Page 2
Facts about situationFacts about situation
Page 4
Right data should be collectedRight data should be collected
Page 5
Data should be updated Data should be updated regularlyregularly
Page 6
Raw material extracted from Raw material extracted from environmentenvironment
Page 7
Cash registerCash register
Page 8
Aero plane travelingAero plane traveling
Page 9
Cooking a cakeCooking a cake
Page 10
ContextualizedContextualized
Page 11
StructuredStructured
Page 12
CategorizedCategorized
Page 13
CondensedCondensed
Page 14
When we addWhen we add
something to datasomething to data
Page 15
Information Information
Page 16
Assign value to dataAssign value to data
Page 17
TransformationTransformation
Page 18
Decision makingDecision making
Page 19
Problem solvingProblem solving
Page 20
AA
Find and send easilyFind and send easily
Page 21
CC
Format and organize Format and organize
Page 22
TT
Current for up-dated decisionsCurrent for up-dated decisions
Page 23
Complete understandingComplete understanding
OfOf
InformationInformation
Page 24
Absorb informationAbsorb information
Page 26
ExperienceExperience
Page 28
Brought upBrought up
Page 29
CapabilitiesCapabilities
Page 30
Useful actionsUseful actions
Page 31
Problem solvingProblem solving
Page 32
Decision makingDecision making
Page 33
Information + Personal know-Information + Personal know-howhow
Page 34
KnowledgeKnowledge
Page 36
Ever changingEver changing
Page 37
Why not static ?Why not static ?
Page 38
Based on non-static thingsBased on non-static things
Page 39
2020thth Century Century
Page 40
Information Information + Know- + Know-howhow
Page 41
21st Century21st Century
Page 42
InformationInformation + + Know-Know-howhow
Page 43
Know-how Know-how
??
Page 44
Creation of value form Creation of value form informationinformation
Page 45
Types of knowledgeTypes of knowledge
Page 46
Expressed knowledgeExpressed knowledge
Page 47
What we know we knowWhat we know we know
Page 48
Car owner’s manualCar owner’s manual
Travelers guideTravelers guide
Page 49
Formulas, methodologies, Formulas, methodologies, documentsdocuments
Page 50
Expressible knowledgeExpressible knowledge
Page 51
What we know we know but What we know we know but not notednot noted
Page 52
Family business secretsFamily business secrets
Page 53
Know - what ( How things Know - what ( How things work )work )
Page 54
Know - what ( How things Know - what ( How things work )work )
++
Page 55
Know - what ( How things work )Know - what ( How things work )++
Know - whoKnow - who ( Experts ) ( Experts )
Page 56
Inexpressible knowledgeInexpressible knowledge
Page 57
What we know that can’t be What we know that can’t be notednoted
Page 58
Where it is present ?Where it is present ?
Page 59
Minds of peopleMinds of people
Page 60
Changing information Changing information
Page 61
Changing information Changing information
++
ExpertiseExpertise
Page 62
Changing information Changing information
++
ExpertiseExpertise
==
Best solutionBest solution
Page 63
Hat RibbonHat Ribbon
Page 64
Knowledge assetsKnowledge assets
Page 65
Knowledge assetsKnowledge assets
DataData
Page 66
Knowledge assetsKnowledge assets
DataData InformationInformation
Page 67
Knowledge assetsKnowledge assets
DataData InformationInformation Expressed knowledgeExpressed knowledge
Page 68
Knowledge assetsKnowledge assets
DataData InformationInformation Expressed knowledgeExpressed knowledge Expressible knowledgeExpressible knowledge
Page 69
Knowledge assetsKnowledge assets
DataData InformationInformation Expressed knowledgeExpressed knowledge Expressible knowledgeExpressible knowledge Inexpressible knowledgeInexpressible knowledge
Page 70
ManagementManagement
??
Knowledge assetsKnowledge assets
Page 71
Convert Convert
information into knowledgeinformation into knowledge
??
Page 72
Apply knowledgeApply knowledge
For For
Value addition and competitive advantageValue addition and competitive advantage
??
Page 73
Knowledge ManagementKnowledge Management
Page 74
Historical overviewHistorical overview
Page 75
Historical overviewHistorical overview
Master to apprentice in ancient Master to apprentice in ancient times.times.
Page 76
Historical overviewHistorical overview
Master to apprentice in ancient Master to apprentice in ancient times.times.
Aristotle.Aristotle.
Page 77
Historical overviewHistorical overview
Master to apprentice in ancient Master to apprentice in ancient times.times.
Aristotle.Aristotle. Nonaka.Nonaka.
Page 78
Historical overviewHistorical overview
Master to apprentice in ancient Master to apprentice in ancient times.times.
Aristotle.Aristotle. Nonaka.Nonaka. Data storagesData storages
Page 79
Historical overviewHistorical overview
Master to apprentice in ancient Master to apprentice in ancient times.times.
Aristotle.Aristotle. Nonaka.Nonaka. Data storages.Data storages. Artificial intelligence. Artificial intelligence. ( speech, language )( speech, language )
Page 80
Historical overviewHistorical overview
Master to apprentice in ancient times.Master to apprentice in ancient times. Aristotle.Aristotle. Nonaka.Nonaka. Data storages.Data storages. Artificial intelligence. Artificial intelligence. ( speech, language )( speech, language )
Expert systems. Expert systems. (cloning of human (cloning of human reasoning )reasoning )
Page 81
Historical overviewHistorical overview
Master to apprentice in ancient times.Master to apprentice in ancient times. Aristotle.Aristotle. Nonaka.Nonaka. Data storages.Data storages. Artificial intelligence. Artificial intelligence. ( speech, language )( speech, language )
Expert systems. Expert systems. (cloning of human (cloning of human reasoning )reasoning )
Neural networksNeural networks ( input-output pathways ) ( input-output pathways )
Page 82
Historical overviewHistorical overview
Master to apprentice in ancient times.Master to apprentice in ancient times. Aristotle.Aristotle. Nonaka.Nonaka. Data storages.Data storages. Artificial intelligence. Artificial intelligence. ( speech, language )( speech, language )
Expert systems. Expert systems. (cloning of human reasoning )(cloning of human reasoning )
Neural networksNeural networks ( input-output pathways ) ( input-output pathways )
Information explosion.Information explosion.
Page 84
ProductionProduction
Apply knowledge to what we already Apply knowledge to what we already dodo
Page 85
InnovationInnovation
Apply knowledge to what is newApply knowledge to what is new
Page 86
Information handlersInformation handlers
Page 87
Information handlersInformation handlers
Knowledge workersKnowledge workers
(solve problems + Add value )(solve problems + Add value )
Page 88
Work harderWork harder
Page 89
Work harderWork harder
Work smarterWork smarter
Page 90
KM KM ( Hibbard 1997 )( Hibbard 1997 )
Gathering firm’s collective expertiseGathering firm’s collective expertise
Page 91
KM KM ( Hibbard 1997 )( Hibbard 1997 )
Gathering firm’s collective expertiseGathering firm’s collective expertise Data basesData bases
Page 92
KM KM ( Hibbard 1997 )( Hibbard 1997 )
Gathering firm’s collective expertiseGathering firm’s collective expertise Data basesData bases BooksBooks
Page 93
KM KM ( Hibbard 1997 )( Hibbard 1997 )
Gathering firm’s collective expertiseGathering firm’s collective expertise Data basesData bases BooksBooks ProcessesProcesses
Page 94
KM KM ( Hibbard 1997 )( Hibbard 1997 )
Gathering firm’s collective expertiseGathering firm’s collective expertise Data basesData bases BooksBooks ProcessesProcesses People’s mindsPeople’s minds
Page 95
KM KM ( Hibbard 1997 )( Hibbard 1997 )
Gathering firm’s collective expertiseGathering firm’s collective expertise Data basesData bases BooksBooks ProcessesProcesses People’s mindsPeople’s minds Distribute to places for biggest Distribute to places for biggest
payoff.payoff.
Page 96
KM KM ( Sveiby2000 )( Sveiby2000 )
Art of creating value Art of creating value
Page 97
KM KM ( Sveiby2000 )( Sveiby2000 )
Art of creating value Art of creating value From company’s intangible assetsFrom company’s intangible assets
Page 98
KM KM ( Brooking 1996 )( Brooking 1996 )
Accumulating knowledge assetsAccumulating knowledge assets
Page 99
KM KM ( Brooking 1996 )( Brooking 1996 )
Accumulating knowledge assetsAccumulating knowledge assets Use effectively for competitive Use effectively for competitive
advantage.advantage.
Page 100
Why KM now ?Why KM now ?
Page 101
Time span of competitive Time span of competitive advantageadvantage
Page 102
Type writersType writers
Page 103
High speed of informationHigh speed of information
Page 104
Two faces of Two faces of ii explosion explosion
Page 105
300 million pages on Internet 300 million pages on Internet
( 1999 )( 1999 )
Page 106
300 million pages on Internet 300 million pages on Internet
( 1999 )( 1999 )
1 billion pages on Internet1 billion pages on Internet
(2002)(2002)
Page 107
Knowledge is key value added Knowledge is key value added in products and servicesin products and services
Page 108
Knowledge values more than Knowledge values more than physical assetsphysical assets
Page 109
Tobin’s Q formulaTobin’s Q formula
Page 110
GM’sGM’s = $30 billion= $30 billion ( 2000 )( 2000 )
Page 111
GM’sGM’s = $30 billion= $30 billion ( 2000 )( 2000 )
GM’sGM’s = $405 billion= $405 billion ( 1999 )( 1999 )
Page 112
MSMS = $361 billion= $361 billion ( 2000 )( 2000 )
Page 113
MSMS = $361 billion= $361 billion ( 2000 )( 2000 )
MSMS = $37 billion= $37 billion ( 2000 ) ( 2000 )
Page 114
Total valueTotal value
Page 115
Total value – Tangible assetsTotal value – Tangible assets
Page 116
Total value – Tangible assets Total value – Tangible assets
= =
Knowledge assetKnowledge asset
Page 117
GlobalizationGlobalization
Page 118
Today’s business world not Today’s business world not dealingdealing
withwith
ConsumersConsumers
Page 119
ProsumerProsumer
Page 120
ProsumerProsumer
Aware of their needsAware of their needs
Page 121
ProsumerProsumer
Aware of their needsAware of their needs
ActiveActive
Page 122
ProsumerProsumer
Aware of their needsAware of their needs
ActiveActive
Give feed backGive feed back
Page 123
No more No more
knowledge hoardingknowledge hoarding
Page 124
Early retirementsEarly retirements
Page 125
Early retirementsEarly retirements Rapid job changesRapid job changes
Page 126
Early retirementsEarly retirements Rapid job changesRapid job changes Tense working environmentTense working environment
Page 127
Early retirementsEarly retirements Rapid job changesRapid job changes Tense working environmentTense working environment DownsizingDownsizing
Page 128
Roots of KMRoots of KM
Page 129
Roots of KMRoots of KM
BusinessBusiness
Page 130
Roots of KMRoots of KM
BusinessBusiness EconomicsEconomics
Page 131
Roots of KMRoots of KM
BusinessBusiness EconomicsEconomics PsychologyPsychology
Page 132
Roots of KMRoots of KM
BusinessBusiness EconomicsEconomics PsychologyPsychology InformationInformation
Page 133
KM involvesKM involves
Page 134
KM involvesKM involves
PeoplePeople
Page 135
KM involvesKM involves
PeoplePeople ProcessesProcesses
Page 136
KM involvesKM involves
PeoplePeople ProcessesProcesses TechnologyTechnology
Page 137
KM processesKM processes
Creation of knowledgeCreation of knowledge
Page 138
KM processesKM processes
Creation of knowledgeCreation of knowledge
Distribution of knowledgeDistribution of knowledge
Page 139
KM processesKM processes
Creation of knowledgeCreation of knowledge
Distribution of knowledgeDistribution of knowledge
Application of knowledgeApplication of knowledge
Page 140
Existence before useExistence before use
Page 141
Creation of knowledgeCreation of knowledge
Page 142
Existing resourcesExisting resources
Page 143
Fostering environmentFostering environment
Page 144
PackagesPackages
Page 148
Social networksSocial networks
Page 149
Distributing knowledgeDistributing knowledge
Page 150
Good distribution systemGood distribution system
Page 151
Good distribution systemGood distribution system
Early findingEarly finding
Page 152
Good distribution systemGood distribution system
Early findingEarly finding
Proper packagingProper packaging
Page 153
Good distribution systemGood distribution system
Early findingEarly finding
Proper packagingProper packaging
Timely deliveryTimely delivery
Page 154
Early findingEarly finding
Page 155
Locate the sourceLocate the source
Page 156
DocumentsDocuments
Page 157
ProcessesProcesses
Page 159
Proper packagingProper packaging
Page 160
Right form Right form
Page 161
Right contextRight context
Page 162
RegionalRegional
Page 163
CulturalCultural
Page 164
FunctionalFunctional
Page 165
Enable employeeEnable employee
to find to find
what he needswhat he needs
Page 166
Timely deliveryTimely delivery
Page 167
Push technologyPush technology
Page 168
Push technologyPush technology
Avoid over loadingAvoid over loading
Page 169
Pull technologyPull technology
Page 170
Pull technologyPull technology
Avoid extra informationAvoid extra information
Page 171
Application of knowledgeApplication of knowledge
Page 172
MedicineMedicine
Page 173
The Holy QuranThe Holy Quran
Page 174
Application Application
IsIs
Creation of valueCreation of value
Page 176
Proper shapeProper shape
Page 177
Easy to understandEasy to understand
Page 178
Compatible Compatible
with with
work environmentwork environment
Page 179
Motivated employeeMotivated employee
Page 180
Suits Suits
employees job requirementemployees job requirement
Page 181
Requirements AlignedRequirements Aligned
with with
Company’s objectivesCompany’s objectives
Page 182
Educate employeesEducate employees
Page 183
Tacit knowledgeTacit knowledge
50% to 95%50% to 95%
Page 184
Fuel Fuel
for for
Innovation & Creativity engineInnovation & Creativity engine
Page 185
Only competitive advantageOnly competitive advantage
Page 186
inin
Unpredictable business Unpredictable business environmentenvironment
Page 188
Vision without actionVision without action
Page 189
Action without visionAction without vision
Page 190
Vision with action can change Vision with action can change the worldthe world
Arthur BarkerArthur Barker
Page 191
System analystSystem analyst
Page 192
System analystSystem analyst
Knowledge developerKnowledge developer
Page 193
Tacit knowledgeTacit knowledge
Page 194
Explicit knowledgeExplicit knowledge
Page 195
Nonaka’s model of KCNonaka’s model of KC
Page 196
Nonaka’s model of KCNonaka’s model of KC
Tacit to tacit communicationTacit to tacit communication
( socialization )( socialization )
DiscussionsDiscussions
Page 197
Nonaka’s model of KCNonaka’s model of KC
Tacit to explicit communicationTacit to explicit communication
( externalization )( externalization )
BrainstormingBrainstorming
Page 198
Nonaka’s model of KCNonaka’s model of KC
Explicit to explicit communicationExplicit to explicit communication
( communication )( communication )
TechnologyTechnology
Page 199
Nonaka’s model of KCNonaka’s model of KC
Explicit to tacit communicationExplicit to tacit communication
( internalization )( internalization )
Deduce idea from reportDeduce idea from report
Page 200
Evaluating expertEvaluating expert
Page 201
Levels of expertiseLevels of expertise
Page 202
Levels of expertiseLevels of expertise
Highly expertHighly expert
Page 203
Levels of expertiseLevels of expertise
Highly expertHighly expert
Moderate expertModerate expert
Page 204
Levels of expertiseLevels of expertise
Highly expertHighly expert
Moderate expertModerate expert
New expertNew expert
Page 205
Single expertsSingle experts
More expertsMore experts
Page 206
Understanding expert styleUnderstanding expert style
Page 207
Holding of sessionsHolding of sessions
Page 208
Understanding experienceUnderstanding experience
Page 209
Language problemLanguage problem
Page 210
Type of interviewsType of interviews
Page 211
Arrangement of questionsArrangement of questions
Page 212
Reliability of informationReliability of information
Page 213
Response biasResponse bias
Page 214
InconsistencyInconsistency
Page 215
Ending the interviewEnding the interview
Page 216
Other techniquesOther techniques
Page 217
On-site observationOn-site observation
Page 218
Brain stormingBrain storming
Page 219
Electronic brain stormingElectronic brain storming
Page 220
Consensus decision makingConsensus decision making
Page 221
The Delphi methodThe Delphi method
Page 222
Concept mappingConcept mapping
Page 223
Black boardingBlack boarding
Page 224
Knowledge transferKnowledge transfer
Page 225
Knowing-doing gapKnowing-doing gap
Page 226
Atmosphere of trustAtmosphere of trust
Page 227
Push reasoning before processPush reasoning before process
Page 228
Do than talkDo than talk
Page 229
Tolerate mistakes for learningTolerate mistakes for learning
Page 230
Cooperation & CollaborationCooperation & Collaboration
NotNot
CompetitionCompetition
Page 231
Asses job satisfactionAsses job satisfaction
Page 232
Collective sequential transferCollective sequential transfer
Page 233
Explicit inter team transferExplicit inter team transfer
Page 234
InternetsInternets
Page 235
IntranetsIntranets
Page 236
ExtranetExtranet
B2BB2B
Page 237
Chat roomsChat rooms
Page 238
Video communicationVideo communication
Page 240
Organizational learningOrganizational learning
Page 241
Organizational learningOrganizational learning
Company’s collective abilityCompany’s collective ability
ToTo
Page 242
Organizational learningOrganizational learning
Company’s collective abilityCompany’s collective ability
ToTo
Absorb informationAbsorb information
AndAnd
Page 243
Organizational learningOrganizational learning
Company’s collective abilityCompany’s collective ability
ToTo
Absorb informationAbsorb information
AndAnd
Learn from informationLearn from information
Page 244
RICE modelRICE model
Page 245
RICE modelRICE model
ResponsivenessResponsiveness
Page 246
RICE modelRICE model
ResponsivenessResponsiveness
InnovationInnovation
Page 247
RICE modelRICE model
ResponsivenessResponsiveness
InnovationInnovation
CompetencyCompetency
Page 248
RICE modelRICE model
ResponsivenessResponsiveness
InnovationInnovation
CompetencyCompetency
EfficiencyEfficiency
Page 249
CreativityCreativity
Emerges when existing solutions Emerges when existing solutions
No longer serve the purposeNo longer serve the purpose
Page 250
InnovationInnovation
Are responses to challenging problemsAre responses to challenging problems