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DATA. Facts about situation. Neutral. Right data should be collected. Data should be updated regularly. Raw material extracted from environment. Cash register. Aero plane traveling. Cooking a cake. Contextualized. Structured. Categorized. Condensed. When we add

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When we add

something to data







A find and send easily

A

Find and send easily


C format and organize

C

Format and organize


T current for up dated decisions

T

Current for up-dated decisions


Complete understanding of information

Complete understanding

Of

Information

















20 th century

20th Century


Information know how

Information + Know-how



Information know how1

Information + Know-how







Car owner s manual travelers guide

Car owner’s manual

Travelers guide








Know what how things work know who experts

Know - what ( How things work )

+

Know - who ( Experts )








Changing information expertise best solution

Changing information

+

Expertise

=

Best solution





Knowledge assets2
Knowledge assets

  • Data

  • Information


Knowledge assets3
Knowledge assets

  • Data

  • Information

  • Expressed knowledge


Knowledge assets4
Knowledge assets

  • Data

  • Information

  • Expressed knowledge

  • Expressible knowledge


Knowledge assets5
Knowledge assets

  • Data

  • Information

  • Expressed knowledge

  • Expressible knowledge

  • Inexpressible knowledge


Management knowledge assets

Management

?

Knowledge assets


Convert

information into knowledge

?


Apply knowledge

For

Value addition and competitive advantage

?




Historical overview1
Historical overview

  • Master to apprentice in ancient times.


Historical overview2
Historical overview

  • Master to apprentice in ancient times.

  • Aristotle.


Historical overview3
Historical overview

  • Master to apprentice in ancient times.

  • Aristotle.

  • Nonaka.


Historical overview4
Historical overview

  • Master to apprentice in ancient times.

  • Aristotle.

  • Nonaka.

  • Data storages


Historical overview5
Historical overview

  • Master to apprentice in ancient times.

  • Aristotle.

  • Nonaka.

  • Data storages.

  • Artificial intelligence. ( speech, language )


Historical overview6
Historical overview

  • Master to apprentice in ancient times.

  • Aristotle.

  • Nonaka.

  • Data storages.

  • Artificial intelligence. ( speech, language )

  • Expert systems. (cloning of human reasoning )


Historical overview7
Historical overview

  • Master to apprentice in ancient times.

  • Aristotle.

  • Nonaka.

  • Data storages.

  • Artificial intelligence. ( speech, language )

  • Expert systems. (cloning of human reasoning )

  • Neural networks ( input-output pathways )


Historical overview8
Historical overview

  • Master to apprentice in ancient times.

  • Aristotle.

  • Nonaka.

  • Data storages.

  • Artificial intelligence. ( speech, language )

  • Expert systems. (cloning of human reasoning )

  • Neural networks ( input-output pathways )

  • Information explosion.



Production

Apply knowledge to what we already do


Innovation

Apply knowledge to what is new



Information handlers

Knowledge workers

(solve problems + Add value )



Work harder

Work smarter


Km hibbard 1997
KM ( Hibbard 1997 )

  • Gathering firm’s collective expertise


Km hibbard 19971
KM ( Hibbard 1997 )

  • Gathering firm’s collective expertise

  • Data bases


Km hibbard 19972
KM ( Hibbard 1997 )

  • Gathering firm’s collective expertise

  • Data bases

  • Books


Km hibbard 19973
KM ( Hibbard 1997 )

  • Gathering firm’s collective expertise

  • Data bases

  • Books

  • Processes


Km hibbard 19974
KM ( Hibbard 1997 )

  • Gathering firm’s collective expertise

  • Data bases

  • Books

  • Processes

  • People’s minds


Km hibbard 19975
KM ( Hibbard 1997 )

  • Gathering firm’s collective expertise

  • Data bases

  • Books

  • Processes

  • People’s minds

  • Distribute to places for biggest payoff.


Km sveiby2000
KM ( Sveiby2000 )

  • Art of creating value


Km sveiby20001
KM ( Sveiby2000 )

  • Art of creating value

  • From company’s intangible assets


Km brooking 1996
KM ( Brooking 1996 )

  • Accumulating knowledge assets


Km brooking 19961
KM ( Brooking 1996 )

  • Accumulating knowledge assets

  • Use effectively for competitive advantage.






Two faces of i explosion

Two faces of i explosion



300 million pages on internet 1999 1 billion pages on internet 2002

300 million pages on Internet

( 1999 )

1 billion pages on Internet

(2002)






Gm s 30 billion 2000 gm s 405 billion 1999

GM’s = $30 billion ( 2000 )

GM’s = $405 billion ( 1999 )



Ms 361 billion 2000 ms 37 billion 2000

MS = $361 billion ( 2000 )

MS = $37 billion ( 2000 )








Prosumer

Aware of their needs


Prosumer

Aware of their needs

Active


Prosumer

Aware of their needs

Active

Give feed back


No more

knowledge hoarding







Roots of km1
Roots of KM

  • Business


Roots of km2
Roots of KM

  • Business

  • Economics


Roots of km3
Roots of KM

  • Business

  • Economics

  • Psychology


Roots of km4
Roots of KM

  • Business

  • Economics

  • Psychology

  • Information



Km involves1
KM involves

  • People


Km involves2
KM involves

  • People

  • Processes


Km involves3
KM involves

  • People

  • Processes

  • Technology


Km processes
KM processes

  • Creation of knowledge


Km processes1
KM processes

  • Creation of knowledge

  • Distribution of knowledge


Km processes2
KM processes

  • Creation of knowledge

  • Distribution of knowledge

  • Application of knowledge














Good distribution system

Early finding

Proper packaging


Good distribution system

Early finding

Proper packaging

Timely delivery













Enable employee

to find

what he needs




Push technology

Avoid over loading



Pull technology

Avoid extra information





Application is creation of value

Application

Is

Creation of value





Compatible with work environment

Compatible

with

work environment



Suits employees job requirement

Suits

employees job requirement


Requirements aligned with company s objectives

Requirements Aligned

with

Company’s objectives



Tacit knowledge 50 to 95

Tacit knowledge

50% to 95%


Fuel for innovation creativity engine

Fuel

for

Innovation & Creativity engine



In unpredictable business environment

in

Unpredictable business environment







System analyst

Knowledge developer





Nonaka s model of kc1
Nonaka’s model of KC

Tacit to tacit communication

( socialization )

Discussions


Nonaka s model of kc2
Nonaka’s model of KC

Tacit to explicit communication

( externalization )

Brainstorming


Nonaka s model of kc3
Nonaka’s model of KC

Explicit to explicit communication

( communication )

Technology


Nonaka s model of kc4
Nonaka’s model of KC

Explicit to tacit communication

( internalization )

Deduce idea from report




Levels of expertise1
Levels of expertise

  • Highly expert


Levels of expertise2
Levels of expertise

  • Highly expert

  • Moderate expert


Levels of expertise3
Levels of expertise

  • Highly expert

  • Moderate expert

  • New expert






































Organizational learning1
Organizational learning

Company’s collective ability

To


Organizational learning2
Organizational learning

Company’s collective ability

To

Absorb information

And


Organizational learning3
Organizational learning

Company’s collective ability

To

Absorb information

And

Learn from information



Rice model1
RICE model

Responsiveness


Rice model2
RICE model

Responsiveness

Innovation


Rice model3
RICE model

Responsiveness

Innovation

Competency


Rice model4
RICE model

Responsiveness

Innovation

Competency

Efficiency


Creativity
Creativity

Emerges when existing solutions

No longer serve the purpose


Innovation
Innovation

Are responses to challenging problems


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