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Knowledge Management

Knowledge Management (KM) is the systematic process of identifying, capturing, evaluating, retrieving, and sharing all of an organization's information assets. These assets may include databases, documents, policies, procedures, and previously uncaptured expertise and experience in individual workers.

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Knowledge Management

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Course Title: Knowledge Management

Course No: BIT455

Nature of the Course: Theory + Lab

Semester: 8

Full Marks: 60 + 20 + 20

Pass Marks: 24 + 8 + 8

Credit Hours: 3

Course Description

Course Objectives

Course Contents

1. Introduction
4 hrs
1.1. Introduction to Knowledge Management
1.2. Multidisciplinary Nature of KM
1.3. Techniques History of Knowledge Management
1.4. Why KM is Important Today?
1.5. KM for Individuals, Communities and Organizations
1.6. Perspective of KM
1.7. The Evolution of Knowledge Management
  • From Information Management to Knowledge Management
  • Knowledge Management Cycle (Wiig KM Cycle, Meyer And Zack KM Cycle)
1.8. Ethics for Knowledge Management
  • Ethics Dimension
  • Intellectual Property Right
2. Creating the Culture of Learning and Knowledge Sharing
9 hrs
2.1. Organization and Knowledge Management
2.2. Building the Learning Organization
2.3. Knowledge Markets
  • Purpose
  • Method
  • Benefit
2.4. Cooperation among Distributed Technical Specialists
2.5. Tacit Knowledge
  • Tacit Knowledge Capture at Individual Level
  • Interviewing Experts
  • Structured Interviewing
  • Stories
  • Learning by Being Told
  • Learning by Observation
2.6. Knowledge Audit
2.7. Gap Analysis
2.8. KM Metrics
2.9. Von Krogh and Roos Model of Organizational Epistemology
2.10. Choo Sense Making KM Model
2.11. Inukshuk KM Model
3. Knowledge Management – The Tools
10 hrs
3.1. Telecommunications and Networks in Knowledge Management
3.2. Internet Search Engines and Knowledge Management
3.3. Information Technology in Support of Knowledge Management
3.4. Networking technologies
3.5. Knowledge Acquisition and Application Tools
  • Intelligent Filtering Tools
  • Adaptive Technologies
3.6. Knowledge Management and Vocabulary Control
3.7. Information Mapping in Information Retrieval
3.8. Information Coding in the Internet Environment
3.9. Repackaging Information
4. Knowledge Management – Application
8 hrs
4.1. Knowledge Capture and Codification
4.2. Tacit Knowledge Capture
  • Tacit Knowledge Capture at the Individual Level
  • Tacit Knowledge Capture at the Group Level
  • Tacit Knowledge Capture at the Organizational Level
4.3. Explicit Knowledge Codification
4.4. Cognitive Maps
4.5. Decision Trees
4.6. Knowledge Taxonomies
5. Future Trends
9 hrs
5.1. Knowledge Management Value
5.2. 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
5.3. Future Challenges for KM
5.4. Political Issues Regarding Internet Search Engine
5.5. Intellectual Property Issues
5.6. How to Provide Incentives for Knowledge Sharing
5.7. KM Research
5.8. A Postmodern KM
5.9. Concluding Thought

Laboratory Works

  1. 1.Knowledge Management Tools
  2. 2.Knowledge Management Applications
  3. 3.Enterprise Applications

Reference Books

  1. 1.Srikantaiah. T. K., Koenig, M., "Knowledge Management for the Information Professional" Information Today, Inc., 2000
  2. 2.Dalkir, K. (2011). Knowledge Management in Theory and Practice (2nd edition) Cambridge, Massachusetts: The MIT Press
  3. 3.Nonaka, I., Takeuchi, H., "The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation", Oxford University Press, 1995
  4. 4.Knowledge Management in Theory and Practice, Kimiz Dalkir, 2005

Notes:

Source:

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.
Use knowledge management tools. Develop knowledge management applications (Social network analysis, document management). Design and develop enterprise applications (Aggregation, E-Learning).
This syllabus follows the official BIT curriculum of Tribhuvan University. In case of any doubt or revision, the university's published syllabus shall be considered authoritative.