Innovation adoption by forward-looking social learners

Mira Frick, Yuhta Ishii

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

We build a model studying the effect of an economy's potential for social learning on the adoption of innovations of uncertain quality. Assuming consumers are forward-looking (i.e., recognize the value of waiting for information), we analyze how qualitative and quantitative features of the learning environment affect equilibrium adoption dynamics, welfare, and the speed of learning. Based on this, we show how differences in the learning environment translate into observable differences in adoption dynamics, suggesting a purely informational channel for two commonly documented adoption patterns: S-shaped and concave curves. We also identify environments that are subject to a saturation effect: Increased opportunities for social learning can slow down adoption and learning, and do not increase consumer welfare, possibly even being harmful.

Original languageEnglish (US)
Pages (from-to)1505-1541
Number of pages37
JournalTheoretical Economics
Volume19
Issue number4
DOIs
StatePublished - Nov 2024

All Science Journal Classification (ASJC) codes

  • General Economics, Econometrics and Finance

Keywords

  • D80
  • D83
  • exponential bandits
  • informational free-riding
  • Innovation adoption
  • O33
  • social learning
  • strategic experimentation

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