A review of the literature from many disciplines reveals conceptual agreement that individuals choose among alternatives by comparing the attributes of the alternatives in a sequential process. Yet in almost all the published empirical work the model used is a simultaneous compensatory model...

Existing single-adoption diffusion models assume a static (constant) ceiling on the number of adopters, that is, a constant population of potential adopters, over the entire time frame of the diffusion process. However, for most innovations this assumption is tenuous. Rather, the ceiling, or the...

A model of the diffusion process is developed which recognizes (1) the interaction between adopters and non-adopters and (2) the influence of external information sources such as advertising. The model is extended by incorporating the effects of repeat purchasing. The models written by the...

A model of the innovation diffusion process is developed using a micromodeling approach that explicitly considers the determinants of adoption at the individual level in a decision analytic framework, and incorporates heterogeneity in the population with respect to initial perceptions,...

This paper draws on econometrics, von Neumann-Morgenstern utility theory, stochastic choice theory, and consumer behavior to develop five basic axioms or postulates of stochastic choice behavior. These axioms imply the existence and uniqueness of a preference function which identifies how...

Erratum to Mahajan, Vijay, Robert A. Peterson. 1978. Innovation diffusion in a dynamic potential adopter population. Management Sci. 24 (15) 1589--1597.