The objective of this course is to prepare students to understand the current theories, practices, tools, and techniques in knowledge management (KM) to deal with the challenges with the organization and management of knowledge. This course addresses contemporary issues in managing knowledge, intellectual capital and other intangible assets by disc...
The objective of this course is to prepare students to understand the current theories, practices, tools, and techniques in knowledge management (KM) to deal with the challenges with the organization and management of knowledge. This course addresses contemporary issues in managing knowledge, intellectual capital and other intangible assets by disc...
Lecture 1: Introduction to KM
28mLecture 2: Introduction to KM (Contd.)
28mLecture 3: Why KM
33mLecture 4: KM System Life Cycle (KSLC)
30mLecture 5: Aligning KM and business strategy
32mLecture 6: Process and models of KM cycle.
33mLecture 7: Process and models of KM cycle (Contd.)
31mLecture 8: Knowledge creation and architecture.
24mLecture 9: Capturing tacit knowledge
32mLecture 10: Capturing tacit knowledge (Contd.)
32mLecture 11: Knowledge codification
29mLecture 12: Knowledge codification
32mLecture 13: System development: system testing and deployment
30mLecture 14: System development: system testing and deployment (Contd.)
28mLecture 15: Knowledge transfer and knowledge sharing
33mLecture 16: Knowledge infrastructure,
33mLecture 17: Knowledge infrastructure (Contd.)
32mLecture 18: Knowledge audit
34mLecture 19: The knowledge team
31mLecture 20: The knowledge team (Contd.)
32mLecture 21: Analysis, design of KM system
32mLecture 22 : Analysis, design of KM system
32mLecture 23 : Developing the KM system
32mLecture 24 : Prototyping and deployment
31mLecture 25 : Prototyping and deployment
32mLecture 26 : Inferences from data.
30mLecture 27 : Inferences from data.
22mLecture 28 : Data mining
32mLecture 29 : Data Management
32mLecture 30 : Knowledge portals
33mLecture 31: Evaluation of KM effectiveness: Tools and
34mLecture 32: Metrics?
38mLecture 33: Legal issues?
32mLecture 34: Ethical Issues
31mLecture 35: Managerial issues?
33mLecture 36 : KM. Experiences form Indian companies
30mLecture 37: KM practices of select industries
31mLecture 38 : KM practices of select industries
33mLecture 39 : Linking KM with innovation and learning organization
30mLecture 40 : Future of KM
29m