Trade-in programs in the context of technological innovation with herding
We study optimal pricing strategies and consequent market shares' dynamics in a transition from an old and established technology to a new one. We simulate an agentbased model, in which a large population of possible buyers decide whether to adopt or not depending on prices, private signals and herding behavior. The firm, on its part, sets prices to maximize revenues. We show that trade-in programs, in practice comparable to very aggressive discounts, are supported by a rational attitude.
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- Ron Adner & Daniel Levinthal, 2001. "Demand Heterogeneity and Technology Evolution: Implications for Product and Process Innovation," Management Science, INFORMS, vol. 47(5), pages 611-628, May.
- Jean-Pierre Nadal & Denis Phan & Mirta Gordon & Jean Vannimenus, 2005.
"Multiple equilibria in a monopoly market with heterogeneous agents and externalities,"
Taylor & Francis Journals, vol. 5(6), pages 557-568.
- Denis Phan & Mirta Gordon & J.-P. Nadal & J. Vannimenus, 2005. "Multiple equilibria in a monopoly market with heterogeneous agents and externalities," Post-Print halshs-00078792, HAL.
- William A. Brock & Steven N. Durlauf, 2001. "Discrete Choice with Social Interactions," Review of Economic Studies, Oxford University Press, vol. 68(2), pages 235-260.
- Brock,W.A. & Durlauf,S.N., 2000. "Discrete choice with social interactions," Working papers 7, Wisconsin Madison - Social Systems.
- Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June. Full references (including those not matched with items on IDEAS)
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