Knowledge management-technologies

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Knowledge management-technologies
Pekka Makkonen References Malaga, Information
systems technology, 2005

• Lecture part 2

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Content

• Types of knowledge management systems
• Introducing our exercise

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Five types of knowledge management systems (KMS)

• Expert directories
• Knowledge repositories
• Knowledge sharing technologies
• Knowledge representation technologies
• Knowledge discovery tools
• Portals

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Expert directories

• On the simple level it can be phonebook including
  both contact information and the expertise
• Used for example in insurance business

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Knowledge repositories

• continuously captures and analyses the knowledge
  assets of an organization
• Examples
• support.microsoft.com
• CIA uses knowledge repositories

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Knowledge sharing technologies

• On the simple level we can see discussion boards
• More complicated example can be
• hk.net

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Knowledge representation technologies

• These technologies represent human knowledge in a
  systematic way
• Transferring tacit human knowledge into a
  computerized format

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Knowledge discovery tools

• For example knowledge about customers is
  increasingly stored in CRM systems

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Integration

• Knowledge portal integrates these technologies
• Semantic portals
• Based on the idea of semantic web
• Two types
• Information portals
• Collaboration portals

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Exercise

• You will familiarize yourself with one KM tool
  and create video about that
• In this way we can share both explicit and tacit
  knowledge about the tools of KM
• There is a rtf document available at the course
  module KM website. This document includes
  instructions
• On the next slides you can see an exemplary
  result of this exercise in the format of slides.
  The teacher of this course has clarified one tool
  as follows. You can use these slides as your
  template for this assignment.

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Example about finished exercise content Powerknow
(PK) (1/5)

• 1. How does your PK support the management of
  explicit knowledge?
• Document browsing by using keyword structure
• Metadata concerning each documentb such as
• Keywords associated
• Users associated
• Maintaining keyword structure

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Example about finished exercise content Powerknow
(PK) (2/5)

• 2. How does PK support the management of tacit
  knowledge?
• Users can have access to different documents
  based on the approval by the document creators
• Roles
• Searching mechanism helps in finding documents
  needed for problem solving

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Example about finished exercise content Powerknow
(PK) (3/5)

• 3. What are the key technical features of PK?
• Roles
• Document lifecycle
• Document structure
• Document history
• Microsoft SQL server

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Example about finished exercise content Powerknow
(PK) (4/5)

• 4. What supporting technologies from our first
  lecture are included in PK?
• PK helps in determining meaningful relationships
  in knowledge if we look at Artificial
  intelligence

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Example about finished exercise content Powerknow
(PK) (5/5)

• 5. Are there any success stories concerning
  improved productivity or coordination in the
  spirit of Siemens?
• PK reports the following referencesHans Gerber
  AG, SwitzerlandMorecon AG, GermanyTECHENG,
  AustraliaDunlop Aerospace, EnglandNational
  Security Technologies, USAMediQuest,
  NetherlandsEndeavor Co. Ltd., JapanBruker
  Biospin AG, SwitzerlandIFP GmbH,
  GermanyStadtwerke Geldern, GermanyTechnische
  Werke Osning GmbH, GermanyAccenture, USACross
  Development, Australia
• In the consulting business for example is quite
  natural to use tools like PK