4. Knowledge Creation & Architecture

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    KNOWLEDGE CREATION& ARCHITECTURE

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    Knowledge Acquisition and KnowledgeCreation

    is an on-going exercise

    todays knowledge may or may not solve

    tomorrows problems knowledge needs to be updated all the time

    an activity enabled by technology and producedby people

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    Knowledge Creation & Transfer Througha Team

    InitialKnowled

    ge

    TeamPerforms

    a Job

    New KnowledgeReusable bySame Teamon Next Job

    OutcomeRealized

    Knowledgecaptured

    and codified in aform

    usable by others

    Outcome

    comparedto Action

    NewExperience/

    KnowledgeGained

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    Conversion of Knowledge b/w Tacit& Explicit

    Tacit to Tacit(Socialization)

    Team Meetingsand Discussions

    Explicit to Explicit(Communication)

    E-mail a Report

    Tacit to Explicit(Externalization)

    Dialog within TeamAnswer Questions

    Explicit to Tacit(Internalization)

    Learn from Report

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    Processes and Activities

    Gathering Data entryOCR and scanning Voice input

    Pulling information from various sources includingInternet

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    Processes and Activities

    OrganizingCataloging

    Indexing Filtering

    Linking

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    Processes and Activities

    RefiningContextualizing

    Collaborating

    CompactingProjecting

    Mining

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    Processes and Activities

    Disseminating Flow

    Sharing Alert

    Push

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    Knowledge Architecture

    a pre-requisite toknowledge sharing

    infrastructure consists ofpeople, content andtechnology

    are interdependent andinseparable

    People having knowledge

    provide content , relyingon technology to transferand share theknowledge.

    People

    Content

    Technology

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    People

    Knowledge workers, managers, customers,suppliers

    Evaluate current information & documents used

    by peopleApplications they need

    People they contact for solution

    Associates they collaborate with

    Emails they send & receiveDatabase they use

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    Knowledge Network

    mapped in such a way as to assign peopleauthority and responsibilities for specific kind ofknowledge content

    Identifying Knowledge centers e.g. Sales,Products or Marketing etc.

    Activating knowledge content satellite lowerlevel knowledge centers that hierarchically fall

    under higher level centers Staffing/deploying proper experts at each of

    these knowledge centers

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    Technical Core

    encompasses the Hardware, Software and thespecialized human core

    the speed, accuracy, reliability and of course

    integrity is bound to be there In designing a KM system, it is prudent to tie

    what is already available

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    Technical Core

    Focus on real knowledge of people rather thanartificial intelligence

    Finding the sources of know-how, not just the

    know-how Tagged to collaboration

    Concentrate on realism not perfection

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    Capturing Tacit Knowledge

    Extract problem solving knowledge from humanexpert

    Experts should give relevant information

    All levels of experts should be used Single or multiple expert Interviews expert cannot convey the knowledge in

    spite of being competent

    Content of questions in an interview Interpret the experts answers correctly

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    Knowledge Codification

    Knowledge maps, storyboarding knowledge etc.

    is organizing and representing knowledge beforeit is accessed by the authorized person

    converting tacit knowledge to explicit knowledgein a usable form

    Converting undocumented to documentedinformation

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    Knowledge Codification

    Tacit knowledge such as human expertise is identified and leveraged through a form that

    delivers the highest return to the business

    Explicit knowledge should be organized,categorized, indexed and accessed via thecompanys intranet or some other means tomake it visible, accessible and usable.

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    Knowledge Maps

    visual representationYou cant verbalize unless you visualize way to codify the knowledge is to visualize tools to transform employees into knowledge

    partners for effective decision making