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Knowledge Auditing: A Practical Approach

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Title: Knowledge Auditing: A Practical Approach


1
Knowledge AuditingA Practical Approach
Going beyond the Hype of Knowledge Management
  • Geoffrey A. Walker
  • Information Systems ICT Development Officer
  • Operational Support Special Projects Unit
  • Newcastle City Council

2
Overview
  • The Changing Organisational Environment
  • Data, Information and Knowledge The
    Relationship
  • Knowledge Knowledge Management Practical
    Definitions
  • How should Organisations approach KM? Key
    Questions
  • Communities of Practice New Forms of
    Organisation
  • Community Services Division Knowledge Audit
    2002
  • Knowledge Auditing Critical Success Factors
  • Further Reading

3
The Changing Organisational Environment
  • 20th Century
  • Functional departments in single locations
  • 9 to 5, Monday to Friday working
  • Hierarchical management structures with fixed
    roles
  • Emphasis on intra-organisational working
  • Organisationally structured training and
    development
  • 21st Century
  • Geographically distributed individuals with
    remote and mobile working
  • 24/7 society
  • Flatter management structures, matrix management,
    multi-tasking and project team based
  • Greater emphasis on partnership and alliances
  • Personally tailored training and devleopment

4
Information Overload is not a new problem!!!An
immense and ever-increasing wealth of knowledge
is scattered about the world today knowledge
that would probably suffice to solve all the
mighty difficulties of our age, but it is
dispersed and unorganised. We need a sort of
mental clearing house for the mind a depot where
knowledge and ideas are received, sorted,
summarised, digested, clarified and
compared.H.G. Wells The Brain Organisation
of the Modern World 1940
The economist Alfred Marshall first outlined the
concept of the knowledge-based economy in his
Principles of Economics in the 1890s...
5
Here is another view!Its not about an
encyclopaedia that captures everything that
anybody ever knew. Rather, its about keeping
track of those who know the recipe and nurturing
the culture and the technology that will get them
talking.Ward, Adrian Workers Frontier
International
6
Data, Information Knowledge
  • Data is facts, pictures or numbers presented
    without a context
  • Information is organised data presented in
    context
  • Knowledge is information in context together with
    an understanding of how to use it

7
Davenport Prusaks 33 Rule
  • Resource management
  • Organisational culture
  • Information technology
  • What about the missing 1?

8
Defining Knowledge Knowledge Management
  • Knowledge The information contained within the
    organisation about customers, products and
    services which is contained within peoples minds
    or filed in analogue or digital format.
  • Knowledge Management A systematic attempt to use
    knowledge within an organisation to improve
    overall performance.

9
How should organisations approach KM?Questions
an organisation must ask itself!
  • How should an organisation new to KM get started?
  • How do you create a culture favourable to KM?
  • How do you measure and reward progress?
  • How do you manage knowledge content
    systematically?
  • How do you create a KM architecture which
    encourages the flow of knowledge?
  • What level of human resources do you need to
    invest in KM?
  • How do you sustain impetus in KM?

10
Communities of Practice
  • A community can be defined as any group of people
    with a shared set of values or beliefs.
  • Social network analysts refer to communities as
    groups that share resources, provide support and
    show reciprocity.
  • Communities of practice are groups that share
    knowledge, learn together and create common
    practice. They demonstrate shared mental models,
    a common culture of information sharing and a
    sense of community that enables learning.

11
What is a CoP?
Communities of practice are the next phase in
organizational design
The multimembership organization
The functional organization
The market-oriented organization
The team-based organization
Communities of practice weave the organization
around competencies without reverting to
functional structures
12
Characteristics of CoPs
Legitimate Peripheral Participation Provides a
way to speak about the relations between
newcomers and old-timers and about activities,
identities, and communities of knowledge and
practice. It concerns the process by which
newcomers become part of a community of
practice.
  • Share knowledge
  • Learn together
  • Create common practices
  • Share mental models
  • Have a common culture of information sharing
  • Display a sense of community which enables
    learning

Knowledge Ecology An interdisciplinary field of
management theory and practice, focused on the
relational, social and behavioral aspects of
knowledge creation and utilization. Its primary
study and domain of action is the design and
support of self-organizing knowledge ecosystems,
providing the infrastructure in which
information, ideas, and inspiration can travel
freely to cross-fertilize and feed on each other.
13
Stages of Development of CoPs
Communities of practice evolve through life-cycle
phases
Discover/Prepare
Initiate/Incubate
Focus/Expand
Sustain/Renew
Let go/Remember
1. Potential 2. Coalescing 3. Maturing
4. Stewarding 5. Legacy
1. Topics defined? Shared needs identified?
Network found? 2. Coordinator ready to take
leadership? Case for action clear? Ideas on how
to link members? People connecting, helping each
other, having some success? Starting to share
useful knowledge? 3. Developing an identity as a
community? Focusing on developing a common
practice? Becoming visible? Growing? 4. Going
through cycles of activity? Gaining influence?
Changing leadership? Changing membership?
Mid-life crisis? Need to rethink direction? 5.
Little activity? Outlived its usefulness? Still a
resource? Still a source of inspiration
direction?
14
CoPs Forms of Leadership
15
CoPs Levels of Participation
16
Community Services DivisionOperational Support
Special Projects Unit
Creating the Context for Managing Knowledge
Being Roughly Right is Better than Being
Precisely Wrong
  • Knowledge Audit 2002
  • The Aims
  • The Knowledge Management Model
  • The Key Tasks
  • The Maps
  • The Outcome

17
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18
KM Objectives Programmes
? Three broad objectives of KM 1. Leveraging
the organisation's knowledge 2. Creating new
knowledge or promoting innovation 3. Increasing
collaboration and hence enhancing the skill level
of employees. ? Most common KM programmes
involve 1. Development of a knowledge
repository 2. Forming and nurturing communities
of practice.
19
The Aims
  • The aims of the knowledge audit are as follows-
  • Study and develop a deeper understanding of
    existing communities , content and
    conversations .
  • Identify opportunities to add value to current
    communities, content and conversations.
  • Develop a knowledge management strategy that
    delivers on the identified opportunities.
  • Communities, for the purposes of social network
    analysis, are defined as groups that share
    resources, provide support and show reciprocity.
  • Content is forms and combinations of words,
    images and pictures.
  • Conversations are exchanges of sentiments,
    observations, opinions, or ideas.

In search of a Networking Quotient (NQ)
20

STRATEGIC MANAGEMENT
Business Objectives
determine
determine
Creates a rich pool of data that forms the basis
of meaningful conversations that lead to improved
results.
Critical Success Factors
Knowledge Needs
Core Process
The KM Model
generate
generate
define
Knowledge Strategy
Information
KNOWLEDGE MANAGEMENT
Knowledge
PROCESS
Skills
People
Software Strategy
Systems Management
possible
Hardware Strategy
Systems Development
required
User Training
ICT MANAGEMENT
User Support
User Training
Source Sveiby Knowledge Institute
21
The Key Tasks
22
The Space of Flows...Societies organised
around flows of information will create a new
spatial logic.Manuel Castells
23
The Invisible Workbench...The intangible
dimension-that is, the generative domain of human
action and relationships-is moving from the
periphery to center stage.Michael Jung
(McKinsey Co.)
24
A Few Words from the Works of Wellmanhttp//www.
chass.utoronto.ca/wellman/1. Communities lost
versus communities liberated2. Weak ties and
strong ties3. Public space and cyberspace4.
Glocalisation5. The person is the portal
25
The Power of Metaphor
Metaphor is a distinctive method of perception.
It is a way for individuals grounded in different
contexts and with different experiences to
understand something intuitively through the use
of imagination and symbols without the need for
analysis or generalization. Through metaphors
people put together what they know in new ways
and begin to express what they know but cannot
yet say. As such, metaphor is highly effective in
fostering direct commitment to the creative
process in early stages of knowledge creation.
(Nonaka)
Three Individual-Level Functions of
Organisational Learning- 1. Metaphor The
multiple meanings and contradictory logic jump
start the creative process 2. Analogy An
intermediate step between pure imagination and
logical thinking 3. Model Contradictions are
resolved and developed into concepts and these
become transferable through the use of consistent
and systematic logic.
26
Divisional Network Map
27
Network Maps
28
Star Topology
29
NODE A
NODE B
NODE F
NODE G
NODE C
NODE F
NODE D
Network Measures
Physical Links 28
Longest Path 1 hop
NODE E
Note
Node Interaction
point within networks
refers to Both Human
and Computer
Interaction
Full Mesh Topology
30
Interpersonal Interaction Survey
31
Quality of Work Interactions
Can be assessed quantitatively Low0
High1 ACTIVITY Measurement of how active a
person is in the network. CONTROL Measurement of
how much control a person has over the flow
information. REACH Measurement of how much
potential influence a person wields. ACCESS
Measurement of how easily a person can get the
resources he or she needs to be successful in the
organisation. POWER Measurement of how much
power a person has to get things done.
32
The Outcome
33
Knowledge AuditCritical Success Factors
  • Leadership
  • Trust
  • Collaboration
  • Information Communication Technologies
  • Human Resource Management
  • Organisational Culture

34
Knowledge AuditAnd, therefore
  • A truly knowledge-focused organisation should
    recognise trust as the bandwidth of knowledge
    sharing and invest accordingly in building a
    collaborative climate
  • Kelleher, Dominic Levene, Simon -
  • Knowledge Management A Guide to Good Practice -
    BSI - 2001

35
Further Reading
  • Brooking, Annie F. (1999) Corporate Memory
    Strategies for Knowledge Management London
    Thomson
  • Collison, C. Parcell, G. (2001) Learning to
    Fly Practical Lessons from One of the World's
    Leading Knowledge Companies Oxford Capstone
  • Davenport, Thomas H. Prusak, Laurence (1998)
    Working Knowledge How Organisations Manage What
    They Know Harvard Business School Press
  • Wenger, E. et al (2002) Cultivating
    Communities of Practice A Guide to Managing
    Knowledge Boston, Mass. Harvard Business School

36
THE END
geoff.walker_at_newcastle.gov.uk http//www.geoffwalk
er.net
  • Thank You

37
Human Computer Networks
  • Social network researchers and consultants focus
    on geodesics, that is, the shortest paths in the
    network. Many of todays social network
    algorithms are based on a branch of mathematics
    called graph theory. Social network scientists
    have concentrated their work, and therefore their
    algorithms, in the following areas-
  • Individual node centrality within a larger
    network-network dependency and load upon
    individual routers
  • Overall path distribution-good connectivity
    without excessive routing tables
  • Improving communication flow within and between
    groups-designing better topologies
  • Network patterns surrounding ego
    networks-strategies for analysing and
    manipulating individual router connections

38
Ring Topology
NODE A
NODE B
NODE H
NODE C
NODE G
NODE D
NODE F
Network Measures
Physical Links 8
NODE E
Longest Path 4 hops
Note
Node Interaction
point within networks
refers to Both Human
and Computer
Interaction
39
NODE A
NODE F
NODE B
NODE G
NODE C
NODE F
NODE D
Network Measures
Physical Links 12
Longest Path 2 hops
NODE E
Note
Node Interaction
point within networks
refers to both human
and computer
interaction
Partial Mesh Topology
40
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