The Fate of Inventions. What can we learn from Bayesian learning in strategic options model of adoption ? - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2018

The Fate of Inventions. What can we learn from Bayesian learning in strategic options model of adoption ?

Marc Baudry
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Edouard Civel
  • Fonction : Auteur
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Résumé

We develop a game where heterogeneous agents have the option of adopting an invention of uncertain quality or postponing their decision to benefit from others' experience through Bayesian learning. Messages produced on the invention nature are noisy, representing the "teething troubles" of innovation. Our model gives microeconomic foundations to the S-shaped innovation diffusion curves, informational externality inducing strategic delay in agents' behavior. Moreover, noise could nip in the bud the diffusion of inventions: numerical simulations underline a bi-modal distribution of steady states for innovation diffusion, stillborn or fully developed, bringing to light a reputational valley of death for inventions.
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Dates et versions

hal-04141698 , version 1 (26-06-2023)

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  • HAL Id : hal-04141698 , version 1

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Marc Baudry, Edouard Civel. The Fate of Inventions. What can we learn from Bayesian learning in strategic options model of adoption ?. 2018. ⟨hal-04141698⟩
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