A multi-attribute diffusion model for forecasting the adoption of investment alternatives for consumers

This article develops a diffusion model that incorporates potential adopters' perceptions of the relevant innovation attributes in explaining the rate of adoption of an innovation. Data from 14 investment alternatives currently available to consumers are used to develop a multi-attribute diffusion model for forecasting the acceptance of a potential investment alternative. Limitations and further extensions of the proposed model are also discussed.