论文信息 - A product diffusion model incorporating repeat purchases

A product diffusion model incorporating repeat purchases

Abstract A logistic-based model for forecasting the rate of product diffusion given aggregate time series data was constructed. The model differs from earlier models based on fitting the logistic to aggregate data in that it includes a submodel to separate replacement demand from first-time sales. We fit the theoretical model to data and show that forecasts will be significantly more accurate using this model instead of the logistic curve.

Seungmook Choi | J. A. Olson | Seungmook Choi | Jerome A. Olson

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