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The technology adoption lifecycle is a sociological model that 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 rates of adoption for innovations are determined by an individual's adopter category. In general, individuals who first adopt an innovation require a shorter adoption period (adoption process) when compared to late adopters. Within the adoption curve at some point the innovation reaches critical mass. This is when the number of individual ...
Consumer adoption of technological innovations is the process consumers use to determine whether or not to adopt an innovation.This process is influenced by consumer characteristics, such as personality traits and demographic or socioeconomic factors, the characteristics of the new product, such as its relative advantage and complexity, and social influences, such as opinion leaders.
This model has been widely influential in marketing and management science. In 2004 it was selected as one of the ten most frequently cited papers in the 50-year history of Management Science. [3] It was ranked number five, and the only marketing paper in the list. It was subsequently reprinted in the December 2004 issue of Management Science. [3]
Crossing the Chasm: Marketing and Selling High-Tech Products to Mainstream Customers or simply Crossing the Chasm (1991, revised 1999 and 2014), is a marketing book by Geoffrey A. Moore that examines the market dynamics faced by innovative new products, with a particular focus on the "chasm" or adoption gap that lies between early and mainstream markets.
Adoption is the reciprocal process as viewed from a consumer perspective rather than distributor; it is similar to diffusion except that it deals with the psychological processes an individual goes through, rather than an aggregate market process.
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Technology adoption is the most common phenomenon driving the evolution of industries along the industry life cycle. After expanding new uses of resources they end with exhausting the efficiency of those processes, producing gains that are first easier and larger over time then exhaustingly more difficult, as the technology matures .