An Individual‐Based Model of Innovation Diffusion Mixing Social Value and Individual Benefit1

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Comparison of empirical methods for building agent-based models in land use science (2007, methodology): “The other uses typical agents based on representative cases from the survey, in numbers proportional to their representation in the population (e.g. Deffuant et al. 2005, Happe 2004).”
Customer-to-Customer Interactions: Broadening the Scope of Word of Mouth Research (2010, background): “One approach follows the collective action literature whereby a contagion process will occur for an individual, only when a certain number of other people, above some personal threshold, have behaved in a certain manner (Deffuant, Huet, and Amblard 2005; Watts and Dodds 2007).”
Agent-based simulation of innovation diffusion: a review (2011, methodology): “Deffuant et al. (2005), use a ﬁxed state transition scheme based on interest (no, maybe, yes) and information states (not-concerned, information request, no adoption, pre-adoption, adoption).”
Understanding Technology Adoption: Theory and Future Directions for Informal Learning (2009, methodology): “Rogers’s theory has influenced other research of adoption and diffusion (Boyne et al., 2005; Deffuant et al., 2005; Pennington, 2004; Venkatesh et al., 2003).”