Cracking the complexity code

There was a good article within the McKinsey Quarterly, published in 2007 entitled “Cracking the complexity code” written by three authors Suzanne Heywood, Jessica Spungin and David Turnbull.

Cracking the complexity code of organizations
Cracking the complexity code of organizations

They lead this article with “one view of complexity that holds that it is largely a bad thing- that simplification generally creates value by removing unnecessary costs”. Certainly we all yearn for a more simplified life, structure, organization, approach to systems or just reducing complexity in our daily lives to find time for what we view as improving its ‘quality’.

Within the article they argue there are two types of complexity – institutional and individual.

Exploring Diffusion and Adoption for Innovation – Part 3

Dealing with DarwinThe future within our engagements will determine diffusion and adoption- part three

One of my favorite books is “Dealing with Darwin– how great companies innovate at every phase of their evolution” written by Geoffrey Moore. It is well worth a read.

When you work through his other books and connect thinking of “Crossing the Chasm” and “Inside the Tornado” you really appreciate the learning stories coming out of Roger Moore’s studies of the Technology Adoption Life-Cycle.

We all need to rethink a lot as the new challenges come rushing towards us.

In his work, Geoffrey Moore talks about ‘traction’ and I think this is a great word for thinking about how to gain diffusion and adoption in product, service or business models, to gain market and customer acceptance.

Exploring Diffusion and Adoption of Innovation – Part 2

Finding itThe future within our engagements will determine diffusion and adoption

It is all about letting go but also grabbing more at the same time, and then finding ‘it’.

Technology has opened up the door to both scale and fragmentation and social business is the one pushing through this open door.

We are increasingly facing the Collaborative Economy everywhere we turn. Social business is becoming the denominator of success or failure.

We are needing to confront the new questions that are emerging
New rules are emerging – you could say new theories – and where are these fitting within the corporate mindset?

Exploring Diffusion and Adoption for Innovation – Part 1

Theory and RealityThe future within our engagements will determine diffusion and adoption- part one.

According to Professor Clayton Christensen and drawn from his book Seeing What’s Next: Using the Theories of Innovation to Predict Industry Change”, by Clayton M. Christensen, Scott D. Anthony, and Erik A. Roth published by Harvard Business School Press, the only way to look into the future is to use theories.

The best way to make accurate sense of the present, and the best way to look into the future, is through the lens of theory.” The theory of innovation helps to understand the forces that shape the context and influence natural decisions.

This might not be fashionable for many because as soon as you introduce “theory” into the discussion for many of my practical colleagues they want to dismiss it.

Going back to Christensen “good theory provides a robust way to understand important developments, even when the data is limited. “Theory helps to block out the noise and to amplify the signal”.

Diffusion of Innovation Theory is important for our innovation understanding

Cracking the complexity code

There was a good article within the McKinsey Quarterly, published in 2007 entitled “Cracking the complexity code” written by three authors Suzanne Heywood, Jessica Spungin and David Turnbull.

Cracking the complexity code of organizations
Cracking the complexity code of organizations

They lead this article with “one view of complexity that holds that it is largely a bad thing- that simplification generally creates value by removing unnecessary costs”. Certainly we all yearn for a more simplified life, structure, organization, approach to systems or just reducing complexity in our daily lives to find time for what we view as improving its ‘quality’.

Within the article they argue there are two types of complexity – institutional and individual.

Making innovation practice spread

Recently I have enjoyed reading Peter J Denning’s thoughts around innovation. He is Distinguished Professor of Computer Science and Director of the Cebrowski Institure for information innovation at the Naval Postgraduate School in Monterey, California.

He discusses adoption, team practices, ubiquity, networks, language actions, the practice of innovation and other related topics. All are stimulating and worth finding the time to read but one caught my eye and

I’ve gone back to it at least four, maybe five times. It intrigues me.  It is entitled “The idea idea” written in early 2011 and asks the question “What if practices rather than ideas are the main source of innovation?”

I think we all agree “ideas pervade our professional work” and as Professor Denning points out “we borrow them, we apply them, we solve problems with them, we create new ones, and we try to foster more of them in our teams”.

We do put a disproportionately greater emphasis on ideas yet as he points out, all these great ideas and the energy applied to them we still end up with really poor adoption rates, he suggests our success rate in business are around 4%.

All of this ‘idea’ energy seems to be wasting so much time, resources and money. He puts this so well “we are idea rich, selection baffled and adoption poor”

The whole thrust of the article is perhaps that innovation is not ideas generated and I agree so much on this, but practices adopted. We need to spend more efforts on the skills and adoption of new practices and as he suggests “as the framework for new practices”

A recognition that innovation is a complex adaptive system

Maybe I’m taking on more than I can chew here but I’m going to attempt to explain why innovation can be so complex and requires an adaptive system.

I apologise if it does not work for you, or you simply just give up on this but I am going to try to explain innovation as a complex adaptive system.

Why- I like the pain involved!  I’m certainly not in any shape or form an expert or even that much of a student of complex systems, and what it fully consists of, but I do need to explore this more, and a little shared pain helps in this as I go.

This issue is one that I consistently come across many references to innovation being a complex system. The trouble is I’ve never been fully clear on what determines the make up a complex system for innovation. I’m not sure anyone does for complex systems either!

So my aim here is to establish a direct and clear set of links across innovation and complexity without it involving me in ploughing through incredibly ‘dense’ academic papers on this subject.