Technology adoption life cycle

The process of adoption over time is typically illustrated as a classical normal distribution or "bell curve".

The model calls the first group of people to use a new product "innovators", followed by "early adopters".

[2] The model has spawned a range of adaptations that extend the concept or apply it to specific domains of interest.

In medical sociology, Carl May has proposed normalization process theory that shows how technologies become embedded and integrated in health care and other kinds of organization.

[6] Stephen L. Parente (1995) implemented a Markov Chain to model economic growth across different countries given different technological barriers.

One way to model product adoption[9] is to understand that people's behaviors are influenced by their peers and how widespread they think a particular action is.