Here we take a deeper look at the mathematics behind innovation diffusion - Bass' Diffusion Model
Far from being boring, the maths helps us understand the split of innovators from imitators (so you can understand where to apply internal and external influence
It helps us get better view of the size of Rogers' adopter types, rather than using just standard deviations. We can predict what the market sizes will be to help with logistics (in product innovation). Additionally, we can see the impact of multi-generations of innovation; and when best to launch
In 2000 den Hertog published his model of services innovation.
It looked at the aspects involved in any service innovation, including the concept, the interface to the client and the backend systems required to implement. It additionally looked at capabilities a company needed (has) to implement the innovation
Now we can take den Hertog's model and re-imagine it in a world that is technology and data first
It is via communication, through a network of people (and organisations). Technically this is called diffusion.
I take a network first approach to exploring this question. Putting into context the well known adoption curve, crossing the chasm and the tipping point (where diffusion and adoption accelerates). And gives us insights into how to best position ourselves for diffusion success