Upload
sumit-sharma
View
228
Download
0
Embed Size (px)
Citation preview
7/29/2019 capturing knowldge
1/41
7/29/2019 capturing knowldge
2/41
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
Other data capturing techniques
7/29/2019 capturing knowldge
3/41
A process by which theexperts thoughts andexperiences are captured
A knowledge developercollaborates with an expertto convert expertise into acoded program
In simple terms,we want toknow how experts knowwhat they know
7/29/2019 capturing knowldge
4/41
Use an appropriate tool ortechnique to elicitinformation from the expert
Interpret the informationand infer the expertsknowledge and reasoningprocess
Use the interpretation tobuild rules that representexperts solutions
7/29/2019 capturing knowldge
5/41
Advantages: Ideal when building a
simple KM system A problem in a restricted
domain Easier to coordinatemeetings Conflicts are easier to
resolve Shares more
confidentiality than doesmultiple experts
7/29/2019 capturing knowldge
6/41
Disadvantages:
Sometimes experts knowledge is noteasy to capture
Single expert provides only a singleline of reasoning
Expert knowledge is sometimesdispersed
Single expert more likely to changescheduled meetings than experts in ateam
7/29/2019 capturing knowldge
7/41
Advantages: Complex problem domains
benefit from expertise of morethan one expert
Working with multiple expertsstimulates interaction
Allow alternative ways ofrepresenting knowledge
Formal meetings often a better
environment for generatingthoughtful contributions
7/29/2019 capturing knowldge
8/41
Disadvantages:
Scheduling difficulties
Disagreements often occur
among experts Confidentiality issues
Requires more than one knowledgedeveloper
Overlapping mental processes canlead to process loss
7/29/2019 capturing knowldge
9/41
Commonly used in theearly stages of tacitknowledge capture
Thevoluntary nature ofthe interview is important
7/29/2019 capturing knowldge
10/41
Interviewing as a toolrequires training andpreparation
Convenient tool forevaluating the validity ofinformation acquired
7/29/2019 capturing knowldge
11/41
Structured: Questions and responses aredefinitive. Used when specific information issought
Semi-structured: Predefined questions are askedbut allow expert some freedom in expressing theanswers
Unstructured: Neither the questions nor their
responses specified in advance. Used whenexploring an issue
7/29/2019 capturing knowldge
12/41
Multiple-choice questions offer specific choices,faster tabulation, and less bias by the way
answers are ordered
Dichotomous (yes/no) questions are a specialtype of multiple-choice question
Ranking scale questions ask expert to arrangeitems in a list in order of their important orpreference
7/29/2019 capturing knowldge
13/41
Age effect
Race effect
Gender effect
7/29/2019 capturing knowldge
14/41
Response bias
Inconsistency
Communication difficulties Hostile attitude
Lengthy questions
Long interview
7/29/2019 capturing knowldge
15/41
On-site Observation (Action Protocol)
Brainstorming (Conventional & Electronic)
Consensus Decision Making
Nominal Group Technique
Delphi Method
Repertory Grid
Concept Mapping Blackboarding
7/29/2019 capturing knowldge
16/41
Process of observing, interpreting,and recording experts problem-solving behaviour as it takes place
Places the knowledge developercloser to the actual steps andprocedures used by the experts
7/29/2019 capturing knowldge
17/41
Problems: Some experts do not like to be
observed
Reactions from peers duringobservation can be distracting
Accuracy or completeness ofcaptured knowledge weakenedbytime gapbetweenobservation and recording
7/29/2019 capturing knowldge
18/41
An unstructured, consensus-based approach to generatingideas about a problem
Suitable for multiple experts
All possible solutions consideredequally
Goal is to foster the frequency ofresponses during the session
Conclude by idea evaluation
7/29/2019 capturing knowldge
19/41
Introduce and coordinate the brainstorming session
Give experts a problem to consider
Prompt experts to generate ideas
Watch for signs of convergence
Call for a vote to reach agreement
7/29/2019 capturing knowldge
20/41
Computer-aided approach tobrainstorming
Promote instant exchange ofideas between experts
Anonymity reduces effects ofshyness, etc.
Shorter meeting with concise
recommendations
7/29/2019 capturing knowldge
21/41
An example of a software supporting E-brainstorming
A session can present a number of electronicsheets to collect ideas from the participants.
7/29/2019 capturing knowldge
22/41
5-
Participants enter ideas in one sheet whilereading ideas that have already been entered.
Knowledge developer provides guidance onexactly how this activity will function.
7/29/2019 capturing knowldge
23/41
Think-aloud approach
Expert verbalizes while going through a problemsolution
Protocols are recorded and analyzed Knowledge developer does not interfere in the
solving process
Structuring of recorded information occurs when
knowledge developer analyzes the protocols.
7/29/2019 capturing knowldge
24/41
Consensus is a process for group decision-making
Input of all participants are gathered andsynthesized to arrive at a final decision,
that is acceptable to all Through consensus, not only achieve better
solutions, but also promote communityand trust
As a tool, it follows brainstorming
7/29/2019 capturing knowldge
25/41
A proposal for resolution is put forward
Amend and modify proposal through discussion
Those participants who disagree with the proposal havethe responsibility to put forward alternative proposals
The one who put forward the proposal, with help offacilitator, can choose to withdraw proposal if seems tobe dead end.
7/29/2019 capturing knowldge
26/41
When a proposal seems to be well understood and nonew changes asked for, the facilitator confirm anyobjections
If no objections, the facilitator can call for consensus
If there are still no objections, then after a moment ofsilence, you have the decision
If consensus appears to have reached, the facilitatorrepeats the decision so everyone is clear
7/29/2019 capturing knowldge
27/41
An idea writing technique
A structured variation of small
group discussion method Prevents the domination by a
single expert
Encourages the more passiveexperts to participate
NWRI-USA 2003
7/29/2019 capturing knowldge
28/41
Divide the people present into small groups of5 or 6 members, sitting around a table
State an open-ended question (What are some
ways we could encourage people to car pool?) Have each Person spend several minutes in
silence individually brainstorming all possibleideas and write these ideas down
Have each group, collect the ideas by sharingthem in a round-robin fashion, while recordingthem on a flipchart
7/29/2019 capturing knowldge
29/41
Have each Person evaluate the ideas andanonymously vote for the best ones (e.g., bestidea gets 8 points, next best 7 points, third best6 points, etc)
Share votes within the group and tabulate. Agroup report is prepared showing the ideashaving most points.
Allow time for brief group presentations ontheir solutions.
7/29/2019 capturing knowldge
30/41
Effective in minimizing differences in statusamong multiple experts
Each expert has an equal chance to expressideas in parallel with other experts in thegroup(s)
With the discussion proceeds in controlledorder, it can be more efficient and productivethan brainstorming
7/29/2019 capturing knowldge
31/41
Technique can be time consuming
Could promote impatience among experts who
must listen to discussions with other experts
With multiple experts sharing expertise, a causeof difficulty in adopting the best solution
7/29/2019 capturing knowldge
32/41
A survey of experts
A series of questionnairesdeveloped to pool experts
responses in solving a difficultproblem
Each experts contributionsshared with rest of experts byusing results of onequestionnaire to construct thenext questionnaire
7/29/2019 capturing knowldge
33/41
ProsAnonymous response
Controlled feedback
Cons Poorly designed questionnaire can be
ineffective in capturing the complexity of theproblem domain
7/29/2019 capturing knowldge
34/41
An expert conceptualizes the problem using hisor her own model
Grid used to facilitate the capture and
evaluation of the experts modelA representation of the experts reasoning
about a particular problem
A grid can be a scale or a bipolar construct onwhich elements are placed within gradations
7/29/2019 capturing knowldge
35/41
Construct T1 T2 T3 T4 T5 T6
A. Inexperience 3 3 1 1 1 1
B. Academically
Ill-qualified
2 1 2 1 1 3
C. Poor
Appearance3 2 1 2 1 3
D. Not punctual 2 3 2 3 1 1
E. Introverted2 3 2 2 1 1
Dixie
John
Barry
Curt
Lester
Joanne
Scale: 1 to 3
Job Interview Rating Repertory Grid
(Example)
7/29/2019 capturing knowldge
36/41
Benefit: may prompt the expert to thinkmore concretely about the problem and how
to solve it. Drawback: difficult to manage when large
grids are accompanied by complex details
Because of complexity and manageability, thetool is normally used in the early stages ofknowledge capture
7/29/2019 capturing knowldge
37/41
A network of concepts, consisting of nodes andlinks
A node represents a concept and a link representsthe relationship between concepts.
An effective approach to: design a complex structure (Web sites)
generate or communicate ideas (e.g., duringbrainstorming)
7/29/2019 capturing knowldge
38/41
7/29/2019 capturing knowldge
39/41
Participants are assumedexperts with uniqueexperience
Each expert has equalchance to contribute tothe solution via theblackboard
Process continues untilthe problem has beensolved
Join Information Technologies 2003
7/29/2019 capturing knowldge
40/41
Participants share a common protocol forinteraction
Organized participation
Iterative approach to problem solving
Efficient storage and location of information
7/29/2019 capturing knowldge
41/41
Reference Book: KM by Awad and Ghaziri