Connecting people is far less efficient than Collecting while being far more effective – but how much more effective?

Knowledge can be transferred in two ways – by Connecting people so that they can discuss, and Collecting knowledge in written (explicit) form so others can find and read it (see blog posts on Connect and Collect). 

Connecting people is less efficient than transferring documented knowledge, but more effective.  We can never be sure about the absolute effectiveness of knowledge transfer without some good empirical studies, but there are 2 pointers towards the relative effectiveness of these two methods. These pointers are as follows;

First, the often repeated (and sometimes challenged) quote that “We Learn . .

• 10% of what we read 
• 20% of what we hear 
• 30% of what we see 
• 50% of what we see and hear 
• 70% of what we discuss 
• 80% of what we experience 
• 95% of what we teach others.”

This is similar to Media Richness theory, which ranks media on the basis of it’s richness, with unaddressed documents as least rich, and face-to-face as most rich.

Second, David Snowden’s principle that

• We always know more than we can say, and 
• We will always say more than we can write down

we always know 3 times more than we can say, and we will always say 3 times more than we can write down, Collecting becomes 21 times less effective, and so on.

The heart of KM keeps knowledge flowing, and that heart has two chambers. 

Image from wikipedia

You can think of the organisation as a body, and knowledge flowing round the organisation like blood flows round a body.  But what is at the heart of KM? Is it knowledge sharing? Is it communities of practice? Is it knowledge creation?

The answer is that if there is a heart, it is not a single thing, but two chambers working together.  The two chambers are our old friends Connection and Collection; the Connect and Collect routes for knowledge transmission through Conversation and Content respectively. 

• In the Connect route, Knowledge is transferred through conversation – either face to face or electronically mediated. 
• It can be supported by processes such as Peer Assist, Knowledge handover, knowledge exchange, knowledge markets, knowledge cafes, action learning, after action review, mentoring, coaching, and communities of practice.  
• It can be supported by technologies such as collaboration tools, people-finders, community forums, webex, telephone and skype. 

Collection 

Collection supports knowledge transfer through collecting documented knowledge, synthesising it, sharing it and making it findable.

There is no one-size-fits-all solution for knowledge transfer, because not every transfer context is the same.  However we can look at four main classes or types of knowledge transfer, by looking at the dimensions of TIME and LOCATION.

There are other dimensions as well, such as whether the transfer is Expert/Expert, Expert/Novice etc, but let’s stick with 2 dimensions at a time, as that helps build a Boston Square, as shown here. 

OTJ (On The Job) Transfer

The transfer of knowledge between people or teams who are co-located – doing the same sort of work at the same time in the same place – can be done on the job. This is the sort of context you see within a project team. The knowledge does not need to be documented in order to be transferred, and because everyone is working with the knowledge every day, then your focus should be more on conversations about knowledge rather than building knowledge bases. Knowledge can be transferred through embedding processes like mentoring, coaching, and particularly After Action Reviews, as well as through numerous informal conversations. 

Serial transfer

The transfer of knowledge within a series of projects in the same location, one after the other (and often with the same team) is called serial transfer. Much serial transfer can be accomplished by the transfer of project plans, designs, basis of design documents, and so on, as well as by transferring lessons learned, and transferring core team members. Project knowledge handover meetings can also be useful – sometimes known as baton-passing. The focus here is less on conversation, and more on transfer and continuous improvement of artefacts. This can results in excellent examples of steep learning curves.

Knowledge transfer between individuals working in the same place but at different times is accomplished by personal knowledge handover – a planned set of conversations, and compilation of a set of key documents, contacts, lessons and tips and hints. This can be part of a Knowledge Retention Strategy.

Parallel transfer

The transfer of knowledge between a series of projects running simultaneously but in different locations, or between many individuals doing the same work in different parts of the business, is called parallel transfer. This can rely heavily on face-to-face activities such as peer assist, and knowledge visits, as well as real-time transfer of knowledge through communities of practice, online forums and enterprise social media. Because operations are simultaneous and continuous, much knowledge can remain tacit, and the focus is on conversation rather than content.

Far Transfer

The transfer of knowledge between projects running in different times and different places, or from person to person separated by time and distance, is called far transfer (a term coined by Nancy Dixon). Far transfer cannot rely on real-time conversations, or on simply transferring project plans, as the next project may take place in a completely different country in several years time. Knowledge will need to be transferred in written form as a knowledge asset, or as a series of Lessons Learned. Far Transfer relies on captured knowledge, the development of knowledge assets, and careful attention to well written and easily findable advisory and instructional content.

There is no one-size-fits-all approach to Knowledge Transfer; it depends on the specific context, which may  be one of the four described here. 

Many people prefer to use the term “Knowledge Sharing” instead of “Knowledge Management”. However as a synonym “Knowledge Sharing” is inadequate and misleading. 

Sharing is Caring by Fabian Rosdalen on Flickr

Tags

After Action Review asking best practice case study cognitivie bias communication communities of practice conversation culture Definition embedding experts failure story framework governance implementing KM incentives innovation KM industry KM pilot KM Team knowledge capture knowledge re-use knowledge seeking knowledge sharing knowledge transfer learning from experience lessons learned metrics peer assist Policy project KM quantified question roles searching selling standards strategy survey synthesis technology value video wiki

Recent Posts

• Do you always need content as part of KM?
• Auto-segmenting objects when performing semantic segmentation labeling with Amazon SageMaker Ground Truth
• Do you always need conversation as part of KM?
• Amazon Polly Neural Text-to-Speech voices now available in Sydney Region
• 7 ways to speed up your KM

Tweets by CYBERCASEMANAGR