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1Lecture 1: Introduction to KM English(PDF)|Hindi(PDF)
2Lecture 2: Introduction to KM (Contd.) English(PDF)|Hindi(PDF)
3Lecture 3: Why KM English(PDF)|Hindi(PDF)
4Lecture 4: KM System Life Cycle (KSLC) English(PDF)|Hindi(PDF)
5Lecture 5: Aligning KM and business strategy English(PDF)|Hindi(PDF)
6Lecture 6: Process and models of KM cycle. English(PDF)|Hindi(PDF)
7Lecture 7: Process and models of KM cycle (Contd.) English(PDF)|Hindi(PDF)
8Lecture 8: Knowledge creation and architecture. English(PDF)|Hindi(PDF)
9Lecture 9: Capturing tacit knowledge English(PDF)|Hindi(PDF)
10Lecture 10: Capturing tacit knowledge (Contd.) English(PDF)|Hindi(PDF)
11Lecture 11: Knowledge codification English(PDF)|Hindi(PDF)
12Lecture 12: Knowledge codification English(PDF)|Hindi(PDF)
13Lecture 13: System development: system testing and deployment English(PDF)|Hindi(PDF)
14Lecture 14: System development: system testing and deployment (Contd.) English(PDF)|Hindi(PDF)
15Lecture 15: Knowledge transfer and knowledge sharing English(PDF)|Hindi(PDF)
16Lecture 16: Knowledge infrastructure, English(PDF)|Hindi(PDF)
17Lecture 17: Knowledge infrastructure (Contd.) English(PDF)|Hindi(PDF)
18Lecture 18: Knowledge audit English(PDF)|Hindi(PDF)
19Lecture 19: The knowledge team English(PDF)|Hindi(PDF)
20Lecture 20: The knowledge team (Contd.) English(PDF)|Hindi(PDF)
21Lecture 21: Analysis, design of KM system English(PDF)|Hindi(PDF)
22Lecture 22 : Analysis, design of KM system English(PDF)|Hindi(PDF)
23Lecture 23 : Developing the KM system English(PDF)|Hindi(PDF)
24Lecture 24 : Prototyping and deployment English(PDF)|Hindi(PDF)
25Lecture 25 : Prototyping and deployment English(PDF)|Hindi(PDF)
26Lecture 26 : Inferences from data. English(PDF)|Hindi(PDF)
27Lecture 27 : Inferences from data. English(PDF)|Hindi(PDF)
28Lecture 28 : Data mining English(PDF)|Hindi(PDF)
29Lecture 29 : Data Management English(PDF)|Hindi(PDF)
30Lecture 30 : Knowledge portals English(PDF)|Hindi(PDF)
31Lecture 31: Evaluation of KM effectiveness: Tools and English(PDF)|Hindi(PDF)
32Lecture 32: Metrics English(PDF)|Hindi(PDF)
33Lecture 33: Legal issues English(PDF)|Hindi(PDF)
34Lecture 34: Ethical Issues English(PDF)|Hindi(PDF)
35Lecture 35: Managerial issues English(PDF)|Hindi(PDF)
36Lecture 36 : KM. Experiences form Indian companies English(PDF)|Hindi(PDF)
37Lecture 37: KM practices of select industries English(PDF)|Hindi(PDF)
38Lecture 38 : KM practices of select industries English(PDF)|Hindi(PDF)
39Lecture 39 : Linking KM with innovation and learning organization English(PDF)|Hindi(PDF)
40Lecture 40 : Future of KM English(PDF)|Hindi(PDF)
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