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Quality risk aversion, conjectures, and new product diffusion

  • Francesco Bogliacino


  • Giorgio Rampa


In this paper, we provide a generalization of the standard models of the diffusion of a new product. Consumers are heterogeneous and risk averse, and the firm is uncertain about the demand curve: both learn from past observations. The attitude towards risk has important effects with regard to the diffusion pattern. In our model, downward-biased signals to consumers can prevent the success of the product, even if its objective quality is high: a “lock-in” result. We show, in addition, that the standard logistic pattern can be derived from the model. Finally, we discuss the steady states of the learning dynamics, with regard to the multiplicity and the local stability of equilibria, and to their welfare properties. Copyright Springer-Verlag 2012

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Article provided by Springer in its journal Journal of Evolutionary Economics.

Volume (Year): 22 (2012)
Issue (Month): 5 (November)
Pages: 1081-1115

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Handle: RePEc:spr:joevec:v:22:y:2012:i:5:p:1081-1115
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  1. Toshihiko Mukoyama, 2004. "Rosenberg's "Learning by Using" and Technology Diffusion," Working Papers 05003, Concordia University, Department of Economics.
  2. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-31, March.
  3. Rabik Ar Chatterjee & Jehoshua Eliashberg, 1990. "The Innovation Diffusion Process in a Heterogeneous Population: A Micromodeling Approach," Management Science, INFORMS, vol. 36(9), pages 1057-1079, September.
  4. Aoki, Masanao & Yoshikawa, Hiroshi, 2002. "Demand saturation-creation and economic growth," Journal of Economic Behavior & Organization, Elsevier, vol. 48(2), pages 127-154, June.
  5. Teck-Hua Ho & Sergei Savin & Christian Terwiesch, 2002. "Managing Demand and Sales Dynamics in New Product Diffusion Under Supply Constraint," Management Science, INFORMS, vol. 48(2), pages 187-206, February.
  6. Rothschild, Michael, 1974. "A two-armed bandit theory of market pricing," Journal of Economic Theory, Elsevier, vol. 9(2), pages 185-202, October.
  7. Dirk Bergemann & Juuso Valimaki, 1997. "Market Diffusion with Two-Sided Learning," RAND Journal of Economics, The RAND Corporation, vol. 28(4), pages 773-795, Winter.
  8. Jensen, Richard, 1982. "Adoption and diffusion of an innovation of uncertain profitability," Journal of Economic Theory, Elsevier, vol. 27(1), pages 182-193, June.
  9. Verbrugge, Randal, 2000. "Risk aversion, learning spillovers, and path-dependent economic growth," Economics Letters, Elsevier, vol. 68(2), pages 197-202, August.
  10. Vijay Mahajan & Robert A. Peterson, 1978. "Innovation Diffusion in a Dynamic Potential Adopter Population," Management Science, INFORMS, vol. 24(15), pages 1589-1597, November.
  11. Abhijit Banerjee & Drew Fudenberg, 2010. "Word of Mouth Learning," Levine's Working Paper Archive 723, David K. Levine.
  12. Joe A. Dodson, Jr. & Eitan Muller, 1978. "Models of New Product Diffusion Through Advertising and Word-of-Mouth," Management Science, INFORMS, vol. 24(15), pages 1568-1578, November.
  13. Robert J. Aumann & Jacques H. Dreze, 2008. "Rational Expectations in Games," American Economic Review, American Economic Association, vol. 98(1), pages 72-86, March.
  14. John H. Roberts & Glen L. Urban, 1988. "Modeling Multiattribute Utility, Risk, and Belief Dynamics for New Consumer Durable Brand Choice," Management Science, INFORMS, vol. 34(2), pages 167-185, February.
  15. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
  16. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
  17. Malerba, Franco, 2007. "Innovation and the dynamics and evolution of industries: Progress and challenges," International Journal of Industrial Organization, Elsevier, vol. 25(4), pages 675-699, August.
  18. Jackson, Matthew O. & Yariv, Leeat, 2006. "Diffusion of Behavior and Equilibrium Properties in Network Games," Working Papers 1264, California Institute of Technology, Division of the Humanities and Social Sciences.
  19. Francesco Bogliacino & Giorgio Rampa, 2010. "Monopolistic competition and new products: a conjectural equilibrium approach," Journal of Economic Interaction and Coordination, Springer, vol. 5(1), pages 55-76, June.
  20. H. Peyton Young, 2009. "Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning," American Economic Review, American Economic Association, vol. 99(5), pages 1899-1924, December.
  21. Tsur, Yacov & Sternberg, Menachem & Hochman, Eithan, 1990. "Dynamic Modelling of Innovation Process Adoption with Risk Aversion and Learning," Oxford Economic Papers, Oxford University Press, vol. 42(2), pages 336-55, April.
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