4. What is Knowledge?
4
Data
Information
Knowledge
Wisdom
Data: A set of isolated
observations; in itself
possess no inherent
meaning
Information: Data
endowed with relevance &
purpose
Knowledge: Actionable
Information
Wisdom: Cumulative
knowledge tempered by
experience
6. Example from Stock Market
Data: Individual quotes of various shares on the stock
market
Information: Analyzed data of share prices, e.g.:
Price of a specific share in my portfolio gone up by 3%
from the previous day
Knowledge: Actionable information, e.g.
It is better to sell a share when the targeted
appreciation has been achieved. Identify under-valued
shares with good potential and buy them when market
is down.
Wisdom: Insights distilled from experience
I burnt my fingers! I will never invest in the stock
market again!
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7. Tacit and Explicit Knowledge
Explicit Knowledge
Codified
Documented
Can be transmitted
Tacit Knowledge
Perceptive
Ill-defined/ dormant
Can’t be transmitted
unless explicated
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9. Simple forms of KM
Manual records and files
Computer-resident files, folders, databases,
pictures
Copy & Paste from existing documents to create
new documents
Sharing knowledge/ information through e-mails
Push strategy: Forwarding information which
might be relevant
Pull strategy: Use of search engines on internet
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10. More professional forms of KM
KM Portals maintaining Knowledge Assets (e.g.,
Wipros, Infosys)
Ask the Expert (e.g., Buckmann Laboratories)
Skill Inventories (e.g., Microsoft)
Communities of Practice (e.g., Tata Steel)
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11. What is KM?
Creation, communication and application of
knowledge in an organisation
What is learnt becomes property of the organisation
even if individuals leave
“Learn once, Use anywhere”
(Slogan of Infosys KM)
“Don’t reinvent the wheel”
(Slogan of Airtel)
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12. KM System at Wipros
KNET: Repository of All Documents, Proceses &
Knowledge Assets generated by employees during work
KoNnEcT: Directory of Experts in various technologies
Reusable Components: Ready-to-use Templates, Reusable
Code, tools & methods
War Room Portal: Used for on-line collaboration in
preparing proposals for large scale projects
Project Databank: Contains detailed information about
closed projects
Saving of 10 person-days per proposal for work
Saving of 140 person-days in a project with an estimated
340 person-days effort
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13. KM at Infosys, Microsoft, Tata SteelInfosys:
K-Shop/ Bodies of Knowledge
Expert-locator
Microsoft:
On-line competence structure for global operations
Tata Steel
Blast Furnace Example
Ask-the-Expert
K-Portal
K-Manthan
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14. KM at Buckmann Laboratories
Knetix: Problem of Pitch Control in paper-making
11 responses from 6 different countries
Helped in securing a contract of US$ 6 million from
Indonesian Paper Mill
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16. 16
Link View of Internal & External Knowledge BaseLink View of Internal & External Knowledge Base
17. Most Admired Knowledge Enterprises
(MAKE)
Initiated by “Teleos”, an independent knowledge
management research firm
Indian MAKE study established in 2005
http://www.knowledgebusiness.com
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18. Dimensions of a Knowledge Enterprise in
MAKE Framework
Knowledge-driven culture
Developing knowledge workers
Developing knowledge-based products
Maximizing enterprise intellectual capital
Creating an environment for collaborative
enterprise knowledge sharing
Creating a learning organization
Delivering value based on customer knowledge
Transforming enterprise knowledge into
shareholder value
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Knowledge-
intensive Products
19. Select MAKE 2007 Winners – Global (in
alphabetical order)
Apple Computers
Ernst & Young
General Electric
Google
IBM
Infosys
Intel
McKinsey
Microsoft
Nokia
Samsung Group
Wikipedia
Wipro
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20. MAKE 2007 Winners -- India
(alphabetical order)
Bharti Airtel
Eureka Forbes
Infosys Technologies
Larsen & Toubro – E & C Division
Mind Tree Consulting
Satyam Computer Services
Tata Consultancy Services
Tata Steel
Wipro Technologies
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22. Properties of Knowledge Leaders
Focus on Competence Building
Tight linkage among stakeholders
Diversity of human resources
High extent of pervasion of ICT
Larger export markets and High Technology Products
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23. 23
USA
5% of World Population
290 m people
28% of World GDP
China
22% of World Population
1.3 bn people
5% of World GDP
India
18% of World Population
1 b people
2% of World GDP
EU
8% of World Population
460 m people
31% of World GDP
Source:
Deutsche Bank
Research
25. 25
Survival Class:
• School Drop-outs/ Never-gone-to-school
• Distress sale of limited knowledge/skills
• Poor Quality of Life
Political Class
High Profile Business
UM
Middle
Lower Middle
TProfessionals/ Entrepreneur
Professionals
High Salaried Professionals
– Corporate Sector
Salaried Professionals –
Middle Mgt. Levels
Businessmen/small firms
Govt. Servants
Blue collar workers
Class IV Staff
Small shopkeepers
Casual -- Urban
Rural workers
Typology of Indian Society
27. Annual GDP Growth (%) 7
Human Development Index 0.611
Tariff & Nontariff Barriers 51.2
Regulatory Quality -0.34
Rule of Law 0.09
Royalty Payments and Receipts (US$/pop.) 0.4
Technical Journal Articles / Mil. People 12
Patents Granted by USPTO / Mil. People 0.3
Adult Literacy Rate (% age 15 and above) 61
Gross Secondary Enrollment Rate 53.5
Gross Tertiary Enrollment Rate 11.8
Total Telephones per 1,000 People 127.7
Computers per 1,000 People 15.5
Internet Users per 1,000 People 54.8
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28. Most Admired Knowledge
Cities
MAKCi Awards in line with MAKE Awards
Initiated by Teleos and World Capital Institute
To identify cities/ regions which are leaders in
bringing together intellectual capital and knowledge
workers supported by ICT Infrastructure
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