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KSS3: A transition to solutions

January 15, 2010

So far I have talked about the issues and common misunderstandings as to the nature of the problem and its resolution. I then developed a series of core principles that should be applied in this ever present issue in organisations. I now want to move on to describe solutions based on those principles, which hopefully avoid the misunderstandings! This will take four more posts starting tomorrow and I will cap the whole thing with a summary which will include a reflection on ethical issues.

I am going to address solutions as follows:

  • I will start by updating one of the earliest applications of the Cynefin framework, namely is application to communities and social interaction in general. When this was originally published social computing was a glimpse in eyes of a very small number of pioneers and communities of practice were all the rage (regrettably they still are, but that is getting ahead of myself) and we didn’t have the level of awareness we now have for complexity theory.
  • That will lead logically into what I call messy coherence in which I will look at the way in which social computing can be used, including methods such as blog storms. This will include some reflections on granularity and modularisation
  • I will then look at approaches to innovation involving SenseMaker™ which allow an distributed ethnographic approach to linking and connecting issues and ideas.
  • Finally I will look at new organisational forms, in particular the use of crews. This is something I have talked about before, but this will be a more elaborate version, with more detail on implementation.

I have also renamed the posts, abbreviated Knowledge Sharing Across Silos to KSSn which allows me to provide a more meaningful title for each post.

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The Cynefin Company (formerly known as Cognitive Edge) was founded in 2005 by Dave Snowden. We believe in praxis and focus on building methods, tools and capability that apply the wisdom from Complex Adaptive Systems theory and other scientific disciplines in social systems. We are the world leader in developing management approaches (in society, government and industry) that empower organisations to absorb uncertainty, detect weak signals to enable sense-making in complex systems, act on the rich data, create resilience and, ultimately, thrive in a complex world.
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