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Knowledge sharing is power
Judy Payne, Henley KM Forum
October 2007
© 2007 Henley KM Forum
DATA
Dispersed
elements
INFORMATION
Patterned data
KNOWLEDGE
Validated platform
for action
WISDOM
Implicitly knowing how to
generate, access and
integrate knowledge
Depthofmeaning
Tacit
Explicit
(from Saint-Onge, 1996)
© 2007 Henley KM Forum
What is knowledge management?
Knowledge management means using the
ideas and experience of employees,
customers and suppliers to improve the
organisation’s performance
(Skapinker, 2002)
© 2007 Henley KM Forum
Knowledge networks
Communities
Expertise directories
Capture
Codify
Store
“Explicit”
Connect
Communicate
“Tacit”
Document Management
Processes and workflows
(Larry Prusak, IBM)
Knowledge Management Continuum
© 2007 Henley KM Forum
In practice…
 Learning from successes and mistakes
– using existing knowledge to improve today’s performance.
 Learning how to be more successul
– creating new knowledge to improve tomorrow’s performance
 Improving collaboration
– joining things up
 Having the right knowledge in the right place at the right time
– to make better decisions
© 2007 Henley KM Forum
But…
 Knowing is a human capability. Knowledge itself can’t be
managed.
 Collaboration is a pre-requisite for knowledge creation and
sharing.
 Collaboration is voluntary.
 What we can do is create the right environment and provide
appropriate tools for people to collaborate and to create and
share knowledge.
© 2007 Henley KM Forum
What KM people talk about - environment
Culture Trust Learning
Collaboration Strategy Change
management
Performance Alliances and
partnerships
Knowledge flows
Motivation
© 2007 Henley KM Forum
What KM people talk about – tools
People finders
Wikis Extranets and
intranets
EDMS Post-project
reviews
After action
reviews
Storytelling Mentoring and
apprenticeships
Discussion
groups
Communities
and networks
© 2007 Henley KM Forum
Henley KM Forum Integrated KM model
External
relationships
Individual
employees
Organisation
 Nine knowledge flows
 Four alignment factors that
influence the effectiveness of
the knowledge flows:
– motivation
– skills and knowledge
– action required
– the environment
 KM maturity = all nine
knowledge flows working
together in an integrated and
appropriate way
© 2007 Henley KM Forum
KM challenges in project-based organisations
Projects are…
 Unique
– “my project is different so I can’t learn from yours”
 Novel
– “no-one will have had this problem before…”
 Transient
– New relationships for each new project
 Closely controlled
– No free time or space
© 2007 Henley KM Forum
Types of project
Type 2
Product
development
Type 1
Engineering
Type 3
Systems
development
Type 4
Research and
organisational
change
Greater
chance of
failure
Greater
chance of
success
Goals well defined
Yes No
Methods
well defined
No
Yes
(Turner and Cochrane, 1993)
© 2007 Henley KM Forum
Different management approaches
Milestones
(components of
product)
Task and
activity
scheduling
Milestones
(life cycle
stages)
Mission
definition, team
building,
refinement of
objectives
Greater
chance of
failure
Greater
chance of
success
Goals well defined
Yes No
Methods
well defined
No
Yes
(Turner and Cochrane, 1993)
© 2007 Henley KM Forum
Types of KM practice
Informal knowledge systems e.g. social spaces; non-billable time
Human resources e.g. training and coaching in KM skills; incentives for knowledge sharing
External relationships
e.g. benchmarking against competitors; membership of external
networks
Organisational practices
e.g. senior responsibility for KM; well-defined project management
processes with embedded KM
Project practices
e.g. project checklists; shared diaries; project reviews; lessons learned
sessions
Information technology systems e.g. project extranets; data mining
© 2007 Henley KM Forum
Different KM approaches?
Greater
chance of
failure
Greater
chance of
success
Goals well defined
Yes No
Methods
well defined
No
Yes
(Turner and Cochrane, 1993)
Suddenly, a
heated exchange
took place
between the king
and the moat
contractor
judy.payne@kmforum.co.u
k

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Knowledge Sharing is Power

  • 1. Knowledge sharing is power Judy Payne, Henley KM Forum October 2007
  • 2.
  • 3. © 2007 Henley KM Forum DATA Dispersed elements INFORMATION Patterned data KNOWLEDGE Validated platform for action WISDOM Implicitly knowing how to generate, access and integrate knowledge Depthofmeaning Tacit Explicit (from Saint-Onge, 1996)
  • 4. © 2007 Henley KM Forum What is knowledge management? Knowledge management means using the ideas and experience of employees, customers and suppliers to improve the organisation’s performance (Skapinker, 2002)
  • 5. © 2007 Henley KM Forum Knowledge networks Communities Expertise directories Capture Codify Store “Explicit” Connect Communicate “Tacit” Document Management Processes and workflows (Larry Prusak, IBM) Knowledge Management Continuum
  • 6. © 2007 Henley KM Forum In practice…  Learning from successes and mistakes – using existing knowledge to improve today’s performance.  Learning how to be more successul – creating new knowledge to improve tomorrow’s performance  Improving collaboration – joining things up  Having the right knowledge in the right place at the right time – to make better decisions
  • 7. © 2007 Henley KM Forum But…  Knowing is a human capability. Knowledge itself can’t be managed.  Collaboration is a pre-requisite for knowledge creation and sharing.  Collaboration is voluntary.  What we can do is create the right environment and provide appropriate tools for people to collaborate and to create and share knowledge.
  • 8. © 2007 Henley KM Forum What KM people talk about - environment Culture Trust Learning Collaboration Strategy Change management Performance Alliances and partnerships Knowledge flows Motivation
  • 9. © 2007 Henley KM Forum What KM people talk about – tools People finders Wikis Extranets and intranets EDMS Post-project reviews After action reviews Storytelling Mentoring and apprenticeships Discussion groups Communities and networks
  • 10. © 2007 Henley KM Forum Henley KM Forum Integrated KM model External relationships Individual employees Organisation  Nine knowledge flows  Four alignment factors that influence the effectiveness of the knowledge flows: – motivation – skills and knowledge – action required – the environment  KM maturity = all nine knowledge flows working together in an integrated and appropriate way
  • 11. © 2007 Henley KM Forum KM challenges in project-based organisations Projects are…  Unique – “my project is different so I can’t learn from yours”  Novel – “no-one will have had this problem before…”  Transient – New relationships for each new project  Closely controlled – No free time or space
  • 12. © 2007 Henley KM Forum Types of project Type 2 Product development Type 1 Engineering Type 3 Systems development Type 4 Research and organisational change Greater chance of failure Greater chance of success Goals well defined Yes No Methods well defined No Yes (Turner and Cochrane, 1993)
  • 13. © 2007 Henley KM Forum Different management approaches Milestones (components of product) Task and activity scheduling Milestones (life cycle stages) Mission definition, team building, refinement of objectives Greater chance of failure Greater chance of success Goals well defined Yes No Methods well defined No Yes (Turner and Cochrane, 1993)
  • 14. © 2007 Henley KM Forum Types of KM practice Informal knowledge systems e.g. social spaces; non-billable time Human resources e.g. training and coaching in KM skills; incentives for knowledge sharing External relationships e.g. benchmarking against competitors; membership of external networks Organisational practices e.g. senior responsibility for KM; well-defined project management processes with embedded KM Project practices e.g. project checklists; shared diaries; project reviews; lessons learned sessions Information technology systems e.g. project extranets; data mining
  • 15. © 2007 Henley KM Forum Different KM approaches? Greater chance of failure Greater chance of success Goals well defined Yes No Methods well defined No Yes (Turner and Cochrane, 1993)
  • 16. Suddenly, a heated exchange took place between the king and the moat contractor

Notas del editor

  1. What’s this? Apart from the fact that it says Knowledge Management at the top, why is it important? Wikipedia has 5.5M users, over 2M articles, website ranked 9 th in the world, 16% of all page views in the world – all this is people sharing knowledge on a voluntary basis. Issues of quality, anonymity, currency, vandalism. Knowledge or information? Public access - different from K sharing within an organisation or project.
  2. Data - discrete, objective facts (exists without people) A TRAIN DEPARTS EVERY 30 MINUTES Information - data that makes a difference, organised data, useful data (exists but personal CONTEXT starts to come in) THE TRAIN I WANT DEPARTS AT 1700 Knowledge – includes experience, values and insights that act as a framework for interpreting new experiences and information – a process, a human cabability. Only exists with CONTEXT – IF I MISS THE 1700 I WON’T BE HOME IN TIME FOR DINNER, I NEED £2 FOR THE CAR PARK Wisdom – even more context, understanding, values – TRAINS RUN ON RAILS, IF I TRAVEL BY TRAIN IT’S BETTER FOR THE ENVIRONMENT THAN IF I TRAVEL BY CAR Explicit knowledge is knowledge that has been codified (words, numbers, other symbols) and is easily transferable. Tacit knowledge can not easily be codified and is not easily transferred.
  3. Includes management of data and information – but this is the easy bit.
  4. 14        Human resource management based practices to encourage knowledge flows directly between people (such as incentives for knowledge sharing, networking initiatives and community building).        Information and communications technology projects to facilitate explicit knowledge flows (such as designing portals and intranets and group decision support systems).        Marketing activities that build relationships to encourage knowledge flows into our organizations (such as creating customer relationship management systems). Financial re-evaluations (such as intellectual capital measurement that provide feedback on the effectiveness of knowledge flows).