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This study deals with the dynamic sales behavior of successive generations of high-technology products. New technologies diffuse through a population of potential buyers over time. Therefore, diffusion theory models are related to this demand growth. Furthermore, successive generations of a technology compete with earlier ones, and that behavior is the subject of models of technological substitution. Building upon the Bass (Bass, F. M. 1969. A new-product growth model for consumer durables. Management Sci. 15(January) 215–227.) diffusion model, we develop a model which encompasses both diffusion and substitution. We demonstrate the forecasting properties of the model by estimating parameters over part of the data and projecting shipments for later periods.
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John A. Norton
George Mason University
Frank M. Bass
The University of Texas at Dallas
Management Science
University of Virginia
The University of Texas at Dallas
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Norton et al. (Tue,) studied this question.
synapsesocial.com/papers/6a10706c96ccf43280602652 — DOI: https://doi.org/10.1287/mnsc.33.9.1069