Diffusion of innovations
Critics of this model have suggested that it is an overly simplified representation of a complex reality.[citation needed]
A number of other phenomena can influence innovation adoption rates, such as -
- Customers often adapt technology to their own needs, so the innovation may actually change in nature from the early adopters to the majority of users. This is acknowledged, discussed and included in later additions of the Rogers book.
- Disruptive technologies may radically change the diffusion patterns for established technology by starting a different competing S-curve.
- Lastly, path dependence may lock certain technologies in place, as in the QWERTY keyboard.
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See also
- Bass diffusion model
- Creativity techniques
- Crossing the Chasm
- Cultural evolution
- Development communication
- Disruptive technology
- Dual inheritance theory
- Early adopter
- List of emerging technologies
- Logistic function
- Meme
- Path dependence
- Percolation
- Technology acceptance model
- Technology adoption lifecycle
- Technology lifecycle
- The heroic theory of invention and scientific development
- TRIZ
- Two-step flow of communication
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References
- Rogers, Everett M. (1962). Diffusion of Innovations.
- Rogers, Everett M. (2003). Diffusion of Innovations, Fifth Edition. New York, NY: Free Press. ISBN 0-7432-2209-1.
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External links
- Historical look at the Technology Adoption Lifecycle
- The Diffusion Simulation Game, about adopting an innovation in education
- The Pencil Metaphor on diffusion of innovation particularly ICT in education
- Modeling Market Adoption in Excel with a simplified s-curve
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