Capturing Tacit Knowledge B. Information Technology (IS) CISB454: Introduction to Knowledge...
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Transcript of Capturing Tacit Knowledge B. Information Technology (IS) CISB454: Introduction to Knowledge...
Capturing Tacit Knowledge
B. Information Technology (IS)CISB454: Introduction to Knowledge Management
Learning Objectives
At the end of this lesson, you should be able to: define and describe the knowledge
capture process identify experts discuss the pros and cons of using
single vs. multiple experts use interview as a knowledge
capture tool identify sources of errors and
problems in interview
4-2
Capturing Tacit Knowledge
The Knowledge Capture Process
4-4
Iterative
KM System Life Cycle
Evaluate Existing Infrastructure
Knowledge Capture
Design KMS Blueprint
Verify and Validate the KM System
Implement the KM System
Manage Change and Rewards Structure
Form KM Team
Post-system evaluation
Knowledge CaptureDefinition
A process by which the expert’s thoughts and experiences are captured
A knowledge develo-per collaborates with an expert to convert expertise into a coded program
Knowing how experts know what they know
4-5
Knowledge CaptureImproving Knowledge Capture
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
4-6
Capturing Tacit Knowledge
Identifying Experts
Identifying ExpertsExpert’s Qualifications
Knows when to follow hunchesSees big picturePossesses good communication
skillsTolerates stressThinks creativelyExhibits self-confidenceMaintains credibility
8
Expert’s Qualifications
Operates within a schema-driven orien-tation
Uses chunked knowledgeGenerates motivation and
enthusiasmShares expertise willinglyEmulates a good teacher’s
habits
9
Capturing Tacit Knowledge
Single vs. Multiple Experts
Using a Single ExpertAdvantages
Ideal when building a simple KM system
A problem in a re-stricted domain
Easier coordination for knowledge cap-ture
4-11
Using a Single ExpertAdvantages
Conflicts are easier to resolve
Shares more confi-dentiality than does multiple expert
4-12
Using a Single ExpertDrawbacks
Expert’s knowledge is not easy to cap-ture
Single expert pro-vides only a single line of reasoning
4-13
Using a Single ExpertDrawbacks
Single expert more likely to change scheduled meetings than experts in a team
Expert knowledge is sometimes disper-sed
4-14
Using Multiple ExpertsAdvantages
Complex problem domains benefit from expertise of more than one expert
Working with mul-tiple experts stimu-lates interaction
4-15
Using Multiple ExpertsAdvantages
Allow alternative ways of representing knowledge
Formal meetings of-ten a better environ-ment for generating thoughtful contribu-tions
4-16
Using Multiple ExpertsDrawbacks
Scheduling difficulties
Disagreements often occur among experts
Confidentiality issuesRequires more than
one knowledge deve-loper
Process loss in deter-mining a solution
4-17
Developing a Relationship With Experts
Create the right im-pression
Do not underesti-mate the expert’s experience
Prepare well for the session
Decide where to hold the session
4-18
Styles of Expert’s Expressions
Procedure type methodical approach to the
solutionStoryteller
focuses on the content of the domain at the expense of the solution
4-19
Styles of Expert’s Expressions
Godfather compulsion to take over the
sessionSalesperson
spends most of the time explaining his or her solution is the best
4-20
Approaching Multiple Experts
IndividuallyPrimary and
Secon-dary Start with the
senior expert first
on down to others in the hierarchy
4-21
Approaching Multiple Experts
Small groups each expert tested against
expertise of others in the group
4-22
Watch Out! Analogies and Uncertainties
Experts use analogies to explain events
Expert’s knowledge is the ability to take uncertain information and use a plausible line of reasoning to clarify the fuzzy details
4-23
Watch Out! Analogies and Uncertainties
Reliable knowledge capture requires understanding and interpreting expert’s verbal description of information, heuristics, etc.
4-24
Capturing Tacit Knowledge
Interview as a Knowledge Capture
Tool
The Interview as a Tool
Commonly used in the early stages of tacit knowledge cap-ture
The voluntary nature of the interview is important
4-26
The Interview As a Tool
Interviewing as a tool requires training and preparation
Convenient tool for evaluating the vali-dity of information acquired
4-27
Types of Interviews
Structured Questions and responses are
definitive Used when specific information is
soughtSemi-structured
Predefined questions are asked but allow expert some freedom in expressing the answers
4-28
Types of Interviews
Unstructured Neither the questions nor their
responses specified in advance Used when exploring an issue
4-29
Variations of Structured Questions
Multiple-choice questions offer specific choices, faster tabulation, 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
4-30
Guide to a Successful Interview
Set the stage and establish rapport
Properly phrase the questions
Question construction is important
Listen closely and avoid arguments
Evaluate session out-comes
4-31
Things to Avoid
Taping the session without permission from the expert
Converting the inter-view into an inter-rogation
4-32
Things to Avoid
Interrupting the ex-pert
Asking questions that put the domain expert on the defen-sive
Losing control of the session
4-33
Things to Avoid
Pretending to under-stand an explana-tion when you actu-ally don’t
Promising some-thing that cannot be delivered
Bring items not on the agenda
4-34
Capturing Tacit Knowledge
Errors and Problems in Interview
Sources of Error that Reduce Information ReliabilityExpert’s
perceptual slantExpert’s failure
to remember just what happened
Expert’s fear of the unknown
Communication prob-lems
Role bias
4-36
Errors Made by the Knowledge Developer
Age effectRace effectGender effect
4-37
Problems Encountered During Interview
Response biasInconsistencyCommunication
difficultiesHostile attitudeStandardized
questionsLengthy
questionsLong interview
4-38
THE END
Copyright © 2010 Mohd. Sharifuddin Ahmad, PhD
College of Information Technology