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KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University [email protected] http://mysite.dlsu.edu.ph/ faculty/sisonr

KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University [email protected]

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Page 1: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

KNOWLEDGE MANAGEMENTKnowledge Fundamentals

Raymund Sison, PhDCollege of Computer Studies

De La Salle University

[email protected]://mysite.dlsu.edu.ph/faculty/sisonr

Page 2: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

CSC707M (Knowledge Management) Dr. Raymund Sison 2

Data

Data Raw, unprocessed record of an aspect of an event

A particular sale of a particular item on a particular day

Page 3: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

CSC707M (Knowledge Management) Dr. Raymund Sison 3

Data vs. Information

Data Raw, unprocessed record of an aspect of an event

A particular sale of a particular item on a particular day

Information Processed data Daily sale of a particular item

Page 4: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

CSC707M (Knowledge Management) Dr. Raymund Sison 4

Data vs. Information vs. Knowledge

Data Raw, unprocessed record of an aspect of an event

A particular sale of a particular item on a particular day

Information Processed data Daily sale of a particular item

Knowledge Actionable information (Drucker, 1999)

Daily sale of a particular item has been increasing steadily for the past six months, and…

Drucker, P. (1999). Management Challenges for the 21st Century. New York: HarperCollins

Page 5: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

CSC707M (Knowledge Management) Dr. Raymund Sison 5

Activity 1

Form groups (according to the project groupings).

Each group formulates answers to the question, “What makes information actionable (i.e., what are needed for one to be able to act on information)?”

A representative from each group will share his/her group’s answers with the class.

Page 6: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Knowledge as Actionable Information

What makes information actionable? Experience Values Knowledge

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Knowledge as Actionable Information

What makes information actionable? Experience

• Improves judgment so that one is better able to… Know how to detect actionable information, i.e.,

to know whether to act on information one has received or perceived

Know how to search for actionable information

Page 8: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Knowledge as Actionable Information

Values, biases• Color judgment so that one’s judgment of

the actionability of information, or search for actionable information is either… Intensified Weakened

Page 9: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Knowledge as Actionable Information

Knowledge• Enables one to act on information judged to

be actionable, so that one knows… How to act (what to do) and when How to learn from this judgment and action, and

their consequences

Notice that there are 2 kinds of knowledge here: declarative and procedural.

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Kinds of Knowledge

Schemas Strategies

Concepts Rules

Facts Procedures Simple

Complex

ProceduralDeclarative

•Generalized or episodic•Common sense or specialized•Surface (textbook) or deep•Tacit or explicit

Page 11: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Kinds of Knowledge: Declarative vs. Procedural

Declarative Knowledge that describes “what”

• E.g., that quality is this company’s primary value; that quality is defined as conformance to the specific standards namely…; that quality is impacted by various factors such as…

Procedural Knowledge that describes “how”

• E.g., how to fill up a form, how to diagnose a problem, how to grow the company

Page 12: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Activity 2

With your group, discuss then write on the board the 3 most important pieces or chunks of knowledge that people in your client organization need in order to accomplish their knowledge work.

A representative from each group will discuss his/her group’s answers in front.

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Further Examples of Knowledge

Knowledge of a particular job• E.g., how to elicit and specify user

requirements; how to teach computer programming

Knowledge of how to make a product• E.g., the Coke formula

Knowledge of who knows what in a company

Page 14: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Further Examples of Knowledge

Knowledge of how to put together a team that can achieve a particular task

Knowledge of how to get things done in a company

Knowledge of a particular customer account

Knowledge of a country and its business customs

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Kinds of Knowledge

Schemas Strategies

Concepts Rules

Facts Procedures Simple

Complex

ProceduralDeclarative

•Generalized or episodic•Common sense or specialized•Surface (textbook) or deep•Tacit or explicit

Page 16: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Kinds of Knowledge:Simple to Complex

Fact Something that exists, actually

happened, or is true• E.g., 1+1=2; Manila is the capital of the

Philippines

Procedure Series of steps for accomplishing a task

• E.g., addition procedure, enrollment procedure

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Kinds of Knowledge:Simple to Complex

Concept A class of things that have the same

defining or characteristics attributes• E.g., integers, knowledge management

Rule (a.k.a. principle) A principle that guides behavior or the

ways things are done• E.g., “Find a balance between codification

and personalization.” Some rules are heuristic, e.g., “If it’s cloudy,

bring an umbrella.”

Page 18: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Kinds of Knowledge:Simple to Complex

Schema Structured clusters of interrelated

concepts• E.g., taxonomy, solar system model, ERD

Strategy A plan or method for achieving any

specific goal• E.g., business strategy, testing strategy, KM

strategy

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Kinds of Knowledge:Generalized vs. Episodic

Generalized (a.k.a. semantic knowledge)• Decontextualized knowledge of facts about

the entities and relations between entities in the world E.g., birds have wings

Episodic• Knowledge about events or entities that are

marked as happening at a particular time E.g., what I did last summer

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Kinds of Knowledge:Common Sense vs. Specialized

Common sense• E.g., Eat well to be well; knowledge about

healthy living

Specialized• E.g., Carbohydrates, protein, and fat must

be consumed in the following proportion 70:25:5; knowledge about healing the sick

Page 21: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Kinds of Knowledge:Surface vs. Deep

Surface (a.k.a. textbook knowledge) Knowledge that everyone (in a particular

field) knows• E.g., diagnosing the flu

Deep (a.k.a. expert knowledge) Knowledge that one only gains through

years of experience• E.g., detecting meningitis

Page 22: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Kinds of Knowledge:Explicit vs. Tacit (Polanyi)

Explicit Knowledge is easy to make available to

another for inspection• E.g., a recipe; a written explanation of a business

process

Tacit Knowledge that is very difficult to make explicit Some say that 90% of all organizational

knowledge is tacit• E.g., how to quickly convince people about an idea;

how to quickly elicit requirements from users

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Know-what

Know-how

Know-why

Care-why

Kinds of Knowledge:Know-what to Care-why (Quinn)

Quinn, J., Anderson, P. & Finkelstein, S. (1996). Managing Professional Intellect: Making the Most out of the Best, Harvard Business Review (1996), pp. 71-86.

Page 24: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Kinds of Knowledge:Know-what to Care-why (Quinn)

Know-what • Knowledge gained primarily through books

Know-how• Knowledge gained primarily through

experience

Know-why• Deep knowledge of complex cause-and-

effect relationships E.g., knowing just when to sell (stockbroker);

knowing the perfect moment to hit (baseball player)

Page 25: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Kinds of Knowledge:Know-what to Care-why (Quinn)

Care-why• Very deep knowledge that explains why

highly motivated, creative, and energetic groups and companies outperform larger corporations with more money and resources

• Exists in a company’s culture

• Most difficult (some say impossible) for a knowledge management system to support

Page 26: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Know-what

Know-how

Know-why

Care-why

Where do you think would most companies be?

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KM Pyramid (Rosenberg)

Level 2: Information Creation, Sharing, and Management

Level 3: Enterprise Intelligence

Level 1: Document Management Documents stored online; Online access & retrieval

Capturing & distributing expert stories; communication & collaboration

Building expert networks; performance support

Rosenberg, M. (2000). E-Learning: Strategies for Delivering Knowledge in the Digital Age. New York: McGraw-Hill.

Page 28: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Knowledge Representationfor Level-3 KM

Four major knowledge representation approaches: Logical

• Example: first-order predicate logic

Procedural• Example: if-then rules

Network• Examples: semantic networks, conceptual

dependencies

Structured• Examples: frames, scripts, objects

Page 29: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Predicate Logic Example

father(abraham,isaac). father(isaac,jacob). father(jacob,judah). father(jacob,joseph).

XY(father(X,Z)father(Z,Y)grandfather(X,Y))

XY(father(X,Y)ancestor(X,Y))XY(father(X,Z)ancestor(Z,Y)ancestor(X,Y))

Questions: Is Isaac the father of Jacob? Who is the grandfather of Jacob?Who are the children of Jacob? Who are the ancestors of Jacob?

Facts

Rules

Page 30: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Production Rules Example

FactsRules

Page 31: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Another Production Rule Example

Rule 578:

IF[1] the infection which requires therapy is

meningitis, and[2] organisms were not seen on the stain of the

pending csf culture (CULTURE-1), and[3] the type of the infection may be bacterial, and[4] the patient has been seriously burned

THEN there is suggestive evidence that Pseudomonas-

aeruginosa is one of the organisms (other than those seen on cultures or smears) which might be causing the infection

Page 32: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Semantic Network Example

Page 33: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Conceptual Dependency Example

Page 34: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Frames Example

Page 35: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Script Example

Page 36: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

CSC707M (Knowledge Management) Dr. Raymund Sison 36

Script Example

Page 37: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

CSC707M (Knowledge Management) Dr. Raymund Sison 37

Script Example

Page 38: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

CSC707M (Knowledge Management) Dr. Raymund Sison 38

Activity 3

With your group, choose one of the 3 most important chunks of knowledge earlier identified by your group.

Describe and represent part of this knowledge using any combination of the 4 knowledge representation approaches.

A representative from each group will discuss his/her group’s answers in front.

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Knowledge and Knowledge Workers

Who are knowledge workers? Workers who rely on considerable

knowledge to perform their tasks Workers whose productivity are

determined by 6 factors (Drucker):• Understanding of what his or her task is

This is not as clear as it may seem In contrast, a manual worker knows what the

task is. His/her main question is how do best perform this task.

Drucker, P. (1999). Management Challenges for the 21st Century. New York: HarperCollins.

Page 40: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Knowledge and Knowledge Workers

• Degree of autonomy• Continuing innovation (as part of the

knowledge worker’s task and responsibility)• Continuous learning and teaching• Quality as well as quantity of output• Knowledge worker’s being treated as an

“asset” rather than a “cost” Knowledge worker must want to work for the

organization in preference to all other opportunities

Page 41: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Knowledge and Knowledge Organizations

Some definitions: KO = knowledge intensive organization =

one for which knowledge is greater in value than traditional assets

KO = an organization that views knowledge as at least equal in value to traditional assets

KO = one in which the value added of employees is the knowledge they possess

Page 42: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Knowledge and Knowledge Organizations

Examples: High-tech firms Engineering organizations Research laboratories Consulting houses Marketing organizations Sales organizations Software organizations

Page 43: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

CSC707M (Knowledge Management) Dr. Raymund Sison 43

Knowledge and Knowledge Organizations

Organizations that work on a ‘project’ basis, e.g., lawyers

Recruitment/head hunter organizations

Page 44: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

CSC707M (Knowledge Management) Dr. Raymund Sison 44

Knowledge Economy

Economy in which a/the main driving force is knowledge (a.k.a. high-tech).

Page 45: KNOWLEDGE MANAGEMENT Knowledge Fundamentals Raymund Sison, PhD College of Computer Studies De La Salle University sisonr@dlsu.edu.ph

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Debate

In general, knowledge management is NOT cost-beneficial to implement in the Philippines.

Debate mechanics:• Round 1: T1-T2-Disc

• Round 2 (Rebuttal): T2-T1-Disc

• Round 3 (Conclusion): T1-T2

• Panel: Review, decision, justification