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Knowledge Management

Knowledge Management. The Knowledge Management Platform B. Nugroho Budi Priyanto. Introduction. A little knowledge that is applied in making one critical decision is much more value than gigabytes of data that are not being used. Knowledge Processes and Technology Enablers.

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Knowledge Management

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  1. Knowledge Management The Knowledge Management Platform B. Nugroho Budi Priyanto

  2. Introduction • A little knowledge that is applied in making one critical decision is much more value than gigabytes of data that are not being used.

  3. Knowledge Processes and Technology Enablers

  4. Basic characteristics of knowledge supporting system • Telephone as a role model • The system should be well accepted in the community that will actually used it, not just the community that creates it • The system should allow and support rich communication • Context, meaning opinions, tone, and biases, should have a way to move through the system • The users should not feel as though the are using something they would not use if given a choice • The system should support informal communication and multiple ways of expressing ideas, thoughts, and communication • The system should be transparent to the user • The system should support the informal local slang used by its. Users.

  5. The seven layer of the KM system architecture

  6. Selection criteria for the collaborative platform • Efficient protocols • Portable operation • Consistent and easy-to-use client interfaces • Scalability • Legacy integration • Security • Flexibility and customizability

  7. Packaging knowledge • Packaging: filtering, editing, searching, and organizing pieces of knowledge. • To make content useful: • Identification • Segmenting • Mass customization • Format • Tests

  8. Delivery options • Push vs. Pull • All vs. Some • Just-in-time vs. Just-in-case

  9. Push vs. Pull • Pull system: requires a user to actively seek information • User choice: users proactively • No distraction: do not distract users with unwanted updates but require user initiative • Push systems: distribute and deliver knowledge to their audience, after filtering. • Noticeability • Ease of use

  10. All vs. Some • All-inclusive • Suited for information management • Data slam • Selective: takes minimalist approach • Useful, contextually applicable pieces • Specifically analyzed information, contextual knowledge, and business intelligence • Tradeoff: this might cause some critical piece of information not to reach the consumer or knowledge worker requiring it.

  11. Just-in-time vs. Just-in-case • Just-in-time • Knowledge is more valuable when it is delivered at the moment its needed – “just-in-time” – rather than being available at all times. • Just-in-case • Systems devaluate knowledge as users become used to receiving information that is not relevant to their immediate work or task in hand.

  12. Infrastructural Elements of Collaborative Intelligence • The artificiality of Artificial Intelligence • Some useful techniques: expert systems, case-based reasoning systems, neural networks, and intelligent agent • Data Warehouse • Multiple dimension data models help in supporting decision making • Genetic Algorithm Tools • Neural networks

  13. Basic Neural Network

  14. Navigation strategies • Metasearching • Hierarchical Searching • Attribute Searching • Content Searching • Combination Search Strategies

  15. Tagging Attributes for Knowledge Content in KM System • A Activities • D Domain • F Form • T Type • P Product and Services • I Time • L Location

  16. Form attribute • Paper • Electronic • Formal (file, word document, spreadsheet, etc.) • Informal (multimedia, sound, video tape, etc.) • Collective • Tacit or mental knowledge • Pointer (to a person who has solved a problem of that nature before, etc.)

  17. Type Attribute • Procedure • Guidelines • Protocol • Manual • Reference • Time line • Worst practice report • Note • Memo • Failure report • Success report • Press release / report • Competitive intelligence report

  18. Product and Services Attribute • Strategic consulting • Implementation consulting • E-commerce consulting

  19. Components of the application layer in a knowledge platform

  20. Knowledge integration in a peer-to-peer knowledge network

  21. The SECI model and the places where IT support fits in

  22. Lessons Learned • Choose IT components to find, create, assemble, and apply knowledge • Identify and understand components of the collaborative intelligence layer • Optimize knowledge object granularity

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