Calantone, R. J., Cavusgil, T., Zhao, Y. (2002)
Paper that defines and describes learning orientation. Used in my article on improving the innovativeness of organisations.
There are 68 search results for: open innovation
Calantone, R. J., Cavusgil, T., Zhao, Y. (2002)
Let's define innovation, avoiding the trap of value-in-exchange (that normal definitions have) and open our thinking up for wider success.
Innovation is creating and offering a new (to the organisation, market/industry, or world) value proposition:
Note, in particular, how our service-dominant logic lens steers us to focus differently on value. compared to normal old-school definitions
Lindblom, S. (2017)
Diffusion happens across a social network. Can we take advantage of that network's structure to accelerate diffusion?
To do so, we look at the network's topology. Its centricity, density, weak ties, structural holes etc
Which. in plainer speak, are the influencers, and Gladwell's Mavens, connectors etc. And where we might need to target a few innovator types, or many
Can we define what a service is in a more formal way? And then use that to better understand what innovation means?
Yes we can. Service(s) can be defined as lists of:
Service innovation is then the act of adjusting these competences and characteristics to generate new/additional value
Innovation resistance – users postponing, rejecting, or even objecting/demonstrating against – is the sadly neglected child.
We are all familiar with its sisters: diffusion and adoption. Yet, we see innovations failing again and again. And not addressing innovation resistance is a candidate for why this is so. As well as for why 94% of executives are disappointed with innovation performance. Why? Well, in order to get adoption we have to:
In this article, we look at innovation resistance and why it occurs.
Randhawa, K., Scerri, M., (2015)
How should you build up your supply chain? What are the real market sizes of Rogers' adopter types? When is best to launch the next generation of your innovation?
To answer those, we take a deeper look at the mathematics behind Bass' Diffusion Model
The maths helps us understand the split of innovator and imitator types - captured as two co-efficients in the formula. That allows us to understand where to apply internal and external influence. We can use existing sales (or a comparator) to derive these two co-efficients and therefore predict adoption. That helps us manage supply chains and real market size. Additionally, we can determine when it is best to launch the next generation of the innovation (and see what happens when we lauch to early or late)
And, best of all...it all fits real life!
It's time to revisit and update den Hertog's 2000 service innovation model. Reflecting both how the world looks now, 20 years later, as well as folding in modern theories such as servie-dominant logic, job to be done, blue ocean, as well as addressing innovation resistance
I propose the following updates
Innovation adoption is when individuals or organisations decide and start using an innovation.
We'll look at the classic adopter types, the adoption decision steps, and how adoption can be accelerated
But also we'll put the adoption decision in the context Christensen's Job theory (big and little hires). And see how resistance to innovation should be included in the classic adoption steps