Knowledge Technologies ^{3rd Ed.}

Open University Business School MBA B823 Managing Knowledge

1. Introduction
• 1.1 ‘Managing’?
• 1.2 ‘Technology’?
• 1.3 Pressing Questions
• 1.4 Scope of the Unit
• 1.5 Aims
• 1.6 Learning Objectives
2. Core Concepts
• 2.1 Representation, Interpretation and Communities of Practice
• 2.2 Codification and Formalization
• From tacit to codified knowledge
• From Heidegger to knowledge management technologies
• 2.3 Design Implications
3. Frameworks for Knowledge Technologies
• 3.1 Tacit, Explicit and Meta-Knowledge
• 3.2 Organizational Memory Systems
• Metaphors for organizational memory systems
• Integrating memory systems into the flow of work
• A framework for planning a group memory system
• When we just want to forget ('we're only human')
4. Mapping Technologies to Knowledge Types
• 4.1 Technologies and Meta-Knowledge
• Mapping who knows what
• Mapping important knowledge categories
• But the map also shapes the territory
• Generating maps and summaries automatically
• Mapping across multiple communities of practice
• 4.2 Technologies and Tacit Knowledge
• Connecting people to people
• Capturing meetings
• Making the tacit explicit — at the right moment
• Stories for sharing tacit/informal knowledge
• Stories in organizations
• Narrative technologies
• Debating and negotiating meaning
• Communities of practice and technology
• 4.3 Technologies and Explicit Knowledge
• Standards and classification
• Example: an 'intelligent' email system
• Users structure more information
• Computer infers information from unstructured information
• Computer helps users structure information
• Ontologies
• Metadata
• The Semantic Web
• Software agents
• Ontology-based software agents
• Data mining
• Information visualization
5. Conclusion

MBA material, what do you expect?