Knowledge management model

Does Knowledge Management Need A Maturity Model?

Just of late I've encountered a number of capability maturity models aimed at knowledge management. Capability maturity models have been around for a while in other disciplines, most notably in software development projects. Almost all of the models owe their origins to the collaboration between the US Department of Defense and the Software Engineering Institute of Carnegie Mellon University. The Capability Maturity Model was originally a tool to assess processes - in particular the processes of a contracted third party. In that sense its intent was to reduce risk.

Capability models now abound and even have been internationally standardised as part of ISO 15504 . ISO 15504 sets six levels of capability maturity as follows:

  • Level 5 - Optimising Process,
  • Level 4 - Predictable Process,
  • Level 3 - Established Process,
  • Level 2 - Managed Process,
  • Level 1 - Performed Process, and
  • Level 0 - Incomplete Process.

Notice anything here? It's all about process. Putting aside definitional issues, last time I looked knowledge management was about people, process, technology, and content. Capability maturity models are about process, so it begs the question "Does knowledge management really need a maturity model"? ...

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The Six Knows Model and Visual Thinking

A simple model which I find useful is the “Six Knows Knowledge Model ” shown below. The model has its origins in the Rudyard Kipling poem “I Keep Six Honest Serving-Men ” , but no doubt I will be challenged on this assertion! That said it is a model that serves me well, except I would add ‘know how much’ as a node.

The Six Knows Knowledge Model

Now Dan Roam , quite independently of me, has enhanced the usefulness of the model by introducing a visual thinking element to it - he's also picked up on the how much dimension. Have a look at this presentation , but in particular slide seven (the preceding slides give some background and explanation). What I really like is the ability to add some discipline and consistency to my mind-mapping and rich pictures. ...

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The STEEP Knowledge Management Framework

On the 26th of May I will be the guest lecturer on a management course at the Australian National University . I'm supposed to be talking about risk management and networks. Now part of the required reading for the students, which I thought I'd better read, was an article by Mickey Butts, Rebecca Wayland, and Lawrence Wilkinson called "Navigating the new realities of risk". The article was published by the Global Business Network and is very interesting in its own right. But the thing that really caught by attention was the STEEP framework, because I could immediately see it has utility as a knowledge management framework.

Now we're all familiar with the people, process and technology mantra, however I've always thought it lacked something. STEEP is an acronym for social, technological, economical, environmental, and political, which as a knowledge management framework I quite like. I think as a diagram it would look something like the picture below, noting it's a bit raw and unsophisticated.

The STEEP Knowledge Management Framework

Now it seems to me the STEEP framework captures all the considerations for a knowledge management system. ...

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Applied RAAKERS™

A colleague has completed an analysis, using my RAAKERS™ framework, of two organisations which are located on different continents from the parent organisation. The results are very interesting. Just to refresh your memory RAAKERS™ is an acronym for responsibility, authority, accountability, knowledge, experience, resources and systems. RAAKERS™ is a risk and knowledge management framework to assess where an organisation’s weaknesses might be. Consider the graph below.

RAAKERS™ Diagnostic - Organisation 1

The dark green bars are the possible scores for RAAKERS™ components in this order – responsibility, authority, accountability, knowledge, experience, resources and systems. The coloured bars indicate the strength of the component. Red bars are a score of less than four. Orange bars are a score between four and nine. Light green bars are a score greater than nine. ...

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Knowledge Productivity™ Thesis

For a long time now I have thought knowledge management is all about individual, group and enterprise productivity. I feel so strongly about this that I use the term knowledge productivity™ in favour of knowledge management. Why? Well knowledge management at the moment can mean whatever one wants it to mean! Indeed this was the key finding of a bunch of so-called knowledge management practitioners at one of the major knowledge management conferences of 2007 – see my Black Art Definitions post for a rant on this finding! Apparently juggling is also an essential skill for knowledge management, but I digress. In conjunction with Pat Byrne I have been writing and presenting on knowledge productivity™ since 2003. It was heartening therefore to discover Christiaan Stam's PhD thesis - 'Knowledge productivity: designing and testing a method to diagnose knowledge productivity and plan for enhancement '.

Stam says knowledge productivity™ “is the process of converting knowledge into something of value” and later defines it as “management ability to generate knowledge-based results”. Patrick Byrne and I have defined knowledge productivity™ elsewhere, and a bit more expansively, as being:

“… a trans-disciplinary approach that integrates tools, techniques, and strategies to retain, organise, share, analyse, improve, and apply business expertise. It is a disciplined, deliberate, purposeful, and conscious method to manufacture knowledge from data, information and experience. Of necessity it involves the design, implementation and review of processes to improve knowledge creation and sharing behaviours. Ultimately knowledge productivity™ relies on individual and collective discipline to follow organisational process to achieve business objectives”. ...

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