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وزارة التعليم
الجامعة السعودية اإللكترونية
Kingdom of Saudi Arabia
Ministry of Education
Saudi Electronic University
College of Administrative and Financial Sciences
Assignment 2
Knowledge Management (MGT 403)
Due Date: 02/11/2024 @ 23:59
Course Name: Knowledge Management
Student’s Name:
Course Code: MGT403
Student’s ID Number:
Semester: First
CRN:
Academic Year:2024-25-1st
For Instructor’s Use only
Instructor’s Name:
Students’ Grade:
Marks Obtained/Out of 10
Level of Marks: High/Middle/Low
General Instructions – PLEASE READ THEM CAREFULLY
•
•
•
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•
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The Assignment must be submitted on Blackboard (WORD format only) via allocated
folder.
Assignments submitted through email will not be accepted.
Students are advised to make their work clear and well presented, marks may be reduced
for poor presentation. This includes filling your information on the cover page.
Students must mention question number clearly in their answer.
Late submission will NOT be accepted.
Avoid plagiarism, the work should be in your own words, copying from students or other
resources without proper referencing will result in ZERO marks. No exceptions.
All answered must be typed using Times New Roman (size 12, double-spaced) font. No
pictures containing text will be accepted and will be considered plagiarism).
Submissions without this cover page will NOT be accepted.
ASSIGNMENT-2
Knowledge Management (MGT-403)
First Semester (2024-2025)
Course Learning Outcomes-Covered
Define the different Knowledge types and explain how they are addressed by knowledge
management in different business environments.
Identify and analyse role of communities of practice in knowledge management and the challenges
and issues pertaining to community of practice.
Demonstrate effective knowledge management skills to utilize knowledge management tools for the
benefits of the organization.
The focus of the assignment is to evaluate the understanding level of students related to communities
of Practice, learning organization, and various techniques used to capture tacit and explicit knowledge.
Please read chapter 3, chapter 4, and chapter 5.
Assignment Questions
Q.1: “The Wiig KM model is based on the principle that in order for knowledge to be
useful and valuable, it must be organized through a form of semantic network that is
connected, congruent, and complete and has perspective and purpose.” Explain in
detail. (Chapter 3 Wiig’s KM Model) (2 Marks)
Q.2: In what ways is the Choo and Weick KM model like the Nonaka and Takeuchi KM
model? In what ways do they differ? (Chapter 3 Choo and Weick and Nonaka and Takeuchi KM Models)
(2 Marks)
Q.3: Discuss in detail any two techniques of capturing tacit Knowledge? (Chapter 4
Knowledge Capture and Codification) (2 Marks)
Q. 4: Read chapter 5 (Knowledge Sharing and Communities of Practice) and answer the
following questions.
a). Explain the concept of communities of practice. (1 mark)
b). Will it be fruitful for the organization to cultivate the communities of practice? If
yes, What steps must be taken by the organization to cultivate them. (1 mark)
c). Discuss the concept of skill mining, social network analysis, and Knowledge support
office. (2 Marks)
Answers
1. Answer2. Answer3. Answer-
Knowledge Management in
Theory and Practice
Week 1: Introduction
1
Course Information
Textbook: Knowledge Management in Theory and Practice. Second
Edition. MIT Press
General format of the course
Refer to course outlines
Three assignments
Lectures and small group activities (roughly 50/50)
Each lecture corresponds to a chapter in the text (e.g. lecture 1 – chapter 1)
To contact me: [email protected]
2
Week 1: Introduction to
Knowledge Management (KM)
Key KM concepts and their definitions
Tacit and explicit knowledge
Knowledge in action
Knowledge to create value
Write down your definition of knowledge managementthis will not be collected but you will refer back to your
definition in later classes
3
Introduction
When asked, most
company executives
say their greatest asset
is knowledge held by
their employees
They also state they
have no idea how to
manage this knowledge
4
From physical assets to
knowledge assets
Knowledge has now become more valuable
that physical “things”
SABRE reservation system vs. airplanes
Now – customer bill of rights, vouchers for
delayed flights – customer satisfaction (and
revenues) at an all-time low
5
Interdisciplinary Nature of KM
6
The 3 Generations of KM
1st Generation:
“if we only knew what we know”
IT
2nd Generation:
“if we only knew who knows about….”
PEOPLE
3rd Generation:
“if we could only organize our knowledge….”
CONTENT
7
Today’s Working Environment
Multi-lingual
Multi-site
Multi-cultural
More &
Faster
More
Global
KM
PC
More
Mobile
More
Connected
PC
Internet
PC
8
Increasing Complexity
Today’s work environment is more complex due to an
increase in the number of subjective knowledge items
we need to attend to everyday
Filtering over 200 emails, faxes, voicemail messages on a
daily basis – how to prioritize?
Having to “think on our feet” as expected response time has
greatly decreased as well
KM is a response to the challenge of trying to manage this
complexity amidst information overload
A “science of complexity”
Knowledge and entropy production have an inverse relationship
9
Hiring Scenario
You have been asked to hire an assistant
What sorts of things would you require from
human resources?
What questions would you ask HR?
What would you require from all applicants?
10
Applicant Information
Curriculum vitae (resume)
References
Test results (e.g. language, aptitude)
…..
11
Hiring Scenario Continued
You have selected 3 of the applicants to go
to the next stage – the interview.
Write down 3-4 questions that you would ask
of the candidate during the interview.
12
Applicant Information
Previous experience
Reason why they are applying
Role-playing or decision simulation
Request they demonstrate bilingualism
……
13
14
Explicit vs. Tacit Knowledge
Tacit Knowledge
Explicit Knowledge
files
80-85%
15-20%
active
passive
15
The ubiquitous “shared drive”
All organizations have them
They tend to be chaotically organized, if at all
Organizing principles tacit
Organize for me but what about others?
16
Shared Drive Organization:
Which one would you choose?
Folders:
•Sarah
•Peter
•Robert … one for
each employee
A
OR:
Folders:
•Project Apollo
•Task force on KM
•Proposal … one for
each collaborative
project
B
17
Next challenge: Preserving
valuable knowledge
Organizational “amnesia” or forgetting
The cost of lost knowledge:
Once upon a time we put a man
on the moon – today we can no
longer do so. The blueprints for the
Saturn booster are no longer at
NASA – the only rocket with enough
thrust to send a manned payload on
its way. The original Apollo workforce is long since retired … some
documents endure but they are
devoid of meaning (Petch, 1998)
NASA loses film of first moon
landing:
The original film of man’s first steps
on the moon have been lost. The
original tapes, although nowhere
near the standard of normal tv
transmission, would still be of far
better quality than the video we have.
NASA simply filed them away. And
as personnel retired or died, the
location of the tapes was forgotten.
18
Concept Analysis
A method to better understand (and
ultimately define) complex, subjective
and value-laden concepts
19
What is Knowledge
Management?
•
KM is the systematic, explicit and deliberate building, renewal and
application of knowledge to maximize an enterprise’s knowledge-related
effectiveness and returns from knowledge assets (K. Wiig)
•
KM is the process of capturing a company’s collective expertise wherever
it resides: in databases, on paper, in people’s heads – and distributing it to
wherever it can help produce the biggest payoff. (Hibbard)
•
KM is getting the right knowledge to the right people at the right time so
they can make the best decision (Petrash)
20
More KM Definitions
It is the attempt to recognize what is essentially a human asset buried in the
minds of individuals, and leverage it into an organizational asset that can be
accessed and used by a broader set of individuals on whose decisions the firm
depends. —Larry Prusak
KM applies systematic approaches to find, understand and use knowledge to
create value (O’Dell)
KM is the explicit control and management of knowledge within an
organization aimed at achieving the company’s objectives (van der Spek)
KM is the formalization of and access to experience, knowledge, and
expertise that create new capabilities, enable superior performance,
encourage innovation and enhance customer value (Beckman)
21
A Concept Analysis Exercise
What key attributes need to be present in a
definition of Knowledge Management?
What are some good examples?
What are some good “non” examples?
22
KM: Concept Definition
Key Attributes
1.
2.
3.
4.
5.
6.
7.
………….
………….
………….
………….
………….
………….
………….
KM is…examples
1.
2.
3.
4.
5.
6.
7.
………….
………….
………….
………….
………….
………….
………….
KM is not…ex
1.
2.
3.
4.
5.
6.
7.
………….
………….
………….
………….
………….
………….
………….
23
KM is:
A management philosophy that takes systematic
and explicit advantage of knowledge to make the
organization act more intelligently
Knowledge is used/applied for both operational and
strategic purposes
Ways to find, analyze, categorize critical
knowledge areas to make sure appropriate
knowledge is available when and where needed
24
KM is NOT….
KM is NOT power, it is how you use it that
matters!
KM is not archiving all existing explicit
knowledge
A set of isolated techniques without a common
framework
a different label for IT, HR or training
A command and control system for knowledge
25
Some examples
Here are some examples of concepts
analyzed by previous classes
Today – we will divide into smaller groups
and try out the concept analysis technique
26
The concept “digital library”
Synonyms, antonyms (not just a website, nor a webcast, nor
a database, nor a…)
Perspective of:
An organization that provides resources – – people
A collection of digital objects – – content
A technology – – container
Information-seeking different? (location-independent)
Subset of a traditional library? (electronic extension of a library)
(1) an organized collection of digital information.
(2) supports creation, maintenance, management, access to and
preservation of digital content
(3) information stored in digital format available over a network
27
The concept “being green”
Examples
Recycling
Composting
Carpooling
Bicycles
Carpooling
Conservation of resources
Pollution control
Political action
Decrease carbon footprint
Examples
Awareness
Regulations
Acting locally
Using alternative energy
sources
Sustainable transportation
Develop green technologies
Kyoto protocol
Recycle reduce reuse slogan
28
The concept “being green”
Negative Examples
Companies claiming to be
green fraudulently
waste
Excessive consumption
Short-term oriented
Laissez-faire attitude
Carbon tax credits
Carbon offsets
SUVs
Negative Examples
Ethanol gas
Paperless offices
Promotion campaign
Getting mileage out of
claiming to be green
Plastic bags
One-time use only
Climate change
Greenhouse effect
29
The concept “being green”
Attributes
Reduce the use of non-renewable resources
A lifestyle or state of mind that involves making a choice to act towards
sustainability
Local vs. global and individual vs. group
Communal resources and consumption
Attitude of an individual, organization or community that is conscientious
of the environment and dictates their choices and actions
Way of thinking about waste reduction, awareness of consumption at the
individual, corporate and community level – scalable anywhere in between
Collaboration
Social phenomenon
Social and political components
30
Try a Concept Definition
in groups of 4-5
Key Attributes
1.
2.
3.
4.
5.
6.
7.
………….
………….
………….
………….
………….
………….
………….
Topic is…examples
1.
2.
3.
4.
5.
6.
7.
………….
………….
………….
………….
………….
………….
………….
Topic is not…ex
1.
2.
3.
4.
5.
6.
7.
………….
………….
………….
………….
………….
………….
………….
Possible topics: “team player” or “user-friendly” or “professional” or “Web 2.0
31
Next:
Next: The KM Cycle
32
Knowledge Management in Theory
and Practice
Lecture 2: The Knowledge
Management Cycle
Overview
Major KM Cycles
Knowledge-Information Cycle (ACIIC
Knowledge Economy)
Meyer and Zack KM Cycle
Bukowitz and Wiliams
McElroy KM Cycle
Wiig KM Cycle
2
KM Cycle Processes
Knowledge Capture
Knowledge Creation
Knowledge Codification
Knowledge Sharing
Knowledge Access
Knowledge Application
Knowledge Re-Use
3
Knowledge-Information Cycle*
The ability to manage knowledge is
becoming ever more crucial in the
knowledge economy
Where creation and diffusion of knowledge are
increasingly important factors in competitiveness
Knowledge is a commodity now
Embedded in products, especially hi-tech products
Embedded in the tacit knowledge of highly mobile
employees
* Australian Centre for Innovation and International Competitiveness www.aciic.org.au
4
Knowledge Economy & the
Knowledge- Information Cycle
Some paradoxes of knowledge:
Using knowledge does not consume it
Transferring knowledge does not lose it
Knowledge is abundant, but the ability to use it
is scarce
Producing knowledge resists organization
Much of knowledge walks out the door at the
end of the day
5
Knowledge -Information Cycle/2
Need to systematically identify, generate, acquire,
diffuse, and capture the benefits of knowledge that
provide a strategic advantage
Clear distinction must be made between
information – which is digitizable, and knowledge –
which exists only in intelligent systems
Knowledge-information cycle looks at how information
is transformed into knowledge and vice versa via
creation and application processes
6
Knowledge-Information Cycle/3
7
Knowledge-Information Cycle
Processes
Establish appropriate information management systems and
processes
Identify and locate knowledge and knowledge sources within
the organization
Code knowledge (translate knowledge into explicit
information) to allow re-use economies to operate
Create networks, practices, and incentives to facilitate personto-person knowledge transfer where the focus is on the unique
solution
Add personal knowledge management to the organizational
repertoire (“corporate memory”)
8
M. Zack KM Cycle
9
Zack KM Cycle/2
10
Zack KM Cycle/3
The Meyers Zack model is an informationprocessing model
Adapted to knowledge content
Refinement step is a crucial one
Also – the notion of renewal
Based on notion of an information asset
11
KM Cycle Processes
Knowledge Capture
Knowledge Creation
Knowledge Codification and refinement
Knowledge Sharing
Knowledge Access
Knowledge Application
Knowledge Re-Use
12
McElroy KM Cycle
Formulate
Knowledge
Claim
Individual &
Group
Learning
Knowledge
Claim
Formulation
Codified
Knowledge
Claim
Knowledge
Claim
Evaluation
Information
Acquisition
13
McElroy KM Cycle/2
Information about:
•Surviving knowledge claim
•Falsified knowledge claim
•Undecided knowledge claim
Knowledge
Production
Organizational
Knowledge
14
McElroy KM Cycle/3
Organizational knowledge is held collectively in
both individuals and groups
Knowledge use either meets or fails to meet
business expectations
Matches lead to reuse
Mis-matches lead to adjustments in business
processing behaviour (learning)
Clear step where knowledge is evaluated and a
conscious decision is made as to whether or not it
should be incorporated into organizational memory
15
KM Cycle Processes
Knowledge Capture
Knowledge Creation
Knowledge Codification & Refinement
Knowledge Sharing
Knowledge Access
Knowledge Application
Knowledge Evaluation & Re-Use
16
Bukowitz and Williams
ASSESS
GET
USE
LEARN
Knowledge
CONTRIBUTE
BUILD/SUSTAIN
OR: DIVEST
17
Bukowitz and Williams /2
Get: seeking out information
Tacit and explicit
Being selective when faced with information
overload
Use: combine content in new and interesting
ways to foster innovation in the organization
Learn: learning from experiences
Creation of an organizational memory
18
Bukowitz and Williams/3
Contribute: motivate employees to post
what they have learned to a knowledge base
Link individual learning and knowledge to
organizational memory
Assess: evaluation of intellectual capital
Identify assets, metrics to assess them and link
these directly to business objectives
19
Bukowitz and Williams/4
Build and Sustain: allocate resources to
maintain knowledge base
Contribute to viability, competitiveness
Divest: should not keep assets that are no
longer of any business value
Transfer outside the organization e.g.
outsourcing
Patent, spin off companies etc.
20
KM Cycle Processes
Knowledge Capture
Knowledge Creation & Contribution
Selectively filter contributions
Knowledge Codification & Refinement
Knowledge Sharing
Knowledge Access
Knowledge Learning &Application
Knowledge Evaluation & Re-Use OR Divest
21
Wiig KM Cycle
Processes by which we build and use knowledge
As individuals
As teams (communities)
As organizations
How we:
Build knowledge
Hold knowledge
Pool knowledge
Apply knowledge
Discrete tasks yet often interdependent & parallel
22
Wiig KM Cycle/2
Build Knowledge
Hold Knowledge
Pool Knowledge
Use Knowledge
•Personal experience
•Formal education and training
•Intelligence sources
•Media, books, peers
•In people
•In tangible forms (e.g. books)
•KM systems (intranet, dbase)
•Groups of people- brainstorm
•In work context
•Embedded in work processes
23
Wiig KM Cycle/3
Build Knowledge
Hold Knowledge
Pool Knowledge
Use Knowledge
•Personal experience
•Formal education and training
•Intelligence sources
•Media, books, peers
•In people
•In tangible forms (e.g. books)
•KM systems (intranet, dbase)
•Groups of people- brainstorm
•In work context
•Embedded in work processes
24
Building Knowledge
Learning from all kinds of sources to:
Obtain Knowledge
Analyze Knowledge
Reconstruct (Synthesize) Knowledge
Codify and Model Knowledge
Organize Knowledge
25
Obtaining Knowledge
Create new knowledge
Research and development projects
Innovations, experimentation, trial and error
Reasoning with existing knowledge
Hire new people
Import knowledge from existing sources
Elicit knowledge from experts
Acquire from manuals, books, other documents
Transfer people between departments
Observe the real world
26
Analyzing Knowledge
Extract what appears to be knowledge from obtained
materials
Analyze transcripts, reports about new concepts
Listen to explanation and select key concepts
Abstract extracted material
Identify patterns to describe, estimate
Create explicit relations between knowledge elements
(e.g. causal, correlation, contribution nets)
Verify that extracted content is correct through
observation
27
Reconstruct (Synthesize)
Knowledge
Generalize analyzed materials to obtain broader
principles
Generate hypotheses to explain observed behaviour
in terms of causal factors
Establish conformance between new and existing
knowledge (validity, coherence)
Update total knowledge pool by incorporating new
knowledge
Discard old, false, outdated, no longer relevant knowledge
28
Codify and Model Knowledge
Represent knowledge in our minds by building
mental models
Model knowledge by assembling declarations and
relational statements into a coherent whole
Document knowledge in books and manuals
Encode knowledge into knowledge bases
(computerized KBS tools)
29
Organize Knowledge
Organize new knowledge for specific uses
E.g. sequence for diagnostics, help desk, FAQs
Organize new knowledge according to an
established framework
Categorize according to organizational standards
Taxonomy, ontology, official list of key words,
attributes, linguistic/translation guidelines….
30
Building Knowledge Examples
Market research
Focus groups
Surveys
Competitive intelligence
Data mining on customer preferences
Synthesis of lessons learned (what worked, what didn’t) –
generate hypotheses
Validate using customer satisfaction questionnaire and interviews
Document as training manual for marketing to this specific target
market
31
Wiig KM Cycle/4
Build Knowledge
Hold Knowledge
Pool Knowledge
Use Knowledge
•Personal experience
•Formal education and training
•Intelligence sources
•Media, books, peers
•In people
•In tangible forms (e.g. books)
•KM systems (intranet, dbase)
•Groups of people- brainstorm
•In work context
•Embedded in work processes
32
Holding Knowledge
In people’s minds, books, computerized knowledge
bases, etc.
Remember knowledge – internalize it
Cumulate knowledge in repositories (encode it)
Embed knowledge in repositories (within procedures)
Archive knowledge
Create scientific library, subscriptions
Retire older knowledge from active status in repository (e.g. store
in another medium for potential future retrieval – cd roms, etc.)
33
Holding Knowledge Examples
Company owns a number of proprietary methods and
recipes for making products
Some knowledge documented in the form of research
reports, technical papers, patents
Other tacit knowledge can be elicited and embedded in
the knowledge base in the form of know-how, tips,
tricks of the trade
Videotapes of specialized experts explaining various
procedures
Task support systems
34
Wiig KM Cycle/5
Build Knowledge
Hold Knowledge
Pool Knowledge
Use Knowledge
•Personal experience
•Formal education and training
•Intelligence sources
•Media, books, peers
•In people
•In tangible forms (e.g. books)
•KM systems (intranet, dbase)
•Groups of people- brainstorm
•In work context
•Embedded in work processes
35
Pooling Knowledge
Can take many forms such as discussions, expert networks and
formal work teams
Pooling knowledge consists of:
Coordinating knowledge of collaborative teams
Creating expert networks to identify who knows what
Assembling knowledge – background references from
libraries and other knowledge sources
Accessing and retrieving knowledge
Consult with knowledgeable people about a difficult problem, peer
reviews, second opinions
Obtain knowledge directly from a repository – advice, explanations
36
Pooling Knowledge Examples
An employee realizes he or she does not have the
necessary knowledge and know-how to solve a
particular problem
She contact others in the company who have had
similar problems to solve, consults the knowledge
repository and makes use of an expert advisory
system to help her out
She organizes all this information and has subject
matter experts validate the content
37
Wiig KM Cycle/6
Build Knowledge
Hold Knowledge
Pool Knowledge
Use Knowledge
•Personal experience
•Formal education and training
•Intelligence sources
•Media, books, peers
•In people
•In tangible forms (e.g. books)
•KM systems (intranet, dbase)
•Groups of people- brainstorm
•In work context
•Embedded in work processes
38
Using Knowledge
Use established knowledge to perform routine tasks, make
standard products, provide standard services
Use general knowledge to survey exceptional situations, identify
problem, consequences
Use knowledge to describe situation and scope problem
Select relevant special knowledge to handle situation, identify
knowledge sources
Observe and characterize the situation, collect and organize
information
Analyze situation, determine patterns, compare with others,
judge what needs to be done
39
Using Knowledge (con’t)
Synthesize alternative solutions, identify options, create new
solutions
Evaluate potential alternatives, appraise advantages and
disadvantages of each, determine risks and benefits of each
Use knowledge to decide what to do, which alternative to
select
Rank alternatives & test that each is feasible, acceptable
Implement selected alternative
Choose and assemble tools needed
Prepare implementation plan, distribute it, authorize team to proceed
with this solution
40
Using Knowledge – Examples
Expert mechanic encounters a new problem
Gathers info to diagnose and analyze
Synthesizes a list of possible solutions with the
tools he knows are available to him
Decides on the best option and uses it to fix the part
Non-routine tasks are approached in a different way
than familiar, standard ones
41
KM Cycle Processes
Knowledge Capture
Knowledge Creation & Contribution
Knowledge Codification & Refinement (inc. Sanitize) &
Reconstruction (e.g. synthesis)
Selectively filter contributions
Knowledge Modeling
Knowledge Sharing & Pooling
Knowledge Organization &Access
Knowledge Learning &Application
Knowledge Evaluation & Re-Use OR Divest
42
Five Critical Knowledge
Functions for each KM Cycle Step
Type of knowledge or skill involved
Securities trading expertise
Business use of that knowledge
Increase the value of a retirement fund portfolio
Constraint that prevents knowledge from being fully utilized
Expert will retire at the end of the year with no successor
Opportunities, alternatives to manage that knowledge
Elicit and codify knowledge before person retires
Expected value-added of improving the situation
Valuable knowledge is not lost to organization
43
Group activity
In small groups, discuss the following:
What knowledge object would you want next
year’s class to have? To re-use?
Go through the KM processes and see how you
would capture and make available to them
What would you have liked to have known
before coming to our program? Anything
unexpected? Surprises? Things you had to
discover….?
Can continue discussion online…
44
Some topics from previous
classes….
Workload
Student life in a new city
State of the profession – – wiki
Alumni, recent graduates, job statistics
Course information – satisfied with information that was
mailed out, that is on the website
Specific course information
tailored so students coming from diverse background (work, undergrad
degree, technological know needed for course, theoretical content etc.
provide demographic info on the incoming class
45
Next:
Selected knowledge management models
46
Knowledge Management in Theory
and Practice
Lecture 3: Selected Knowledge
Management Models
Week 3: Knowledge
Management Models
KM Models
Choo, Weick
Nonaka and Takeuchi
K. Wiig
Boisot
Beer and Bennet & Bennet
EFQM – European Foundation for Quality Model
Inukshuk Model
2
Choo and Weick KM Model
Knowing Organization Framework (Choo, C.W.
1998) – 2nd edition 2006
Model of KM that stresses sense making, knowledge
creation and decision making
How to select information elements that could feed into
the organizational actions
Organizational action results from the concentration and
absorption of information from the external environment
into each successive circle.
Each circle has an outside stimulus or trigger
3
Choo’s KM Model
Streams of
experience
1
Sense
Making
Shared meanings
Shared meanings
Knowledge
Creating
2
External
Information
& Knowledge
New knowledge,
new capabilities
Decision
Making
3
Goal-directed adaptive
behavior
Next
knowing
cycle
4
Choo’s KM Model/2
1. Meaning is socially constructed as information is filtered through
the sense making behaviour
2. Individuals create new knowledge about the external world
through the transformation of their individual knowledge into
shareable knowledge and information
3. A threshold is reached at some specific point when the
organization as a whole is prepared to act in a rational manner and
choose an alternative based upon the organizations goals,
objectives & strategy
4. Start the next cycle when the action chosen changes the external
environment and impacts ongoing decisions related to the original
choice
5
Choo’s KM Model/3
Streams of
experience
1
Sense
Making
Shared meanings
Shared meanings
Knowledge
Creating
2
External
Information
& Knowledge
New knowledge,
new capabilities
Decision
Making
3
Goal-directed adaptive
behavior
Next
knowing
cycle
6
Sense Making
Attempts to make sense of the information
streaming in from the external environment
Priorities are identified and used to filter the
information
Common interpretation is constructed by
individuals from the exchange and
negotiation of information fragments
combined with their previous experiences
7
Sense Making (con’t)
Karl Weick: theory of sense making to
describe how chaos is transformed into
sensible and orderly processes in an
organization through the shared
interpretation of individuals
Loosely coupled systems where individuals
construct their own representation of reality
Compare current with past events
8
Weick Theory of Sense Making
Sense making process in an organization
consists of four tightly integrated processes:
Ecological change
Enactment
Selection
Retention
9
Ecological Change
A change in the environment external to the
organization disturbs the flow of information
to the participants
This triggers an ecological change in the
organization
Organizational actors enact their
environment by attempting to closely
examine elements of the environment
10
Enactment
People try to:
Construct
Rearrange
Single out
Demolish
Many of the objective features of their surroundings,
make it less random, more orderly, by literally creating
their own constraints or rules
This clarifies the data & issues to be used for the
selection process
11
Selection & Retention
Individuals attempt to interpret the rationale for the
observed and enacted changes by making selections
The retention process furnishes the organization
with an organizational memory of successful sense
making experiences
Can be reused in the future to interpret new changes &
stabilize individual interpretations into an organizational
view of events and actions
Reduces uncertainty and ambiguity associated with
unclear, poorly defined info
12
Choo’s KM Model/4
Streams of
experience
1
Sense
Making
Shared meanings
Shared meanings
Knowledge
Creating
2
External
Information
& Knowledge
New knowledge,
new capabilities
Decision
Making
3
Goal-directed adaptive
behavior
Next
knowing
cycle
13
Knowledge Creating
Transformation of personal knowledge
between individuals
Dialogue
Discourse
Sharing
Storytelling
14
Knowledge Creating (con’t)
Directed by a knowledge vision of AS IS (current) and
TO BE (future)
Widens the spectrum of potential choices in decision
making through new knowledge and new competences
The result feeds the decision making process with
innovative strategies that extend the organization’s
capability to make informed, rational decisions
Choo draws upon the Nonaka & Takeuchi model for a
theory of knowledge creation
15
Choo’s KM Model/5
Streams of
experience
1
Sense
Making
Shared meanings
Shared meanings
Knowledge
Creating
2
External
Information
& Knowledge
New knowledge,
new capabilities
Decision
Making
3
Goal-directed adaptive
behavior
Next
knowing
cycle
16
Decision Making
Rational decision making models used to identify
and evaluate alternatives by processing the
information and knowledge collected to date
Variety of decision making theories
Theory of games and economic behaviour
Chaos theory, complexity theory, emergent theory
Bounded rationality theory
Garbage can theory
17
Bounded Rationality Theory
First proposed by H. Simon a limited or
constrained rationality:
The capacity of the human mind for formulating
and solving complex problems is very small
compared with the size of the problems whose
solution is required for objectively rational
behaviour in the real world – – or even for a
reasonable approximation to such objective
rationality (Simon, H.A 1957, p. 198)
18
Bounded Rationality Theory/2
When confronted with a highly complex world, the
mind constructs a simple mental model of reality
and tries to work within that model
Even though the model may have weaknesses, the
individual tries to behave rationally within it
Individuals can be bound in a decisional process by:
Limited in intelligence, skills, habits and responsiveness
Availability of personal information and knowledge
Values and norms which may be different from the org.
19
Bounded Rationality Theory/3
This theory has long been accepted in
organizational and management sciences
Characterized by individuals’ uses of:
Limited information analysis, evaluation, and
processing
Shortcuts and rules of thumb (heuristics)
“Satisficing” (good enough, 80/20 rule, not
necessarily optimization)
20
The Nonaka-Takeuchi Model
of Knowledge Management
“In an economy where the only certainty is
uncertainty, the one sure source of lasting
competitive advantage is knowledge.”
I. Nonaka
The problem is that few managers understand how to
manage the knowledge-creating company
Focus on ‘hard’ or quantifiable knowledge
See KM as information processing machine
21
Nonaka & Takeuchi/2
The authors studied successful Japanese companies
to try to identify how they achieved creativity and
innovation
Found it was more than mechanistically processing
objective information
Depending on highly subjective insights
Slogans, metaphors, symbols
Holistic model of knowledge creation and management
of “serendipity”
22
Nonaka & Takeuchi:
The Spiral of Knowledge
Knowledge creation always begins with the individual
Brilliant researcher has an insight that leads to a new patent
Middle manager has intuition of market trends and becomes
the catalyst for an important new product concept
Shop floor worker draws on years of experience to come up
with a process innovation that saves $$$$
In each case, an individual’s personal knowledge is
translated into valuable organizational knowledge
23
The Basis for the Nonaka –
Takeuchi Model
Making personal knowledge available to others in
the company is at the core of this model of KM
It takes place continuously
It takes place at all levels of the organization
Individual
Groups
Company-wide
Can be unexpected
E.g. home bread-making machine innovation
24
Explicit vs. Tacit Knowledge
Explicit Knowledge
Tacit Knowledge
files
80-85%
15-20%
active
passive
25
Nonaka and Takeuchi Model
Tacit
Explicit
Tacit
Explicit
..
26
Nonaka & Takeuchi – the
Knowledge Spiral Model
Tacit
Explicit
Tacit
Socialization
Brainstorming
Coaching
Explicit
Externalization
Capturing
Sharing
Internalization:
Internalization
Understanding
Learning
Combination:
Systemizing
Classifying
27
Tacit to Tacit Transformation
Individual to individual(s)
Apprenticeship
Mentoring
Observation
Shadowing
Imitation
Practice
Brainstorming
Coaching
Apprentice may learn from the master, but the knowledge
remains tacit & is not leveraged across the organization
28
Tacit to Explicit
Transformation
Able to articulate the knowledge, know-how
Can be written, videotape, audiotape format
Often need intermediary to capture this
knowledge – a journalist, a workshop…
It now exists in a tangible form
It can now be more easily shared with others and
leveraged throughout the organization
29
Explicit to Explicit
Transformation
Can combine discrete pieces of tangible
knowledge into a new form
E.g. a synthesis in the form of a report, a
comparative evaluation, a new database
Simply a new combination of existing
knowledge – no new knowledge is created
It is easiest to convert from the same type of knowledge – tacit
to tacit and explicit to explicit – harder to change the type
30
Explicit to Tacit
Transformation
As new knowledge is shared throughout the
organization, employees now begin to
internalize it
They use it, broaden it, extend it and reframe
their own existing tacit knowledge base
They learn – they do their jobs differently now
31
The KM Spiral
First we learn something through socialization (e.g. being
apprenticed to a master)
Next we translate this into a tangible format that can be
more easily communicated to others (externalization)
This knowledge is then standardized using templates, coding
rules etc (new combination)
Finally, team members enrich their own tacit knowledge
bases by adding new knowledge and skills (internalization)
They then share this new knowledge tacitly (back to
socialization and the spiral continues)
Tacit to Explicit and Explicit to Tacit are the key steps
32
From Metaphor to Model
Externalization (tacit to explicit) and Internalization (explicit to
tacit) both require a high degree of personal commitment
Involves
Mental models
Personal beliefs and values
Re-inventing yourself as well as the organization
Metaphor is a good way of expressing the “inexpressible”
Slogans, symbols
Fables, stories, allegories
analogies
Models – final step, no contradictions, consistent, systematic, logical
“two ideas in a single phrase”
33
From Chaos to Concept
How to structure metaphors, models and analogies in an
organizational KM design
1st principle:
Built-in redundancy – make sure there is shared overlapping
information
Easier to articulate
Easier to share
Easier to internalize
Can be done with internal competing groups, built-in
rotational strategy and free access to company information
via single integrated database or k-base
34
From Chaos to Concept (con’t)
Need to orient ensuring chaos created by the
inevitable discrepancies in meaning that occur
Provide a conceptual framework that helps them make
sense of their experiences
Conceptual umbrella for key concepts
Domain ontology – categorization of the organization’s
knowledge base
Standards set by the company re. strategic value of
knowledge
35
Recommended Solutions
Tacit
Tacit
Explicit
Explicit
Recommendations
1.
2.
3.
Recommendations
1.
2.
3.
Recommendations
1.
2.
3.
Recommendations
1.
2.
3.
36
K. Wiig KM Model
For knowledge to be useful and organized it
must be organized
Organize knowledge differently depending
on what knowledge will be used for
In our minds, we store knowledge as a
semantic network with multiple links
We choose the appropriate perspective
depending on the cognitive task at hand
37
Semantic Network Example:
Four Perspectives on a Car
38
Commute
39
Maintain
40
Vacation
41
Driving
42
K. Wiig KM Model/2
Organize knowledge so that it can be
accessed and retrieved using multiple paths
Useful dimensions to consider:
Completeness
Connectedness
Congruency
Perspective and purpose
43
Completeness
How much of the relevant knowledge is available
from this source?
Human mind
Knowledge base
We need to know that it is there
May be complete in the sense that all that is available
about the subject is there but no one knows it is there &
therefore cannot make use of it
44
Connectedness
There are well-understood and defined
relations between the different knowledge
sections
There are very few knowledge items that are
totally disconnected from the others
The more connected the knowledge base, the
greater its value
45
Congruency
A knowledge base is congruent when all facts,
concepts, perspectives, values, judgments and
associative and relational links between the mental
objects are consistent
There are no logical inconsistencies, no internal
conflicts, no misunderstandings
Consistency in concept definitions
Needs to be constantly ‘fine-tuned’
46
Perspective and Purpose
When we ‘know’ something, we often know
it from a particular perspective or for a
specific use in mind
We organize much of our knowledge using
perspective and purpose
Just-in-time knowledge retrieval
Just-enough – on-demand basis
47
Degrees of Internalization
1.
NOVICE: Ignorant or barely aware:
2.
BEGINNER: Know that the knowledge exists:
3.
COMPETENT: Knows about the knowledge:
4.
5.
aware of what the know or how it an be used
Not
Aware of
where the knowledge is and where to get it but cannot reason with it
Can use
and reason with the knowledge, given external knowledge bases such as
books, people to help
EXPERT: Knows the knowledge:
Holds the
knowledge in memory, understands where it applies, reasons with it without
outside help
MASTER: Internalizes knowledge fully:
Has deep
understanding with full integration into values, judgments, & consequences
of using that knowledge
48
Hierarchy of Knowledge
Knowledge
Explicit
Embedded
Coded, accessible
Coded, inaccessible
Un-coded, inaccessible
Passive Active
Passive Active
Passive Active
Library
books,
manuals
Products Info systems
Technols. Services
Isolated
facts,
recent
memory
Experts
KBs
Tacit
Habits
Skills
Proced.
knowledge
49
Three Forms of Knowledge
Public Knowledge
Explicit, taught and shared routinely, generally available in the
public domain
Shared Expertise
Proprietary knowledge assets exclusively held by knowledge
workers and shared in their work or embedded in technology,
often communicated by specialized languages & representations.
Personal Knowledge
Least accessible but most complete, tacit knowledge in people’s
minds, used non-consciously in work, play and daily life.
50
Four Types of Knowledge
Factual
Facts, data, causal chains
Conceptual
Perspectives, concepts, gestalt e.g. social constructivist
view of learning
Expectational
Judgments, hypotheses, predictions
Methodological
Reasoning, strategies, methods, techniques
51
Wiig’s KM Matrix
Knowledge Type
Knowledge Factual
Form
Conceptual Expectat.
Methodol.
Public
measure
reading
stability
balance
When supply
> demand,
price drops
Look for
temperatures
outside norm
Shared
forecast
analysis
Market is hot
A little water
in the mix is
ok
Check for
past failures
Personal
‘right’
texture, color
Company
track record
Hunch that
the analyst is
wrong
What is the
recent trend?
52
Boisot KM Model
The more easily data can be structured and
converted into information, the more
diffusible it becomes
The less data that has been so structured
requires a shared context for its diffusion, the
more diffusible it becomes
53
Boisot KM Cycle/2
explicit
codified
tacit
uncodified
abstract
concrete
undiffused
diffused
54
Complex Adaptive System KM
Models
Key processes include:
Understanding
Creating new ideas
Solving problems
Making decisions
Taking actions to achieve desired results
55
Complex Adaptive System KM
Models/2
Based on 8 emergent properties:
1.
2.
3.
4.
5.
6.
7.
8.
Organizational intelligence
Shared purpose
Selectivity
Optimum complexity
Permeable boundaries
Knowledge centricity
Flow
Multidimensionality
56
Complex Adaptive System KM
Models/3
Organizational
Intelligence
Shared
Purpose
Multidimensionality
Flow
Knowledge
Centricity
Optimum
Complexity
Flow
Selectivity
Permeable Barriers
creativity
complexity
change
57
EFQM overview
How can KM be used to achieve
organizational goals?
KM is positioned as an organizational enabler
KM is used to achieve organizational goals and
not KM-oriented goals
Never a good idea to do KM for KM’s sake!
58
EFQM components
People
Leadership
Policy &
Stategy
Partnerships
& Resources
Enablers
Processes
Key
Performance
Results
(people,
customer,
society)
Results
59
Inukshuk model
Developed to help Canadian government
departments manage their knowledge better
An Inukshuk is used to mark paths by First National
people
Derived from quantitative research and a review of
existing models
Uses the SECI (Nonaka and Takeuchi) model for the
process piece and emphasizes the role played by people
60
Inukshuk components
Measurement
Tacit Knowledge
Explicit Knowledge
Socialization
Externalization
Internalization
Combination
CULTUR
E
TECHNOLOGY
Leadership
61
Recap: Knowledge
Management Models
Choo, Weick – – sensemaking of external, knowledge
creation, decision making
Nonaka and Takeuchi – – internal knowledge spiral –
knowledge transformations
Wiig – knowledge organized as a semantic network for
multiple perspectives – typology
Boisot – – degree of abstractness of knowledge, extent to
which knowledge has been/can be diffused
Beer and Bennet & Bennet – – organization as a viable
system, organizational intelligence, extent to which
organization is permeable to knowledge flows
Inukshuk model:
62
Next:
Knowledge Capture and Codification
63
Knowledge Management in Theory
and Practice
Lecture 4: Knowledge Capture and
Codification
Overview
Knowledge Capture
For tacit knowledge
Knowledge Codification
For explicit knowledge
Organizing knowledge in a knowledge taxonomy
2
KM Cycle Step 1:Knowledge
Capture and Codification
Tacit Knowledge Capture & Codification
Ad Hoc Sessions,
Roadmaps,
Learning History
Action Learning,
Storytelling
Learn from Others, Guest Speakers,
Best Practice Capture
Interviewing to elicit tacit knowledge
3
Approaches to Knowledge
Capture and Codification
How to describe and represent knowledge
Depending on the type of knowledge
E.g. explicit knowledge is already well described but may
need to abstract/summarize it
Tacit knowledge on the other hand may require
significant analysis and organization before it can be
suitably described and represented
Tools range from linguistic descriptions and
categories to mathematical formulations and
graphical representations
4
Tacit Knowledge Capture
Techniques
Tacit Knowledge Capture
Ad Hoc Sessions, Roadmap, Learning History,
Storytelling, Interviews, Action Learning, Learn from
Others, Guest Speakers, Relationship Building, Systems
Thinking
Tacit Knowledge Codification
Proficiency Levels and Knowledge Profiles
Abstract Concept Representation (mental models)
Concept hierarchies (associative or semantic networks)
5
Learning History
Useful to capture tacit knowledge
A retrospective history of significant events in an
organization’s recent past, described in the voices
of people who took part in them
Researched through a series of reflective
interviews, transcribed in Q&A format
Systematic review of successes and failures
“Those who cannot remember the past
are condemned to repeat it”
George Santanya
6
Learning History Questions
What was your role in the project/initiative?
How would you judge its success?
What would you do differently if you could?
What recommendations do you have for other
people who might go through a similar process?
What innovative things were done or could have
been done?
7
Learning History
Documentation
Record and transcribe interviews
Analyze data to identify like themes and subthemes as well as quotes to be used
Document key themes and validate quotes
(e.g. make sure they are not anonymous nor
taken out of context)
Summarize and publish
8
Learning History Template
Theme Title
Part 1
Overview of the Theme
_________________________________________________
Part 2
Commentary, conclusions and
potential questions to be asked
that relate to the adjacent quotes
quotes representing
key responses to
interview questions
__________________________________________________
Part 3
Brief summary of quotes, additional questions to provide more clarity to theme
9
Storytelling
An organizational story is a detailed narrative of
management actions, employee interactions and other
intra-organizational events that are communicated
informally within the organization
Conveying information in a story provides a rich
context, remaining in the conscious memory longer and
creating more memory traces than information not in
context
Can increase organizational learning, communicate
common values and rule sets
10
What’s the Moral of the Story?
Fables are short fictional folk tales used to
indirectly tell truths about life
They have a level of meaning beyond the surface
story
They are an excellent example of what organizational
stories should be like – except they would tell truths
about life working in company X…
Some examples:
11
The Chicken and the Jewel
A chicken, scratching for food for herself and her chicks,
found a precious stone and exclaimed, “If your owner had
found you and not I, he would have taken you up and put
you in your first jewelry. But I have found you for no
purpose. I would rather have one kernel of corn rather than
all the jewels in the world.”
The ignorant despise what is precious
only because they cannot understand it
12
The Crow and the Pitcher
A crow, perishing with thirst, saw a pitcher, and hoping to find water, he
flew to it with delight. When he reached it, he discovered to his grief
that it contained so little water he could not possibly get at it. He tried
everything he could think of to get to the water, but all his efforts were
in vain. At last, he collected as many stones as he could carry and
dropped them one by one into the pitcher, until the brought the water
within his reach and saved his life.
Necessity is the mother of invention
13
The Donkey and His Shadow
A traveler hired a donkey to convey him to a distant place. The day being
intensely hot, and the sun shining in its strength, the traveler stopped to
rest, and sought shelter from the heat under the shadow of the donkey. As
this afforded protection for one, and as the traveler and the owner of the
donkey both claimed it, a violent dispute arose between them as to which
of them had the right to the shadow. The owner maintained that he had let
the donkey only, not his shadow. The traveler asserted that he had, with
the hire of the donkey, hired his shadow also. The quarrel proceeded from
words to blows, and while the men fought, the donkey galloped off.
In quarrelling about the shadow,
we often lose the substance.
14
Try it out….
Form groups of 3-5
Try to write the moral of the story from one
of the three fables handed out
Write these down and read out your results
when it is your group’s turn
NOTE TO INSTRUCTORS: provide students with paper or
electronic versions of any fable from Aesop – you can an use the
following – remove the morals from the slides you provide to students
15
The Man & His 2 Sweethearts
A middle-aged man, whose hair had begun to turn gray,
courted two women at the same time. One of them was
young, and the other well advanced in years. The elder
woman, ashamed to be courted by a man younger than
herself, made a point, whenever her admirer visited her, to
pull out some portion of his black hairs. The younger, on
the contrary, not wishing to become the wife of an old man,
was equally zealous in removing every gray hair she could
find. Thus it came to pass that between them both he very
soon found that he had not a hair left on his head.
Those who seek to please everybody please nobody.
16
The Farmer & the Stork
A farmer placed nets on his newly-sown land and caught a
number of cranes, which came to pick up his seed. With
them he trapped a stork that had fractured his leg in the net
and was earnestly beseeching the farmer to spare his life. “I
am no crane but a stork, a bird of excellent character – look
at my feathers – they are not the least like those of a crane!”
The farmer laughed aloud and said, “It may be all you say, I
only know this: I have taken you with these robbers, the
cranes, and you must die in their company.”
Birds of a feather flock together
17
The Oak & the Reeds
A very large oak was uprooted by the wind and
thrown across a stream. It fell among some reeds,
which it thus addressed: “I wonder how you, who
are so light and weak, are not entirely crushed by
these strong winds.” They replied, “ You fight and
contend with the wind, and consequently, you are
destroyed; while we on the contrary bend before the
least breath of air, and therefore remain unbroken
and escape.”
Stoop to conquer
18
The Hawk, the Falcon and the
Pigeons
The pigeons, terrified by the appearance of a
falcon, called upon the hawk to defend them.
He at once consented. When they had
admitted him into their shelter, they found
that he made more havoc and slew a larger
number of them in one day than the falcon
could pounce upon in one whole year.
Avoid a remedy that is worse than the disease
19
The Fox and the Goat
One day, a fox fell into a deep well and could find no means
of escape. A goat, overcome with thirst, came to the same
well and seeing the fox, inquired if the water was good. The
fox lavishly praised the water as excellent beyond measure
and encouraged the goat to descend. Thinking only of his
thirst the goat jumped in. The fox then informed him of the
difficulty they were both in and suggested they could escape
if he ran up the goat’s back to escape and then help the goat
out afterwards. The goat agreed. The fox got out and ran off
as fast as he could, leaving the goat behind in the well.
Look before you leap
20
Best Practice Capture
Best practices and lessons learned can be said to be two different
sides of the same coin: BPs look at successes and LLs look at
failures
They are both described in the same manner using metadata such as:
Date prepared
Point of contact : Name, organization, contact information
Members who participated in the development of the best practice
Problem statement
Background
(Note any research that was conducted, summary of
significant findings, root cause identification)
Best Practice Description (Models, business rules, use graphics
whenever possible)
21
Lessons Learned & Best
Practices Capture
Situation
Observer
Date
What went wrong?
Lessons Learned
What went right?
Best practices
22
CIDA: Example of a Best
Practice in Forestry
Best Practice: Bolivia:
Emerging best practices for combating illegal activities in the forest sector
B2: Simplifying norms and reducing their number
The Bolivian government in reforming its timber concession policies decreed
that the concession fee would be $ 1 per hectare per year. This contrasted
sharply with previous complex norms that mandated timber concession fees
based on species types, volumes and quality of timber, which left much room to
interpretation, misclassification and disguised measurement errors. The new
rule is singular, simple and clear: a concession covering 100,000 hectares must
pay $ 100,000 in concession fees per year. There is no room for interpretation
or modification based on doubtful criteria. Monitoring compliance and
prosecution is extremely easy, as the evidence is transparent. While the
economic soundness of charging a uniform fee for timber concessions of
differing commercial value is questionable, the new norm has the undeniable
advantage of diminishing the incidence of corruption or arbitrariness in
determining concession fees
23
CIDA: Example of KM
Lessons Learned
Appoint a DG of KM and Change Management.
Use existing web and intranet infrastructures to support KM and
communities.
Most communities of practice already exist – increase their exposure,
help them get set up and give them the required resources.
Identify short, mid-term and long-term business (not KM) goals for each
community.
Biggest obstacle encountered was lack of senior management support.
Need to create awareness and shared understanding so employees
clearly see the benefits of KM
Supervisors can be good role models to help all CIDA realize that
knowledge sharing is expected of everyone.
24
Knowledge taxonomies
Concepts are the building blocks of knowledge
and expertise.
Once key concepts have been identified and captured,
they can be arranged in a hierarchy – a knowledge
taxonomy
graphically represent knowledge in a way that reflects
the logical organization of concepts within a particular
field of expertise or for the organization at large
25
Knowledge taxonomies – con’t
A taxonomy is a classification scheme that
groups related items together
names the types of relationships concepts have to
one another
Is developed through a consensus of key
stakeholders
Is often multifaceted to represent the complexity
of organizational knowledge
26
Example – Facets
27
Tacit Knowledge Capture Activity
Form pairs
Take on role of knowledge journalist or subject matter
expert and then switch
Topic suggestions: How did you decide on what to do for
your undergraduate degree? Whose advice did you seek?
How would you advise someone to make this decision?
Write down 3-4 key interview questions you used
Try to identify at least one best practice or lessons learned
from the experience using the BP/LL template handout
28
Interviews
With subject matter experts, stakeholders,
process performers, customers – anybody
that can shed new light on a topic or issue
Used to gather knowledge for the community
and its knowledge base
Gather good stories!!
29
Interview Plan
Initial contact (phone, email, face-to-face)
Explanation of interview purpose, format,
duration, confidentiality of information
Establishing credibility and rapport
Ice-breaking
Professionalism (boundaries)
30
Types of Interview Questions
Closed questions
Can be answered with a yes or no
Used to validate (sometimes to “provoke” a
reaction)
Open questions
Require explanations as answers
Used to elicit knowledge
31
Group Activity: How to interview
Form pairs
Take on the role of knowledge manager or subject
matter expert and then switch
What are some of your best practices or lessons you
learned (easy or hard way) on writing a good resume
when seeking a job?
Write down some questions you asked
What was easy about interviewing/being
interviewed? What was hard?
32
Interview Questions
Interviewer #1
Interviewer #2
Q1:
Q1:
Q2:
Q2:
Q3:
Q3:
33
Summary: Tacit Knowledge
Capture and Codification
Tacit Knowledge Capture Techniques
Ad Hoc Sessions, Roadmap, Learning History
Storytelling, Interviews, Action Learning,
Learn from Others, Guest Speakers,
Best Practice capture
Tacit Knowledge Codification Techniques
Mental models
Concept hierarchies, semantic networks
Best practices, lessons learned
34
Next week:
Knowledge Sharing and Communities of
Practice
35
Knowledge Management in Theory
and Practice
Lecture 5: Knowledge Sharing and
Communities of Practice
Recap: KM Cycle Processes
Knowledge Capture
Knowledge Creation & Contribution
Knowledge Codification & Refinement (inc. Sanitize) &
Reconstruction (e.g. synthesis)
Selectively filter contributions
Knowledge Modeling
Knowledge Sharing & Pooling
Knowledge Organization &Access
Knowledge Learning &Application
Knowledge Evaluation & Re-Use OR Divest
2
Overview
Knowledge Sharing
Communities of Practice
Building blocks
Types of communities
Roles and Responsibilities
Directories of Experts
Yellow pages
Skill mining
Mapping the Flow of Knowledge
Organizational networks and Sociograms
3
What is a Community of
Practice (CoP)?
Traditionally, we have shared
knowledge through ‘word of
mouth’ (e.g. master to apprentice)
While socializing comes ‘naturally’
to us, there are fewer opportunities
in today’s much larger, much more
global companies
It was easy to do in the past:
coffee/smoker cliques, water cooler conversations…..
4
But:
In Today’s Working Environment
Multi-lingual
Multi-site
Multi-cultural
More &
Faster
More
Global
KM
PC
More
Mobile
More
Connected
PC
Internet
PC
5
What is a Community of
Practice (CoP)?
Definition of “Community”
“A group of people having common interests:
the scientific community, the international
business community”
Similarity or identity: a community of interests
Sharing, participation, fellowship
American Heritage Dictionary of the English Language, 3rd Ed. 1996.
6
Community Definition
(continued)
“The body of people in a learned occupation:
“the news spread rapidly through the
medical community”
Common interests
Agreement as to goals
Merriam-Webster Dictionary
7
Community Definition
(continued)
The word has been in the English language since
the 14th century
Comes from the Latin
“The quality of holding something in common”
A sense of common identity and characteristics
More direct, more immediate and more significant
relationships than in formal organized societies
Sharing of common goals, values, identities;
participatory decision-making
8
What is a virtual community?
“social aggregations that emerge from the
Net when people carry on those public
discussions long enough, with sufficient
human feeling, to form webs of personal
relationships”
Knowledge is social
as well as individual
(The Virtual Community, Howard
Rheingold, 1993)
9
What is a Practice?
A customary way of operation or
behaviour
Translating an idea into action
The exercise of a profession
Knowledge of how something is
customarily done
Merriam-Webster Dictionary
“There can be no knowledge
without a knower”
Knowledge is dynamic
in nature
10
What is a Community of
Practice in the KM World?
“A group of individuals informally bound together by
shared expertise and passion for a joint enterprise” (Snyder
and Wenger)
Peers in the execution of real work. What holds them
together is a common sense of purpose and a real need to
know what each other knows” (John Seely Brown)
“Focused on the more professional nature of work. It’s
trying to find a better way of doing work” (From the field….)
11
Putting the pieces together
The term “community” suggests that CoPs are
not constrained by typical geographic, business
unit or functional boundaries but rather by
common tasks, contexts and interests.
The word “practice” implies knowledge in
action – how individuals actually perform
their jobs on a day-to-day basis as opposed to
more formal policies and procedures that
reflect how work should be performed.
Lesser & Prusak, IBM Institute for KM
12
Community of Practice
A group of people
informally bound together
by shared expertise
and passion for a joint enterprise
13
Source: Etienne Wenger
Dimensions of Practice as the
property of a community
Joint enterprise
Mutual engagement
Shared repertoire
14
Dimensions of Practice as the
property of a community
Joint enterprise
Mutual engagement
Shared repertoire
What is the “work” of community members?
e.g. KM practitioners
Heterogeneous
Complementary
15
Dimensions of Practice as the
property of a community
What are the accepted objectives
of the community?
Joint enterprise
Mutual engagement
Negotiated consensus
Mutual accountability
Shared repertoire
What is the “work” of community members?
e.g. KM practitioners
Heterogeneous
Complementary
16
Dimensions of Practice as the
property of a community
What are the accepted objectives
of the community?
‘Knowledge is local,
sticky and contextual”
Joint enterprise
Mutual engagement
What is the “work” of community members?
e.g. KM practitioners
Heterogeneous
Complementary
Negotiated consensus
Mutual accountability
Shared repertoire
Artifacts: routines, tools, stories,
ways of doing things, language,
concepts, history, discourse
Shared virtual space
17
How are Communities of
Practice Different?
(excerpt from “Communities of Practice: The Organizational Frontier, by Etienne Wenger)
18
A Community of Practice
Experts,
Mentors
*LPP – Legitimate peripheral participant
Members
Lurkers*
19
Multiple Communities
Lurker in
one, mentor
in another
Overlappin
g
Communiti
es
A
community
waiting to
happen
Knowledge brokers
20
Multiple Communities
Boundary objects
Artifacts: tools, documents, models shared by CoP’s.
Discourses: a common language that can be shared across CoPs
Processes: shared processes, routines, procedures that
facilitate coordination of and between CoPs
21
The Value Added by
Communities of Practice
The help drive strategy
They start new lines of business
They solve problems quickly
They transfer best practices
They develop professional skills
They help companies recruit and retain talent
22
Source: Etienne Wenger
Benefits of
Communities of Practice
For the organization
Help drive strategy
Solve problems quickly
Diffuse best practices
Cross-fertilize ideas, increase opportunities for
innovation
Build organizational memory
23
CoP Benefits (continued)
For the community
Develop professional skills
Develop a common language
Improve continuously
LEARN
24
CoP Benefits (continued)
• For the individual
• Help people do their jobs & save time
• Building a sense of community bonds
within organization
• Helps people to keep up to date
• Provides challenges and
opportunities to contribute
25
Why are CoPs important now?
Knowledge increasingly recognized as a strategic
intellectual asset
Cannot be left to chance – need to actively,
systematically organize, and disseminate
knowledge
CoPs are a good way of doing this
CoPs need librarians, archivists,
taxonomists….”knowledge stewards”
26
A Paradox of Management
Although communities of practice are fundamentally
informal and self-organizing, they benefit from
cultivation.
How to cultivate them:
identify potential communities of practice that will enhance
the company’s strategic capabilities
provide the infrastructure that will support them and enable
them to apply their expertise effectively
use nontraditional methods to assess their value
27
Community Building Blocks
Collective identity
Community type
Community roles and responsibilities
Community membership
Collaborative work environment
28
Community Types
Helping Communities
Provide a forum for community members to help each other solve
everyday work problems
Best Practice Communities
Develop and disseminate best practices, guidelines and procedures
for members’ use
Knowledge Stewarding Communities
Organize, manage, and steward a body of knowledge from which
members can draw
Innovation Communities
Create breakthrough ideas, knowledge & practices
29
Community Roles and
Responsibilities
Functional sponsor
Believes in and promotes the value of knowledge
sharing and community membership
Core team
Community Leader
Community Facilitator
Logistics Coordinator
30
Community Core Team
Use their knowledge of the discipline to
judge what is important, groundbreaking and
useful
Enrich information by summarizing,
combining, contrasting and integrating
information into the knowledgebase
Establish a taxonomy for the knowledgebase
31
How Knowledge Workers Spend their Time
Other
22 %
18 %
Production
60%
Research &
Validation
EDS 1996
32
How do we find information
online?
Phase I : on-line search
Phase II : off-line search
Succeed
5%
Fail
10%
Fail
95%
45 minutes spent on-line:
Searching:
Surfing:
5 min.
40 min.
Succeed
90%
After phoning for help, they
find what they are looking
for 90% of the time in less
than 5 min
33
Directories of Experts
Research shows that even in companies with welldeveloped KM infrastructures, people still turn first
to other people as they seek solutions to problems
and knowledge
Knowledge flows are primarily through people
What knowledge flows?
Direct answer to question
Metaknowledge
Help in reformulating the problem…..
34
Skill Mining
Similar to data mining
Purpose is to identify who within an
enterprise has the expertise required to help a
knowledge worker with a specific issue
Manual – Knowledge Support Offices
Automated – Abuzz, Autonomy, Dataware
Tends to be better suited to ‘hard’ or
technical skills
35
Yellow Pages – Expert
Network Example
Trading strategy
Intelligence analysis
Investment strategy
Economic forecasting
Portfolio theory
Technical analysis
Portfolio selection
Company analysis
Securities selection
Industry and competitive
analysis
36
Yellow Pages Activity
See handout
FOR INSTRUCTORS: you can develop a list of about
20 items such as: “knows how to fix a lawnmower”,
“can name 3 types of potatoes”, “has run a marathon.”
Draw a line next to each item. Ask students to find
someone in the class who has this type of “expertise”.
This is a method of developing yellow pages.
37
Social Network Analysis
(SNA)
SNA is a diagnostic method for collecting and
analyzing data about patterns of relationships among
people in groups
Can identify patterns of interaction such as average number of
links between people in an organization or community, the
number of subgroups, information bottlenecks, knowledge
brokers
Can help to improve knowledge flow, identify key brokers
and hoarders
E.g. 6 degrees of separation
38
SNA (continued)
Example: if your goal is to build a more cohesive
knowledge network so people can access and interact
with one another more quickly, more easily:
How well do you know and understand the skills and
experiences of other members?
Is the type of knowledge held by this other person
important to the work that you do?
Do you find it easy to access other people when you need
help?
39
Knowledge Flow Analysis Example: Finding Hidden Experts
Rosa and Thomas are
`hidden` experts
Orphaned database
40
SNA (continued)
Based on the results of the analysis, you may decide to:
Reorganize
Introduce new specific roles e.g. moderator to assist in
knowledge transfer
Technologies to support expertise location, virtual meetings,
as well as face-to-face meetings
Introduce a shared goal they can work towards or theme of
interest for discussion
Self-awareness may be enough (“yikes – I am a knowledge
black hole!)
41
Mapping the Flow of
Knowledge
Portal
Jack
Sue
Knowledge request
Knowledge response
42
Sociogram Example
Draw a sociogram of a community you belong to:
Family
Friends
Peers – e.g. have you exchanged knowledge with anyone in this
class? How? (email, conversation, phone) for what purpose?
(assignment) with anyone outside the class on the topic of
CoPs/KM? Who?
Hobby groups
Interest groups
43
Next:
Knowledge Acquisition and Application
44
Knowledge Management in Theory
and Practice
Lecture 6: Knowledge Acquisition and
Application
Overview
Personal (Individual) knowledge acquisition and
application
Personalization and Profiling
Cognitive Styles and MBTI
Bloom Taxonomy of Learning Objectives
Group profiling – segmentation
Organizational knowledge acquisition and
application (OL) – knowledge repositories
2
Overview
Personal (Individual) knowledge acquisition and
application
Personalization and Profiling
Cognitive Styles and MBTI
Bloom Taxonomy of Learning Objectives
Group profiling – segmentation
Organizational knowledge acquisition and
application (OL) – knowledge repositories
3
What does “personalization”
mean??
Opposite of personalization = generic
one-size fits all
mass communications
Beyond (“trivial”) customization
segmentation
manual adjustments e.g. desktop
use of personal names instead of ‘addressee’
4
Personalization and Profiling
new technologies of internet, intranet, extranet,
groupware, CBT and so on greatly facilitate the
capture of user profiles – their actions leave behind
digital artifacts or footprints
it is thus easier to observe what they do and track, scan, model
“push technologies” – e.g. personalized email
alerts based on your interests
5
Keeping Track in the Networked
World: Footprints and Breadcrumbs
ALL online transactions – and actions – leave behind digital
traces (footprints) which we can see, collect, analyze and act on
ATM banking transactions
Web browsing
Communicating with wireline and wireless telephones….
We leave breadcrumbs so we can find out way back to places of
interest (e.g. bookmarks)
6
User Profiling Approaches
Sign up or subscription – ask users
Approaches based on observation and
deduction
Content Affinity Groups
Data Mining
User Modeling
Real-time
Usage history
Model of online behaviour
7
Affinity Groups
Group together based on characteristics of
content (e.g. document mapping based on
key words) ….OR:
Affinity groups: group together based on
similarities between users accessing that
content
e.g. Amazon.com
8
OnLine Behaviour
In a store (such as a supermarket) studies
show that 90% of people turn right instead of
going straight or left
What is the equivalent behaviour(s) in
cyberspace?
Similar to GPS systems that show where you
have been, in what sequence, how often, how
long you stayed
9
Overview
Personal (Individual) knowledge acquisition and
application
Personalization and Profiling
Cognitive Styles and MBTI
Bloom Taxonomy of Learning Objectives
Group profiling – segmentation
Organizational knowledge acquisition and
application (OL) – knowledge repositories
10
Group profiling methods
Segmentation
Categorize users based on easily obtained information
A good compromise between individual personalization
and mass customization
Default profiles can be used as a starting point and later,
personalization used to refine these profiles further
E.g. demographic profiling
E.g. Cognitive styles and MBTI
11
Demographic profiling
Based on where you live – your postal code
Derive segments
Develop a profile
You have a lot in common with your neighbours!
Ex : Polk Data, CompuSearch
Integrate other data e.g. Statistics Canada
Do you provide your postal code at the checkout
counter???
12
Cognitive Styles and MBTI
Cognitive differences
We all have preferred habits of thought that influence how we
make decisions, how we interact with others and how we prefer
to learn
These are neither good nor bad
They emerge early in our lives and tend to remain fairly stable
through the years
People tend to choose professions that reward or correspond to
their preferred cognitive styles
Myers-Briggs Type Indicator is an example of a widely
used tool to assess cognitive styles
13
Managing Diversity
Generally, managers have two responses:
Comfortable clone syndrome – hire, work with,
talk to people like themselves
Creative abrasion – value a variety of thinking
styles and deliberately designs a full spectrum of
approaches into the organization and work teams
Understand yourself
Create whole-brained teams
CAVEAT: do not take labeling too far!
14
Some Issues
Privacy
Amount of elapsed time, number of actions before
stable pattern is established
Level of detail required (cost-effectiveness)
How much personalization?
One way if to look at a hierarchy of learning objectives
(Bloom)
15
Bloom’s Hierarchy of Learning
Objectives
Conceptual systems theory that describes
progressively complex levels of learning
achievement – as evidenced by learner behaviours
Prerequisite structure
Need to master lower level before moving up to the next
level
E.g. your course objectives
Good model for knowledge acquisition
B. Bloom (1956) Taxonomy of Educational Objectives: Cognitive Domain
16
Bloom: Cognitive Learning
Objectives (continued)
Evaluation
Synthesis
Analysis
Application
Comprehension
Knowledge
17
Bloom: Cognitive Learning
Objectives (continued)
Evaluation
Synthesis
Analysis
Application
Comprehension
Knowledge
•Define
•Memorize
•Repeat
•Record
•List
•Recall
•Name
•Relate
18
Bloom: Cognitive Learning
Objectives (continued)
Evaluation
Synthesis
Analysis
Application
Comprehension
Knowledge
•Restate
•Discuss
•Describe
•Recognize
•Explain
•Express
•Identify
•Locate
•Report
•Review
19
Bloom: Cognitive Learning
Objectives (continued)
Evaluation
Synthesis
Analysis
Application
Comprehension
Knowledge
•Translate
•Interpret
•Apply
•Employ
•Use
•Demonstrate
•Dramatize
•Practice
•Illustrate
•Operate
•Schedule
•Sketch
20
Bloom: Cognitive Learning
Objectives (continued)
Evaluation
Synthesis
Analysis
Application
Comprehension
Knowledge
•Compose
•Analyze
•Differentiate
•Appraise
•Calculate
•Experiment
•Compare
•Contrast
•Inventory
•Question
•Solve
•Examine
21
Bloom: Cognitive Learning
Objectives (continued)
Evaluation
Synthesis
Analysis
Application
Comprehension
Knowledge
•Distinguish
•Plan
•Propose
•Design
•Formulate
•Arrange
•Assemble
•Construct
•Create
•Collect
•Set up
•Organize
•Manage
22
Bloom: Cognitive Learning
Objectives (continued)
Evaluation
Synthesis
Analysis
Application
Comprehension
Knowledge
•Judge
•Evaluate
•Rate
•Value
•Revise
•Score
•Select
•Assess
•Prioritize
•Justify
•Debate
23
Example: Course Objectives
1. Use a framework and a clear language for intellectual
capital and organizational memory concepts
2. Model the flow, sharing and leveraging of intellectual
assets
3. Identify some of the principal cultural characteristics that
are necessary to encourage organizational learning and
innovation
4. Describe the links between individual and organizational
learning
5. Monitor, value, categorize, report intellectual capital
24
Overview
Personal (Individual) knowledge acquisition and
application
Personalization and Profiling
Cognitive Styles and MBTI
Bloom Taxonomy of Learning Objectives
Group profiling – segmentation
Organizational knowledge acquisition and
application (OL) – knowledge repositories
25
Learning Organizations
“places where people continually expand their
capacity to create the results they truly desire,
where new and expansive patterns of thinking are
nurtured, where collective aspiration is set free, and
where people are continually learning how to learn
together”
(P. Senge, The Fifth Discipline)
26
What is a Learning Organization?
A learning organization is an organization skilled at
creating, acquiring, and transferring knowledge, and at
modifying its behavior to reflect new knowledge and
insights.
New ideas are essential if learning is to occur
Sometimes they are created from scratch (flash)
At other times they come from outside the organization
Triggers for organizational learning but by themselves, ideas
do not bring about organizational learning: needs to be
accompanied by changes in the way that work gets done –
otherwise, no potential for improvement
27
Management: Building Blocks
Learning organizations are skilled at 5 main
activities:
1.
2.
3.
4.
5.
Systematic problem solving e.g. use scientific approach
Experimentation with new approaches
Learning from their own experience & past history
(lessons learned, project reviews)
Learning from the lessons learned and best practices of
others (benchmarking, networking)
Transferring knowledge quickly and efficiently
throughout the organization (training, lunch and learns…)
28
Steps Leading to a Learning
Organization
Foster an environment that is conducive to learning
Time for reflection, analysis, to think about strategic plans,
dissect customer needs, assess current work systems and
invent new products
Open up boundaries and stimulate the exchange of
ideas – destroy the silos & ivory towers with
conferences, meetings, project teams
Create learning forums: programs or events designed
with explicit learning goals e.g. study missions,
committees, symposiums, etc.
29
Lessons Learned and
Knowledge Inventories
Whenever an exceptional situation occurs –
opportunities for best practices (creative
innovations) and lessons learned to be drawn
from them
Need to be captured, described and preserved to
be accessible again when needed
Continued learning of employees, communities
and of the organization
30
Case Study: NASA Lessons
Learned
NASA* “Better Mechanisms Needed for Sharing
Lessons Learned
“NASA needs to do better in capturing, disseminating and
utilizing knowledge”
Assessment noted lack of access to and process for lessons
learned
Recommendation was for continuous collection,
verification, storage and dissemination of project knowledge
and lessons learned – – “must become a core business
process within the agency’s program and project
management environment”
*Technical report AIC-00-005, Rand, Dec 2000
31
NASA (continued)
Lessons Learned Collection
Structured and unstructured processes such as
mishap reporting, accident reporting, project
critiques, written forms and meetings
Positive and negative experiences – can learn
from both
32
NASA (continued)
Lessons Learned Verification
Verify correctness and applicability of lessons
submitted
Domain/subject matter experts may be involved
Determine relevance of lesson learned
Projects – department – program – organization as a
whole
33
NASA (continued)
Lessons Learned Storage
Incorporate into knowledge base
Store in such a way as to allow users to identify
applicable information
Categorize – codify
Describe how it can be used, when it can be used
(and when it can’t), who can use…
34
NASA (continued)
Lessons Learned Dissemination
Distributed and used by people
Revision – reformatting – multimedia
Lessons can be ‘pushed’ (automatically
delivered to users) or ‘pulled’ (user must
manually search for it)
With or without assigned priorities
35
NASA (continued)
KM situation
Lessons are not routinely identified and shared by program and
project managers
LLIS is not being used (27% surveyed didn’t know it even
existed! Another estimated it took him 2 weeks to sift through and
find a good lesson)
There is little incentive to share knowledge
Somewhat knowledgeable about lessons generated in their own
areas, little knowledge of any outside their area
Usually done very informally
E.g. after each launch, team discusses what went well, what could have
been improved – not captured
36
NASA (continued)
Agency-wide LLIS not consulted because
“its lessons cover so many topics that it is
difficult to search for an applicable lesson…
You have to weed through all the irrelevant
lesson to find the “jewels”…
There should be better categories to find
relevant lessons.”
37
NASA (continued)
58% of managers reported they did not like to use the LLIS
system – want only “good” content (e.g. best practices)
No communities to help with the content – just LLIS
Cultural barriers: lack of trust, intolerance for mistakes,
lack of time to share knowledge, lack of perceived benefits
– senior management are not role models
“Until we can adopt a culture that admits frankly
to what really worked and what didn’t, I find
many of these tools to be suspect.”
And speaking of culture…
38
Next…
The Role of Organizational Culture
39
Knowledge Management in Theory
and Practice
Lecture 7: The Role of Organizational
Culture
Overview of lecture
Feedback on MBTI (online questionnaire)
Explanation of the dimensions
Correlation with career choice
Role of organizational culture
Maturity models
Case studies
Research study
2
Cognitive Styles and MBTI
Cognitive differences
We all have preferred habits of thought that influence how we
make decisions, how we interact with others and how we prefer
to learn
These are neither good nor bad
They emerge early in our lives and tend to remain fairly stable
through the years
People tend to choose professions that reward or correspond to
their preferred cognitive styles
Myers-Briggs Type Indicator is an example of a widely
used tool to assess cognitive styles
3
Your Personality Profile
Why profile?
How do you learn? How do you solve problems?
What career are you likely to choose?
How do you work in teams?
How do you share knowledge?
What does your social network look like?
Questionnaire
Self-report results (that you did online)
An alternative way of determining your profile…
See handout
4
MBTI and Jungian Types
Four Dimensions:
Introverted vs. Extroverted – – source of energy
Judging vs. Perceiving – – source of inputs
Sensing vs. Intuiting – – ways of perceiving
Thinking vs. Feeling – – ways of judging
**gender correlation**
16 Type Profiles
5
MBTI Type Distribution
– general population
T
J
Introverted
P
P
Extroverted
J
Sensing
Intuiting
F
F
T
ISTJ
ISFJ
INFJ
INTJ
12%
14%
2%
2%
ISTP
ISFP
INFP
INTP
5%
9%
4%
3%
ESTP
ESFP
ENFP
ENTP
4%
9%
8%
3%
ESTJ
ESFJ
ENFJ
ENTJ
9%
12%
3%
2%
6
Overview of lecture
Feedback on MBTI (online questionnaire
Alternative way of arriving at your type
Explanation of the dimensions
Correlation with career choice
Role of organizational culture
Maturity models
Case studies
Research study
7
Knowledge Management &
Change Delivery
Imagine the following:
3 groups of 10 individuals are in a park at lunch time with a
rain clouds threatening
Group 1: someone gets up and says ‘get up and follow me…
Group 2: someone says ‘here’s the plan – each one stands
authoritarian
up, marches in the direction of the apple tree, maintaining a
distance of 2 feet apart….’
Group 3: a few people say ‘it’s going to rain – why don’t we
micromanager
go over to that apple tree – we will stay dry and have fresh
apples for lunch…’
Group 4: someone tells a story about the time…
grassroots
From: John Kotter (1996) Leading Change. Boston: Harvard School Press.
8
A Springboard Story
In June 1995, a health care worker in Kamana, Zambia logged
on to the Centre for Disease Control Web Site in Atlanta and
found the answer to a question on how to treat malaria.
This serves as an illustration of low-cost knowledge sharing across
organizations, across distances and across cultural barriers.
Stephen Denning used this story to catalyze senior management at the
World Bank to rethink their mission – no longer just a bank but a
knowledge broker. and to help them to envision – – what would it be
like…..if we ignited organizational change and become a Knowledge
Culture company
From: Stephen Denning (2001) The Springboard: How Storytelling Ignites Action
in Knowledge-Era Organizations. Boston, MA: Butterworth-Heineman.
9
From Steven Denning himself:
.htm
10
What is culture?
Corporate culture is the set of understandings (often unstated!) that
members of a community share in common. These shared
understandings consist of our norms, values, attitudes, beliefs and
paradigms. (V. Sathe)
Culture is the integrated pattern of human behaviour that includes
thought, speech, action and artifacts and depends on man’s capacity for
learning and transmitting knowledge to succeeding generations.
(Webster’s)
A pattern of basic assumptions
That has worked well enough to be considered valid
Is therefore taught to new members as a correct way to think,
perceive and feel in relation to problems.
Unspoken “rules of the game”
What is done and what is NOT done
How you fit in with respect to the organization
11
KM almost always triggers
organizational change
Corporate culture is a key component of ensuring that critical
knowledge and information flow within an organization
The strength and commitment of a corporate culture is at
least as important as the communication technologies
implemented for knowledge sharing
Traditionally, knowledge flowed or was shared vertically – needs to
be horizontal as well
Organization needs to recognize and reward knowledge sharing rather
than knowledge hoarding behaviours
Communications technology is an enabler of knowledge sharing
12
Three Myths about KM:
1. Build it and they will come
People rarely take the time to learn new tools
Technology does not always give them what they
want/need
People often don’t know what knowledge they need
2. Technology can replace face-to-face
Only if you ignore valuable tacit knowledge
3. First you have to create a learning culture
It is very hard and takes a very long time to change culture
– – focus on changing behaviours then culture
13
Maturity Models
Good frameworks for understanding current
culture of an organization
And the stages of how change is introduced
Can better identify the obstacles and enablers in
order for the organization to attain the next level
14
Stages of Organization Maturity
Agile
Organized
Ad hoc
Chaotic
•Culture adapts strategically
•Operation model changes
dynamically based on
environmental changes
•Professionals compete to work for
corporation
•Cohesive corporate culture and operation model
•Corporate strategy drives operational tactics
Managed
•Corporate leadership team coaches & empowers
local leaders
•Employees recruited & retained based on strategic
direction
•Similar local cultures
• Local decision making based on corporate strategy
•Local leadership linked to corporate leadership team
•Corporate operation model pushed down to local level
•Stable employee base
•Multiple local cultures, leadership structures and
operation models
• Local decision making
•Employee turnover high except in preferred classes of
employees
•Non-cohesive culture
•Decision making in-flight
•Leadership structure vague
•Operation model undefined
•Employees evaporating
15
Forrester Group:
KM Maturity model
Typical
initiatives
Assisted
Self-Service
Organic
•Employees codify with
help from journalists
•Employees codify on
their own without help
•KM happens in the
background – it is
embedded in business
•Employees find info with
the help of librarians
•Employees find info
using search engines
•Info provided when
needed (JIT, JET)
•KSO
•Push technologies
•Personalized KM
•Yellow Pages
•Customized KM
•Communities of
Practice
16
APQC Evolution of a Best
Practice
Good idea
•BP candidate
•unproven
•intuitive
•need to analyze
•Used successfully
on one or a few
assignments
Good
practice
•Has impact
within comp
•technique,
method that
improves
performance
•Used by other
groups on
different
assignments
Local best
practice
•Recognized by
comp experts
•shown to be best
approach for some
or all parts of the
organization
•Available for reuse
throughout
company
Industry
Best Pract.
•Recognized by
outside experts
•Acknowledged
as state-of-the-art
by industry
17
KM Maturity Model …
Example:
Commitment
Institutionalization
Adoption
Trial
Understanding
Awareness
Contact
Time
18
Community of Practice
Lifecycle
Value of
content
created
Knowledge taxonomist
Maturing Stewardship
Coalescing
Potential
Knowledge
journalist
Transformation
Knowledge archivist
Community maturity
and productivity
19
Some Minimum Requirements
KM Barriers
Possible Solutions
Lack of time & meeting places
Seminars, e-meetings
Status & rewards to knowledge
owners
Establish incentives, include in
performance evaluations, role
models
Lack of absorptive capacity
Hire for openness, educate
Not-invented-here syndrome
Non-hierarchical approach
based on quality of ideas not
status of source
Accept and reward creativity,
collaboration, no loss of status
for not knowing everything
Common set of key words,
standard formats, translators,
knowledge journalists and
knowledge editors
20
Intolerance for mistakes and
need for help, lack of trust
Lack of common language:
not just English vs Spanish but
engineer-speak vs managerspeak
Some Initial Steps to Creating
a Knowledge Culture
Knowledge journalist to begin interviewing to document projects,
best practices. Lessons learned
KM Awareness Get-Togethers (e.g. informal Project Manager
Breakfasts)
Newsletters to publicize KM initiatives and good KM role models
KM Pilot Projects leveraging ongoing efforts
KSO,
intranets,
KBS,
DMS,
People or expertise finders ….
21
Other Best Practices
Encourage a knowledge-friendly culture
Cannot be imposed top-down
Culture evolves over a long period of time through the way
in which individuals work with one another
Adapt the selection criteria and standards used to evaluate
performance
Positive role models
Create opportunities for people to get to know one another
and learn from one another
Focus on connecting people rather than capturing knowledge
22
Knowledge Management &
Change Delivery
Imagine the following:
3 groups of 10 individuals are in a park at lunch time with a
rain clouds threatening
Group 1: someone gets up and says ‘get up and follow me…
Group 2: someone says ‘here’s the plan – each one stands
authoritarian
up, marches in the direction of the apple tree, maintaining a
distance of 2 feet apart….’
Group 3: a few people say ‘it’s going to rain – why don’t we
micromanager
go over to that apple tree – we will stay dry and have fresh
apples for lunch…’
Group 4: someone tells a story about the time…
grassroots
23
Case Study 1
Virtual organization- over 100 members
All involved in economic regional development
work across Canada
E.g. Youth employment, tourism, etc.
Each area/branch had its own “local” culture
Resistance to top-down implementation of KM
system – instead used:
24
Three Myths about KM:
1. Build it and they will come
People rarely take the time to learn new tools
Technology does not always give them what they
want/need
People often don’t know what knowledge they need
2. Technology can replace face-to-face
Only if you ignore valuable tacit knowledge
3. First you have to create a learning culture
It is very hard and takes a very long time to change culture
– – focus on changing behaviours then culture
25
Case Study 2
The organization is an international aid agency
working to end poverty and injustice as well as
responding to emergencies
Offices around the world
Work closely in partnership with communities
Wants to become a learning organization
First: we situated the organization on the maturity
models to assess its “organizational readiness”
26
General maturity model
RESULT
Ad hoc
•Culture adapts
strategically
•Operation model changes
Agile
dynamically based on
environmental changes
•Professionals compete to
work for corporation
•Cohesive corporate culture and operation
model
Managed
•Corporate strategy drives operational
tactics
•Corporate leadership team coaches &
empowers local leaders
•Employees recruited & retained based on
•Similar local cultures
strategic direction
Organized
• Local decision making based on corporate
strategy
•Local leadership linked to corporate leadership
team
•Corporate operation model pushed down to local
•Multiple local cultures,
leadership structures
level
and operation models
•Stable employee base
• Local decision making
•Employee turnover high except in preferred
classes of employees
Chaotic
•Non-cohesive culture
•Decision making in-flight
•Leadership structure vague
•Operation model undefined
•Employees evaporating
Forrester Group model
RESULT
Assisted
Self-Service
Organic
•Employees codify with
help from journalists
•Employees codify on
their own without help
•KM happens in the
background – it is
embedded in business
•Employees find info with
the help of librarians
•Employees find info
using search engines
•Info provided when
needed (JIT, JET)
•KSO
•Push technologies
•Personalized KM
•Yellow Pages
•Customized KM
•Communities of Practice
APQC model
Good idea
•BP candidate
•unproven
•intuitive
•need to analyze
•Used successfully
on one or a few
assignments
Good
practice
•Has impact
within org
•technique,
method that
improves
performance
•Used by
other
groups on
different
assignments
RESULT
Local best
practice
•Recognized by
org experts
•shown to be
best approach
for some or all
parts of the
organization
•Available for
reuse
throughout
company
Industry
Best Practice
•Recognized
by outside
experts
•Acknowledg
ed as stateof-the-art by
industry
Community of Practice Lifecycle
RESULT
Value of
content
created
Maturing Stewardship
Coalescing
Transformation
Potential
Community maturity
and productivity
KMM (Infosys) model
RESUL
T
Commitment
5.Sharing
4.Convinced
3.Aware
2.Reactive
1.Default
Time
H. Gruber & L. Duxbury
In-depth study of R&D dept of a high tech
company
Looked at link between organizational culture
and knowledge sharing
Variables of o…
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