The technology adoption lifecycle is a sociological model that is an extension of an earlier model called the diffusion process, which was originally published in 1957 by Joe M. Bohlen, George M. Beal and Everett M. Rogers at Iowa State University and which was originally published only for its application to agriculture and home economics).[1] building on earlier research conducted there by Neal C. Gross and Bryce Ryan.[2][3][4] Their original purpose was to track the purchase patterns of hybrid seed corn by farmers.
Beal, Rogers and Bohlen together developed a model called the diffusion process and later, Everett Rogers generalized the use of it in his widely acclaimed book Diffusion of Innovations (now in its fifth edition), describing how new ideas and technologies spread in different cultures. Others have since used the model to describe how innovations spread between states in the U.S.[7]
The technology adoption lifecycle model describes the adoption or acceptance of a new product or innovation, according to the demographic and psychological characteristics of defined adopter groups. The process of adoption over time is typically illustrated as a classical normal distribution or "bell curve." The model indicates that the first group of people to use a new product is called "innovators," followed by "early adopters." Next come the early and late majority, and the last group to eventually adopt a product are called "laggards".
The demographic and psychological (or "psychographic") profiles of each adoption group were originally specified by the North Central Rural Sociology Committee, Subcommittee for the Study of the Diffusion of Farm Practices (as cited by Beal and Bohlen in their study above).
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