CHALLENGES IN
BUILDING KM SYSTEMS:
·
Changing Organization Culture :
Changing an
organization’s culture is one of the most difficult leadership challenges.
That’s because an organization’s culture comprises an interlocking set of
goals, roles, processes, values, communications practices, attitudes and
assumptions.
Example: The World Bank represents a particularly difficult case of
organizational culture change. Its formal goal—development—is ambiguous.
·
Knowledge Evaluation : Knowledge evaluation
offers a systematic process which aims to provide an overview of the needs of
your employees, their ideas as well as available approaches in your
organization.
·
Knowledge Processing: Knowledge Processing include all kinds of research and information
gathering.
·
Knowledge Implementation: Knowledge
implementation means whatever lessons
learned from feedback can be stored for future to help others facing the
similar problems .
Compare
Conventional System Life Cycle and KM System Life Cycle :
·
A conventional system is sequential (certain steps are
carried out in sequence), while the knowledge management system life cycle is
incremental and interactive.
·
In the conventional system, testing generally occurs at the
end of programming, while the knowledge management development life cycle
provides for testing throughout various phases of system development as the
system evolves.
·
The conventional system is process-driven and
documentation-oriented, with emphasis on the flow of data, while the knowledge
management development life cycle is result-oriented.
·
The conventional system does not support rapid prototyping
or advanced languages, while the knowledge management development life cycle
promotes rapid prototyping and incorporates changes on the spot.
Along with these differences,
however, are many similarities as well:
·
Both cycles begin with a problem and end with a solution.
·
Both cycles require the initial gathering of information
(conventional) or knowledge (KMSDLC) for the process to begin and ending up
with a tested system ready for use.
·
Both the knowledge developer and the systems analyst need to
choose a tool to design the system.
Stages of Knowledge Management System LC:
There are eight stages of KM System Life Cycle each
stage is discussed below in detail:
Evaluate Existing Infrastructure:
To know the
basic infrastructure we need to evaluate the existing system. Evaluate the
knowledge for new system so the system work well.
System Justification:
The system must be
answerable for these questions:
·
What kind of knowledge going to loss (Tacit knowledge)?
·
Need to evaluate according to the location?
·
Expects are not willing what we will to do.?
·
Does that knowledge require expertise?
Feasibility done in a specific time. Feasibility study addresses several questions:
·
Is the project doable? Affordable? Appropriate? Practicable?
·
Traditional approach to conducting a feasibility study could be useful
in building KM system. It involves several task:
·
Form a KM Team
·
Prepare a master plan
·
Evaluate cost/performance of the proposed KM system.
·
Quantify system criteria & cost (rating scale)
Consider breadth and depth of the project within financial, human resource, & operational constraints.
Example :Looking at scoping is to consider constraints
such as money, time, and talent. For
example, if a system that is supposed to take four months to complete has a
deadline of three months, the developer will have to scope the project around
the deadline, either by working late nights or by cutting corners to provide
enough of a system to do the job within the time constraint.
Start working without idea. Strategic planning is needed to achieves the goals of organization and the proposed system must considered the areas:
·
Vision: Trying to achieve /Will have to be done.
·
Resources: Check affordability of the business.
·
Culture: Political culture (In political culture we have co operative
and non-cooperative people).
Form
the KM Team:
The criteria
for selecting the team is same as the
selection of team for any project development like:
Size of team
, Complexity of project , Leadership and Promising what we delivered.
Role of
Rapid Prototyping:
·
Screenshots
·
Show limited functionality to the experts
·
Example: Diagnosis any disease – cannot diagnose just
if expert is satisfied then diagnose the system.
Expert
Selection:
·
Excellent communication skill.
·
Past year experience , feedbacks from others make decisions easy.
·
Continue or leave.
·
Experts not willing to help how to find the backup(Relay on the second
best expert).
·
Experts in its specific domain.
·
One knows the expert in in fact an expert through its skills and interest
in his/her particular area.
·
Stay or move to other places (user).
·
Backup and replacement.
·
One knows what is and what is not within the expert’s area of expertise
by identifying the expertise of that expert.
Role of
Knowledge Developer : (System Analyst)
·
Able to plan everything ( Conceptually)
·
Ability to interact with champions.
·
Knower- decide whether solving is correct or not.
Knowledge
Capture
Extracting , analyzing or interpreting the knowledge.Knowledge
capture & transfer are often carried out in teams, not just through
individuals. Capture includes determining feasibility, choosing the expert,
tapping the expert’s knowledge, and tapping the knowledge to plug gaps in the
system & to verify and validate the knowledge base after the system is in
operation. A competent & cooperative expert is essential to the success of
knowledge capture.
Example: Data mining –
hidden facts.
Design
the KM Blueprint
·
The KM system design (blueprint) addresses
several issues:
- System interoperability and
scalability with existing company IT infrastructure.
- Finalize scope of proposed KM
system with realized net benefits.
- Decide on required system
components.
- Develop the key layers of the
KM architecture to meet company requirements.
·
Key
Layers are:
User interface, Authentication/security layer ,Collaborative agents
and filtering , Application layer , Transport Internet , Physical layer.
·
Testing
the KM System
Verification determines if the
system was built right, while validation ensures that the correct system
was built to meet the user’s expectations.
·
Implement
the KM System:
Covert
the KM system into actual operation. Verify and validate the KM system , also
review of system is involved in this phase.
Some
facts also involved in implementation,
Quality assurance:
Training the users: Novice
users / Supported by user manuals, explanatory facilities and job aids.
Managing change:
Usually resist change.
·
Quality assurance is important,
which includes checking for:
- Reasoning errors: based on
experiments.(subjective measures)
- Ambiguity (uncertainty)
- Incompleteness: Missing data.
- False representation (false positive and false negative): Something is true or false , force it is true or false.
Manage Change and Rewards Structure:
·
Experts
:Share
knowledge getting the rewards or not.
·
Users: Employees share
knowledge get the rewards or accomplishment.
·
Troublemakers: Come from change-
involve them in training sessions etc.
·
Projection: Example manual to automation.
·
Avoid aggression: Not willing to use system.
Post-system
Evaluation:
· Decision making tasks
are improved or not.
· Need change in the
system(How)
· New person is welcome
and train in a good manner.
· Implication for
Knowledge Management:
· Long- range strategic
planning.
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