Bass Diffusion Model
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    • bass diffusion model
    The Bass Diffusion Model on the adoption and diffusion of new products and technologies by Frank M. Bass (A New Product Growth Model for Consumer Durables, 1969, Management Science, 15 , 215-227) and the later extensions of diffusion theory are used for market analysis and demand forecasting of new technologies. The Bass diffusion model is one of the tools to describe, and sometimes predict, the number of purchases for new consumer durable products.

    Experience from many innovations shows that the spread of a new method or concept in a market can be characterized by the Bass formula:

    Parameters of the Bass Diffusion Model

    The three parameters of the Bass Diffusion Model to predict Nt (Number of adopters at time t) are:

    · m = the market potential; the total number of people who will eventually use the product

    · p= the coefficient of innovation (external influence); the likelihood that somebody who is not yet using the product will start using it because of mass media coverage or other external factors

    · q= the coefficient of imitation (internal influence); the likelihood that somebody who is not yet using the product will start using it because of "word-of-mouth" or other influence from those already using the product.

    See the picture on the right for a typical graphic of the standard bass curve (with the average values of p and q of 0.03 and 0.38, respectively).

    Usage of the Bass Diffusion Model

    Bass diffusion theory is simple enough to allow a first assessment. There is no immediate need for further complex modeling. However care must be taken as the standard model is only one of the many models of technology diffusion. Many variations on the Bass Diffusion Model have been developed over time, often claiming further precision or applicability for certain circumstances.

    The dynamics of the innovation uptake curves, and how the technology or its application diffuse into the market, is a crucial analytic tool when assessing the business case for internal or external investments in new technologies. For early stage investments or internal business cases for new products, it is essential to have some understanding of the likely diffusion of the technology. By not having a mental model to test against reality, the amount of capital, time to market and the window of opportunity can be grossly misjudged. Diffusion of innovation models are important tools for effectively assessing the merits of investing in technologies that are new or novel and do not have prima facie, predictable patterns of user up-take.
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