Innovation Diffusion Processes: Concepts, Models, and Predictions

Mariangela Guidolin, Piero Manfredi · 2022 · Annual Review of Statistics and Its Application

Summary. This paper reviews mathematical models of how innovations spread through societies, integrating marketing and epidemiological approaches. The authors examine barriers to diffusion, the role of word-of-mouth communication, and how policy interventions can promote beneficial innovations while preventing harmful ones. They use deterministic models based on differential equations to analyze critical innovations essential for human progress.

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@article{guidolin-2022-innovation-diffusion-processes-concepts-models,
  title   = {Innovation Diffusion Processes: Concepts, Models, and Predictions},
  author  = {Mariangela Guidolin and Piero Manfredi},
  journal = {Annual Review of Statistics and Its Application},
  year    = {2022},
  doi     = {10.1146/annurev-statistics-040220-091526},
  url     = {https://doi.org/10.1146/annurev-statistics-040220-091526}
}

TY  - JOUR
TI  - Innovation Diffusion Processes: Concepts, Models, and Predictions
AU  - Mariangela Guidolin
AU  - Piero Manfredi
JO  - Annual Review of Statistics and Its Application
PY  - 2022
DO  - 10.1146/annurev-statistics-040220-091526
UR  - https://doi.org/10.1146/annurev-statistics-040220-091526
ER  - 

Details

DOI

10.1146/annurev-statistics-040220-091526

Countries

Italy

Regions

Europe

Categories

innovation-theory, policy, general-innovation

Added

2026-04-28