Abstract
Models of innovation uptake can be based on various factors: a) rational decision-making with regards to the intrinsic value of a product; b) social spreading of technology or ideas induced by peer-to-peer communication of information; c) interaction with the “market' via a global feed-back.
For certain innovative technologies or behaviours the decision to adopt may be based on a combination of these factors. This is particularly the case for energy-related innovations, where some are more visible and socially desirable (such as solar panels) compared to others which are hidden (such as home insulation).
We introduce a threshold diffusion model for the dynamics of the adoption of such innovations that is based on a combination of all three factors, along with dynamical-systems inspired methods for analysing and understanding the numerically observed diffusion behaviour.
For certain innovative technologies or behaviours the decision to adopt may be based on a combination of these factors. This is particularly the case for energy-related innovations, where some are more visible and socially desirable (such as solar panels) compared to others which are hidden (such as home insulation).
We introduce a threshold diffusion model for the dynamics of the adoption of such innovations that is based on a combination of all three factors, along with dynamical-systems inspired methods for analysing and understanding the numerically observed diffusion behaviour.
| Original language | English |
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| Publication status | Unpublished - 2013 |
| Event | SIAM Conference on Applications of Dynamical Systems - Snowbird, Utah, USA, Salt Lake City, USA United States Duration: 19 May 2013 → 23 Dec 2013 |
Conference
| Conference | SIAM Conference on Applications of Dynamical Systems |
|---|---|
| Country/Territory | USA United States |
| City | Salt Lake City |
| Period | 19/05/13 → 23/12/13 |
