Forecasting cross-population innovation diffusion: A Bayesian approach

Volume: 22, Issue: 3, Pages: 293 - 308
Published: Sep 1, 2005
Abstract
We introduce a cross-population, adaptive diffusion model that can be used to forecast the diffusion of an innovation at early stages of the diffusion curve. In this model, diffusion patterns across the populations depend on each other. We extend the model presented by Putsis, Balasubramanian, Kaplan and Sen (1997) [Putsis, W.P., Balasubramanian, S., Kaplan, E.H., Sen, S.K., 1997. Mixing behavior in cross-country diffusion. Marketing Science, 16...
Paper Details
Title
Forecasting cross-population innovation diffusion: A Bayesian approach
Published Date
Sep 1, 2005
Volume
22
Issue
3
Pages
293 - 308
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