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SEN-455Knowledge Based Management System

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(1)

SEN-455

Knowledge Based

Management System

(2)

Capturing Tacit Knowledge

(3)

Chapter Objectives

• The Knowledge Capture Process

• How To Identify Experts

• Single vs. Multiple Experts (Pros and Cons)

• Interview As Knowledge Capture Tool

• Sources of Errors and Problems in Interview

(4)

Stages of KMSLC

Evaluate Existing Infrastructure

Knowledge Capture

Design KM Blueprint

Verify and validate the KM System

Implement the KM System

Manage Change and Rewards Structure Form the KM Team

Iterative Rapid Prototyping

(5)

What Is Knowledge Capture ?

• A process by which the expert’s thoughts and experiences are captured

• A knowledge developer

collaborates with an expert to convert expertise into a coded program

• In simple terms, we want to

“know” how experts know what they know

(6)

Three important steps

• Use an appropriate tool or

technique to elicit information from the expert

• Interpret the information and

conclude the expert’s knowledge and reasoning process

• Use the interpretation to build rules that represent expert’s solutions

(7)

Improving the Knowledge Capture Process

• Focus on how experts approach a problem

• Look beyond the facts or the heuristics

• Re-evaluate how well the problem domain is

understood

• How accurate the problem is modeled

(8)

Experts qualifications

• The expert should know when to follow ideas, and when to make exceptions.

• The expert should be able to see the big picture.

• The expert should posses good communication skills.

• The expert should be able to tolerate stress.

• The expert should be able to think creatively.

• The expert should be able to exhibit self-confidence in his/her thought and actions.

(9)

• The expert should use chunked knowledge.

• The expert should be able to generate interest as well as motivation.

• The expert should share his/her expertise freely and without hesitation.

• The expert should emulate an ideal teacher's habits.

Experts qualifications

(10)

• Highly expert persons.

• Moderately expert problem solvers.

• New experts.

Experts levels of expertise:

(11)

Using a Single Expert

Advantages:

• Ideal when building a simple KM system

• A problem in a restricted domain

• Easier to coordinate meetings

• Conflicts are easier to resolve

• Shares more confidentiality than does multiple experts

(12)

Using a Single Expert (cont’d)

Disadvantages:

• Sometimes expert’s knowledge is not easy to capture

• Single expert provides only a single line of reasoning

• Expert knowledge is sometimes dispersed

• Single expert more likely to change scheduled meetings than experts in a

(13)

Using Multiple Experts

Advantages:

• Complex problem domains benefit from expertise of more than one expert

• Working with multiple experts stimulates interaction

• Allow alternative ways of representing knowledge

• Formal meetings often a better environment for generating

thoughtful contributions

(14)

Using Multiple Experts (cont’d)

Disadvantages:

• Scheduling difficulties

• Disagreements often occur among experts

• Confidentiality issues

• Requires more than one knowledge developer

• Overlapping mental processes can

(15)

Developing a Relationship With Experts

• Create the right impression

• Understanding the expert’s style

• Prepare well for the session

• Decide where to hold the

session

(16)

Approaching Multiple Experts

• Individual

– An extension of single expert approach

•Primary and secondary

– Start with the senior expert first, on down to others in the hierarchy

•Small groups

– Each expert tested against expertise of others in the

(17)

Styles of expert’s expressions

• Procedure type—methodical approach to the solution

• Storyteller—focuses on the content of the domain at the expense of the

solution

• Godfather—compulsion to take over the session

• Salesperson—spends most of the time

(18)

• Experts use analogies

(similarities) to explain events

• Expert’s knowledge is the ability to take uncertain information and use a

believable line of reasoning to

Analogies and Uncertainties in

Information

(19)

• Reliable knowledge capture requires understanding and interpreting

expert’s verbal description of information, heuristics, etc.

• For example, words like possible,

likely, and definite show relationships between words and belief

Analogies and Uncertainties in

Information (cont’d)

(20)

The Interview As a Tool

• Commonly used in the early stages of tacit

knowledge capture

• The voluntary nature of

the interview is important

(21)

The Interview As a Tool (cont’d)

• Interviewing as a tool requires training and preparation

• Convenient tool for

evaluating the validity of

information acquired

(22)

Types of Interviews

• Structured: Questions and responses are definitive.

Used when specific information is required

• Semi-structured: Predefined questions are asked but allow expert some freedom in expressing the answers

• Unstructured: Neither the questions nor their responses specified in advance. Used when exploring an issue

(23)

Variations of Structured Questions

• Multiple-choice questions offer specific choices, faster arrangement, and less bias by the way answers are ordered

• Dichotomous (yes/no) questions are a special type of multiple-choice question

• Ranking scale questions ask expert to arrange items in a list in order of their important or preference

(24)

Guide to a Successful Interview

• Set the stage and establish understanding

• Properly phrase the questions

• Question construction is important

• Listen closely and avoid arguments

• Evaluate session outcomes

(25)

Things to Avoid

• Recording a session without advance permission from the expert

• Converting the interview into an interrogation

• Interrupting the expert

• Asking questions that put the domain expert on the

defensive

(26)

Things to Avoid (Cont’d)

• Losing control of the session

• Pretending to understand an explanation when you

actually don’t

• Promising something that cannot be delivered

• Bring those items, which not

on the agenda

(27)

Sources of Error that Reduce Information Reliability

• Expert’s perceptual view

• Expert’s failure to remember just what happened

• Expert’s fear of the unknown

• Communication problems

(28)

Developer

• Age effect

• Race effect

• Gender effect

(29)

Problems Encountered During the Interview

• Response bias

• Inconsistency

• Communication difficulties

• Hostile attitude

• Standardized questions

• Lengthy questions

• Long interview

References

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