Diffusion model
When and how should diffusion model be applied?
Contents
In 1969, Frank Bass introduced his diffusion model, or innovation adaptation model.
Frank Bass introduced the diffusion model in 1969 to forecast how a market adopts a new durable product. The model separates adoption driven independently by external influence from adoption encouraged by prior users, producing the familiar rise, peak and decline of new adopters over time.
When to use it
Use the Bass model when forecasting adoption, sales or installed-base growth for a genuinely new product, technology or service with limited historical demand data. It can support production, capacity and launch planning.
Price, advertising, geographic sequencing and launch phasing can shift the timing and parameters of adoption. The model’s characteristic curve is robust, but it should not be treated as immune to management action or market disruption.
The distinction between innovators and imitators explains why early external influence can start adoption and social or market interaction can accelerate it. This is compatible with Everett Rogers’s adopter categories: innovators, early adopters, early majority, late majority and laggards.
Origins
Frank M. Bass published the model in 1969 in his Management Science article “A New Product Growth Model for Consumer Durables.” He combined independent adoption and imitation in one parsimonious mathematical structure. Rogers’s earlier diffusion research provided important behavioural context, but the Bass model is a distinct forecasting equation.
What it is
Assume a fixed pool of potential adopters. Some adopt because of external influence such as advertising, distribution or independent interest; the model represents this with the innovation coefficient p. Others become more likely to adopt as the installed base grows; the imitation coefficient q represents that internal influence. The interaction produces an S-shaped cumulative-adoption curve and a single-peaked flow of new adopters.
The model does not directly classify people as permanently innovative or imitative. Its coefficients describe aggregate adoption dynamics for a particular innovation in a particular market.
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