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    Becerra-Fernandez, et al. -- KnowledgeManagement 1/e -- 2004 Prentice Hall

    Chapter 2

    The Nature of Knowledge

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    Becerra-Fernandez, et al. -- Knowledge Management 1/e -- 2004 Prentice Hall

    Chapter Objectives

    Understand the difference between knowledge,data, and information

    Explain the alternative views of knowledge Understand the different types of knowledge

    Recognize the various locations of knowledge

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    What is Data?

    Data comprises facts, observations, orperceptions

    Data represents raw numbers or assertions

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    What is Information?

    Information is processed data

    Information is a subset of data, only including

    those data that possess context, relevance andpurpose

    Information involves manipulation of raw data

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    What is Knowledge?

    A justified true belief (Nonaka and Takeuchi)

    It is different from data & information

    Knowledge is at the highest level in a hierarchywith information at the middle level, and data tobe at the lowest level

    It is the richest, deepest & most valuable of thethree

    Information with direction

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    Data, Information, and Knowledge

    InformationData

    Zero Low Medium High Very High

    Value

    Knowledge

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    Data, Information, and Knowledge:Example

    H T H T TH H H T H

    T T T H T

    pH = 0.40pT = 0.60RH = +$10RT = -$8

    nH = 40nT = 60

    InformationData

    Zero Low Medium High Very High

    Value

    Knowledge

    EV = -$0.80

    CountingpH = nH/(nH+nT)p

    T

    = nT

    /(nH

    +nT

    ) EV=pH RH+ pT RT

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    Data, Information, Knowledge and Events

    Knowledge

    InformationDataInformation

    System

    Decision

    Events

    Use ofinformation

    Knowledge

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    Subjective View of knowledge

    Knowledge as State of Mind

    Knowledge as Practice

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    Objective View of knowledge

    Knowledge as Objects

    Knowledge as Access to Information

    Knowledge as Capability

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    Types of Knowledge

    Individual, social, causal, conditional, relationaland pragmatic

    Embodied, encoded and procedural

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    Procedural and DeclarativeKnowledge

    Declarative knowledge (substantive knowledge)focuses on beliefs about relationships amongvariables

    Procedural knowledge focuses on beliefsrelating sequences of steps or actions to desired(or undesired) outcomes

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    Tacit and Explicit Knowledge

    Tacit knowledge includes insights, intuitions, andhunches

    Explicit knowledge refers to knowledge that hasbeen expressed into words and numbers

    We can convert explicit knowledge to tacitknowledge

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    General and SpecificKnowledge

    General knowledge is possessed by a largenumber of individuals and can be transferredeasily across individuals

    Specific knowledge, or idiosyncratic

    knowledge, is possessed by a very limited

    number of individuals, and is expensive to

    transfer

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    Technically and ContextuallySpecific Knowledge

    Technically specific knowledge is deepknowledge about a specific area

    Contextually specific knowledge knowledgerefers to the knowledge of particularcircumstances of time and place in which work isto be performed

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    Illustrations of the DifferentTypes of Knowledge

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    Knowledge and Expertise

    Expertise can be defined as knowledge of higherquality

    An expert is one who is able to perform a taskmuch better than others

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    Types of Expertise

    Associational Expertise

    Motor Skills Expertise

    Theoretical (Deep) Expertise

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    Types of Knowledge

    Simple knowledge focuses on one basic area

    Complex knowledge draws upon multiple distinct areasof expertise

    Support knowledge relates to organizationalinfrastructure and facilitates day-to-day operations

    Tactical knowledge pertains to the short-term positioningof the organization relative to its markets, competitors,

    and suppliers Strategic knowledge pertains to the long-term positioning

    of the organization in terms of its corporate vision andstrategies for achieving that vision

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    OrganizationalEntities

    People

    Knowledge Reservoirs

    Groups

    Individuals Organizational Units

    Inter-organizationalNetworks

    Organizations

    Artifacts

    Practices RepositoriesTechnologies

    Reservoirs of Knowledge

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    Characteristics of Knowledge

    Explicitness

    Codifiability

    Teachability Knowledge Specificity

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    Conclusions

    Knowledge is different from data & information

    Knowledge in an area can be defined as justified

    beliefs about relationships among conceptsrelevant to that particular area

    Knowledge can be of different types

    Knowledge has several characteristics

    Knowledge resides is several different places

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    Chapter 2

    The Nature of Knowledge