This paper assesses the performance of the Bass New Product Growth Model in forecasting quarterly and annual sales of optical scanning equipment for supermarkets in the U.S. The model is run with both constrained and unconstrained estimates of market potential.
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References
1.
AdlerC. R. (1979), “Forecasting for New Products without Sales Data with a Life Cycle Model,” working paper, Eastman Kodak.
2.
BassF. M. (1969), “A New Product Growth Model for Consumer Durables,”Management Science, 15 (January), 215–227.
3.
EideK., and NessR. (1974), “Estimation Algorithm,” working paper, Krannert Graduate School, Purdue University.
4.
FourtL. A., and WoodlockJ. W. (1960), “Early Prediction of Market Success for New Grocery Products,”Journal of Marketing, 25 (October), 31–38.
5.
HeelerRoger M., and HustadThomas P. (1980), “Problems in Predicting New Product Growth for Consumer Durables,”Management Science, 26 (October), 1007–1020.
6.
MahajanV., and MullerE. (1979), “Innovation Diffusion and New Product Growth Models In Marketing,”Journal of Marketing, 43 (Fall), 55–68.
7.
MansfieldE. (1961), “Technical Change and the Rate of Imitation,”Econometrica, 29 (October), 741–766.
8.
Progressive Grocer (1979), “1978 Grocery Store Sales,” (April), 60.
9.
RogersE. M. (1962), Diffusion of Innovation, New York: The Free Press.
10.
SAS/ETS User's Guide (1980), Econometric and Time-Series Library, NC: SAS Institute Inc.
11.
TigertD. (1980), “The Impact of Change on Retail Structure, Strategy, and Performance,”Proceedings of the ESOMAR Conference on Social Change, Amsterdam: ESOMAR.
