Abstract
Is there a ‘best’ diffusion model? How many and which parameters will adequately represent the long-run diffusion process? Two studies using first purchase data for nineteen durable goods are used to systematically compare twenty-four alternative diffusion models: a meta-analytic study, which pools across categories, and an economic approach, which determines the best fitting model for each category individually. A number of guidelines are produced, which stand to improve the choice of diffusion models in forecasting, theory testing, and normative studies.
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References
Bass, Frank M. (1969). “A New Product Growth Model for Consumer Durables,”Management Science 15, 215–227.
Clarke, Yvonne, and Geoffrey N. Soutar. (1982). “Consumer Acquisition Patterns for Durable Goods: Australian Evidence,”Journal of Consumer Research 8 (March), 456–459.
Cox, D. R. (1962). “Further Results on Tests of Separate Families of Hypothesis,”Journal of the Royal Statistical Society Series B, 24, 406–424.
Easingwood, Christopher, Vijay Mahajan, and Eitan Muller. (1983). “A Nonuniform Influence Innovation Diffusion Model of New Product Acceptance,”Marketing Science 2 (Summer), 273–296.
Floyd, A. (1962). “Trend Forecasting: A Methodology for Figure of Merit.” InTechnological Forecasting for Industry and Government: Methods and Applications, J. Bright (ed.), Englewood Cliffs, NJ: Prentice-Hall, Inc., 95–105.
Hauser, John R., and Glen L. Urban. (1986). “The Value Priority Hypotheses for Consumer Budget Plans,”Journal of Consumer Research 12 (March), 446–462.
Hendry, I. (1972). “The Three Parameter Approach to Long Range Forecasting,”Long Range Planning 51 (March), 40–45.
Infosino, William J. (1988). “Forecasting New Product Sales from Likelihood of Purchase Ratings,”Marketing Science 5, 4 (Fall), 372–390.
Jain, Dipak C., and Ram C. Rao. (1990). “Effect of Price on the Demand for Durables: Modeling, Estimation and Findings,”Journal of Business and Economic Statistics 8-2 (April), 163–170.
Jeuland, Abel P. (1981). “Parsimonious Models of Diffusion of Innovation: Part A, Derivations and Comparisons,” working paper, Graduate School of Business, University of Chicago.
Judge, George G., W. E. Griffiths, R. Carter Hill, Helmet Lutkepohl, and Tsoung-Chao Lee. (1980).The Theory and Practice of Econometrics, New York, NY: John Wiley and Sons.
Kamamura, Wagner A., and Siva K. Balasubramaniam. (1988). “Long-Term Forecasting with Innovation Diffusion of Durables,”International Journal of Research in Marketing 5, 1–13.
Lodish, Leonard M. (1971). “CALLPLAN, An Interactive Salesman's Call Planning System,”Management Science Part II, Vol. 18, No. 4.
Mahajan, Vijay, Eitan Muller, and Frank M. Bass. (1990). “New Product Diffusion Models in Marketing: A Review and Directions for Research,”Journal of Marketing 54, 1–26.
Mansfield, Edwin. (1961). “Technical Change and the Rate of Imitation,”Econometrica 29 (October), 741–766.
Morwitz, Vicki G., and David C. Schmittlein. (1991). “Using Segmentation to Improve Sales Forecasts Based on Purchase Intent: Which ‘Definitely Will Buy's’ Will Buy?” Working Paper 91-015, The Wharton School of the University of Pennsylvania.
Nelder, J. A. (1962). “An Alternative Form of a Generalized Logistic Equation,”Biometrics 18 (December), 614–616.
Parker, Philip M. (1992a). “Price Elasticity Dynamics Over the Adoption Life Cycle,”Journal of Marketing Research 29, August, N3, 358–367.
Parker, Philip M. (1992b). “Pricing Strategies in Markets with Dynamic Elasticities,”Marketing Letters 3:3, 227–237.
Parker, Philip M., and Hubert Gratignon. (1991). “Specifying Competitive Effects in Diffusion Models: An Empirical Analysis,” International Journal of Research in Marketing, forthcoming.
Pedhazur, Elazar. (1982).Multiple Regression in Behavioral Research. New York: Holt, Rinehart and Winston.
Pesaran, M. H., and A. S. Deaton. (1978). “Testing Non-nested Nonlinear Regression Models,”Econometrica 46, 677–694.
Qualls, William, Richard W. Olshavsky, and Ronald E. Michaels. (1981). “Shortening of the PLC-An Empirical Test,”Journal of Marketing 45 (Fall), 76–80.
Rao, Sanjay Kumar. (1985). “An Empirical Comparison of Sales Forecasting Models,”Journal of Product Innovation Management 2 (December), 232–242.
Schmittlein, David C., and Vijay Mahajan. (1982). “Maximum Likelihood Estimation for an Innovation Diffusion Model of New Product Acceptance,”Marketing Science 1 (Winter), 57–78.
Srinivasan, V., and Charlotte H. Mason. (1986). “Nonlinear Least Squares Estimation of New Product Diffusion Models,”Marketing Science Vol. 5, N 2 (Spring).
Sultan, Fareena, John U. Farley, and Donald R. Lehmann. (1990). “A Meta-Analysis of Diffusion Models,”Journal of Marketing Research 27 (February), 70–77.
Teotia, A., and P. S. Raju. (1986). “Forecasting the Market Penetration of New Technologies Using a Combination of Economic Cost and Diffusion Models,”Journal of Product Innovation Management 3 (December), 225–237.
Vanhonaker, Wilfried R., and Lydia J. Price. (1992). “Using Meta-Analysis Results in Bayesian Updating: The Empty Call Problem,”Journal of Business and Economic Statistics 10, October, 427–435.
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Thanks are owed to members of INSEAD's faculty for comments during earlier phases of this research, and to Asa Lundquist and Pamela McNeill for their excellent research support.
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Parker, P.M. Choosing among diffusion models: Some empirical evidence. Marketing Letters 4, 81–94 (1993). https://doi.org/10.1007/BF00994190
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DOI: https://doi.org/10.1007/BF00994190