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Have diffusion rates been accelerating over time?

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Abstract

It is widely believed that products are diffusing within the marketplace at an increasing pace. To empirically investigate this belief, diffusion model parameters are estimated for a large set of consumer durables in the home appliance industry, Multiple measures of diffusion rates are then computed and compared across products by year of introduction. Contrary to conventional wisdom, no statistical relationship is found. These results suggest that diffusion rates havenot been systematically accelerating over time.

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References

  • Alsop, R. (1986). “Companies Get on Fast Track to Roll Hot New Brands,”Wall Street Journal, July 10, 25.

    Google Scholar 

  • Bass, F. (1969). “A New Product Growth Model for Consumer Durables,”Management Science 15 (January), 215–227.

    Google Scholar 

  • Clark, K., and T. Fujimoto. (1989). “Lead Time in Automobile Product Development Explaining the Japanese Advantage,”Journal of Engineering and Technology Management 6, 25–58.

    Google Scholar 

  • Clark, W., H. Freeman, and D. Hanssens. (1984). “Opportunities for Revitalizing Stagnant Markets: An Analysis of Household Appliances,”Journal of Product Innovation Management 4, 242–254.

    Google Scholar 

  • Dumaine, B. (1989). “How Managers Can Succeed Through Speed,”Fortune, February 13, 54–59.

  • Fisher, J., and R. Pry. (1971). “A Simple Substitution Model of Technological Change,”Technological Forecasting and Social Change 3, 75–88.

    Google Scholar 

  • Fraker, S. (1984). “High Speed Management for the High Tech Age,”Fortune, March 5, 62.

  • Gold, B. (1987). “Approaches to Accelerating Product and Process Development,”Journal of Product Innovation Management 4 (June), 81–88.

    Google Scholar 

  • Grubler, A. (1991). “Long Term Patterns and Discontinuities,”Technological Forecasting and Social Change 39, 159–180.

    Google Scholar 

  • Haines, D., R. Chandran, and A. Parkhe. (1989). “Winning by Being First to Market ... or Second?”Journal of Consumer Marketing 6 (Winter), 63–70.

    Google Scholar 

  • Jain, D., and R. Rao. (1990). “Effect of Price on the Demand for Durables: Modeling, Estimation and Findings,”Journal of Business and Economic Statistics 8 (April), 163–170.

    Google Scholar 

  • Kamakura, W., and S. Balasubramanian. (1988). “Long Term View of the Diffusion Durables: A Study of the Role of Price and Adoption Influence Processes Via Tests of Nested Models,”International Journal of Research in Marketing 5, 1–13.

    Google Scholar 

  • Levitt, T. (1965). “Exploit the Product Life Cycle,”Harvard Business Review 43 (November–December), 81–96.

    Google Scholar 

  • Mahajan, V., and R. Peterson. (1978). “Innovation Diffusion in a Dynamic Potential Adopter Population,”Management Science 28 (September), 1589–1597.

    Google Scholar 

  • Olshavsky, R., and D. Granbois. (1979). “Consumer Decision Making—Fact or Fiction?”Journal of Consumer Research 6 (September), 93–100.

    Google Scholar 

  • Olshavsky, R. (1980). “Time and the Rate of Adoption of Innovations.”Journal of Consumer Research 6 (March), 425–428.

    Google Scholar 

  • Polli, R., and V. Cook. (1969). “Validity of the Product Life Cycle,”Journal of Business 42 (October), 385–400.

    Google Scholar 

  • Pry, R. (1974). “Forecasting the Diffusion of Technology,” in H. Davidson, M. Cetron, and J. Goldhar (eds.),Technology Transfer Leiden: Nordhoff, 227–246.

    Google Scholar 

  • Qualls, W., R. Olshavsky, and R. Michaels. (1981). “Shortening of the PLC—An Empirical Test,”Journal of Marketing 45 (Fall), 76–80.

    Google Scholar 

  • Rogers, E., and F. Shoemaker. (1971).The Communication of Innovations New York: The Free Press.

    Google Scholar 

  • Rosenau, M. (1988). “Speeding Your New Product to Market,”Journal of Consumer Marketing 5 (Spring), 23–36.

    Google Scholar 

  • Schmittlein, D., and V. Mahajan. (1982). “Maximum Likelihood Estimation for an Innovation Diffusion Model of New Product Acceptance,”Marketing Science 1, 57–78.

    Google Scholar 

  • Schnaars, S. (1986). “When Entering Growth Markets, Are Pioneers Better than Poachers?”Business Horizons 29 (March–April), 27–36.

    Google Scholar 

  • Schultz, S., and S. Rao. (1986). “Product Life Cycles of Durable Goods for the Home,”Journal of the Academy of Marketing Science 14 (Spring), 7–12.

    Google Scholar 

  • Srinivasan, V., and C. Mason. (1986). “Nonlinear Least Squares Estimation of New Product Diffusion Models,”Marketing Science 5, 169–178.

    Google Scholar 

  • Stalk, G. (1988). “Time—The Next Source of Competitive Advantage,”Harvard Business Review, July–August, 41–51.

  • Stalk, G., and T. Hout. (1990).Competing Against Time New York: The Free Press.

    Google Scholar 

  • Toffler, A. (1970).Future Shock New York: Random House.

    Google Scholar 

  • Toffler, A. (1980).The Third Wave New York: William Morrow.

    Google Scholar 

  • Von Braun, C. (1990). “The Acceleration Trap,”Sloan Management Review, Fall, 49–58.

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Thanks are extended to Vithala Rao and Donald Lehmann (editor) for their comments on an earlier draft, and to Howard Susskind and Eric Olson for their assistance with the data collection and analysis.

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Bayus, B.L. Have diffusion rates been accelerating over time?. Marketing Letters 3, 215–226 (1992). https://doi.org/10.1007/BF00994130

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  • DOI: https://doi.org/10.1007/BF00994130

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