Diffusion is the process by which a new idea or new product is accepted by the market. The rate of diffusion is the speed with which the new idea spreads from one consumer to the next. Adoption is similar to diffusion except that it deals with the psychological processes an individual goes through, rather than an aggregate market process.
Theories
There are several theories that purport to explain the mechanics of diffusion:
The two-step hypothesis – information and acceptance flows, via the media, first to opinion leaders, then to the general population
The trickle-down effect – products tend to be expensive at first, and therefore only accessible to the wealthysocial strata – in time they become less expensive and are diffused to lower and lower strata.
*Laggards – neighbours and friends are main info sources, fear of debt.
Crossing the Chasm model developed by Geoffrey Moore – This model overlays the Everett Rogers' adoption curve with a 'chasm'. According to Moore, the marketer should focus on one group of customers at a time, using each group as a base for marketing to the next group. The most difficult step is making the transition between visionaries and pragmatists. This is the chasm that he refers to. Technologies or products that cannot cross this chasm will die or remain niche. If successful, a firm can create a bandwagon effect in which the momentum builds and the product becomes ubiquitous.
Technology driven models – These are particularly relevant to software diffusion. The rate of acceptance of technology is determined by factors such as ease of use and usefulness.
Rate
According to Everett M. Rogers, the rate of diffusion is influenced by:
Penetration models – use test marketdata to develop acceptance equations of expected sales volume as a function of time. Three examples of penetration models are:
*Bass trial only model
*Bass declining trial model
*Fourt and Woodlock model
Trial/Repeat models – number of repeat buyers is a function of the number of trial buyers.
Deterministic models – assess number of buyers at various states of acceptance – later states are determined from calculations to previous states.
Stochastic models – recognize that many elements of the diffusion process are unknown but explicitly incorporate probabilistic terms.