Place Your Future Bets – Invest In Innovation Capital

Value of Innovation CapitalRecognizing the value of our innovation-related assets is where the smart money should go, and then we need to invest in innovation capital. To gain growth and improve productivity is through innovation. We need to translate knowledge into new values.

When you pause and consider the make-up of Innovation Capital you realize it makes such an economic contribution and in a report from McKinsey & Co, they have set about identifying this to produce the above summary, covering 16 countries, to understand the real value of this Innovation Capital.

These numbers are big and still don’t fully capture everything associated with innovation as much remains ‘hidden’ or ‘attached’ to other activities as well.
We need to shift our thinking on what makes up Innovation Capital

Recognizing your type of innovation leader

Two personalities 1
Often innovation succeeds or fails by the personal involvement and engagement of a ‘selected’ few- they make it happen as they are the heavyweights that have the final say.

We all need to recognize the type of innovative leadership personality within our organization, the ones we are working for, as this might help you manage the innovation work a whole lot better and attract the resources you need.

So can you recognize the traits of your innovation leader?

Are they front-end or back-end innovation leaders? Here’s how you can begin to spot the difference.

Building upon four key wealth creating pillars

Wealth creation 1Most rooms we enter have four sides and are traditionally built on a standard four-pillar design; they provide the structure to build upon.

Presently in many of our economies, particularly in the West, we are struggling to find real growth; we are limited in our wealth-creating possibilities.

Why is that? Our structures seem to be weak, not strong.

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

Opening up the Stage-Gates to let the new innovating world in?

Stage Gate hurdlesThere is no question the Stage-Gate process has had a significant impact on the conception, development and launch of new products.

Yet there have been consistent criticisms of it, as the world of innovation has moved on. Today it is faster-paced, far more competitive and global and become less predictable.

The cries of the Stage-Gate process as being too linear, too rigid and far too planned, bordering on prescriptive have often been heard. The gates are too structured and the constant ‘creep’ of the controlling bureaucracy surrounding it in paperwork, checklists and justification has simply led to so much non-value-added work added to the moans and groans.

Surprisingly, the Stage-Gate concept was created in the 1980’s and led to Robert G Cooper’s different evolutions of this evolving and absorbing many new practices and experiences gained by different organizations across this time.

So what is holding innovation back? A new GE report

GE Global Innovation Barometer 2014I always look forward to the GE Global Barometer and the 2014 report is no exception, actually it really has moved the needle on what is presently holding innovation back.

The Barometer has explored the actions or constraints that senior business executives are worrying over in their pursuit of innovation.

The fieldwork was undertaken in April and May, 2014 and covered 3,200 phone interviews to people directly involved in the innovation strategy or process. It covered 26 countries and was conducted by Edelman Berland on GE’s behalf.

The supporting website provides the GE view of how this report reflects and provides an overview, an interactive, resources and key point headings sections to explore.

I  personally think GE have actually been a little too low-key on this report and frankly far too conservative on the potential takeaways in reading their ‘take’ in the overview.

It has significant implications for our organizations to grapple with but each is certainly not alone, it is a collective need to move innovation forward or you place much at risk if you don’t find solutions to the issues raised in this report.

This year the Barometer broke out of its past and steamed ahead.

The Use of the Cynefin Model for Innovation Management

Cynefin Revised 1
The Cynefin Framework is a sense-making one and is registered copyright to Cognitive Edge

Firstly a very brief explanation of the Cynefin Model and why I find it highly valuable for innovation management.

Innovation has many characteristics of a complex adaptive system as I have crudely attempted to explain here.

The three primary states within the Cynefin framework are Ordered Systems (including Obvious and Complicated), Complexity and Chaos.

Order is split into two, as this handles a key difference in human knowledge between those states, where the cause and effect relationship is obvious and those where it requires greater analysis or expertise.

Exploring a process of emergent discovery for innovation

Most innovators are working in and certainly are far more familiar with the ordered domains, for ‘obvious’ innovations that extend, enhance or evolve their existing products and services.

Equally, they understand their more specialised place and contribution to be growing in their comfort, in the part they play in the more ‘complicated’ domain, where expertise, dedicated focus and specialization are often required or called upon.

Are our organizations ossifying their innovation or simply have no clue?

Innovate or dieThe balance between risk mitigation and being equipped for risk readiness is still an ongoing struggle to balance for most organizations in their innovation activities.

There is still a continued reluctance for exploring new radical innovation opportunities and although organizations ‘talk’ growth, they continue to struggle in achieving it through new innovation.

The incremental commitments to innovation still rule the day to move growth along. Until new sustaining confidence returns to our economies, risk mitigation dominates as markets continue to be more volatile and unreliable in predictive data and executive sentiment remains cautious.

Our organizations are looking for a higher certainty of return and seek sometimes endless validation and justification before they commit, even to small incremental changes. It is no wonder incremental innovation dominates in our innovation decisions; it is where reality sits for many. Are we heading off in a bad innovation direction?