: Knowledge codification (Contd.)
- Lecture 13: System development: system testing and deployment
- Lecture 14: System development: system testing and deployment
- Lecture 15: Knowledge transfer and knowledge sharing
- Lecture 16: Knowledge Infrastructure
- Lecture 17: Knowledge Infrastructure (Contd.)
- Lecture 18: Knowledge Audit
- Lecture 19: The knowledge team
- Lecture 20: The knowledge team
- Lecture 21: Analysis, design of KM system
- Lecture 22: Analysis, design of KM system (Contd.)
- Lecture 23: Developing the KM system
- Lecture 24: Prototyping and deployment
- Lecture 25: Prototyping and deployment (Contd.)
- Lecture 26: Inferences from data.
- Lecture 27: Inferences from data (Contd.)
- Lecture 28: Data mining
- Lecture 29: Data Management
- Lecture 30: Knowledge Portals
- Lecture 31: Evaluation of KM effectiveness: Tools and Metrics
- Lecture 32 : Evaluation of KM effectiveness: Tools and Metrics (Contd)
- Lecture 33: Legal issues
- Lecture 34: Ethical Issues
- Lecture 35: Managerial issues
- Lecture 36: KM. Experiences form Indian companies
- Lecture 37: KM practices of select industries
- Lecture 38:KM practices of select industries (Contd.)
- Lecture 39: Future of KM
- Lecture 40: Future of KM (Contd.)