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Knowledge management-exercise

Knowledge management-exercise. Pekka Makkonen. Lecture part 2. 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

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Knowledge management-exercise

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  1. Knowledge management-exercise Pekka Makkonen Lecture part 2

  2. 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. The teacher of this course has clarified one tool as follows. You can use these slides as your template for this assignment (save these slides on your own disk and rename the file and remove needless slides and save again). Lecture part 2-Exercise

  3. 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 Lecture part 2-Exercise

  4. 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 Lecture part 2-Exercise

  5. 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 Lecture part 2-Exercise

  6. 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 Lecture part 2-Exercise

  7. 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 Lecture part 2-Exercise

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