Modelling a dynamic market potential: A class of automata networks for diffusion of innovations. Guseo, R. & Guidolin, M. Technological Forecasting and Social Change, 76(6):806–820, July, 2009.
Paper doi abstract bibtex Innovation diffusion processes are generally described at aggregate level with models like the Bass Model (BM) and the Generalized Bass Model (GBM). However, the recognized importance of communication channels between agents has recently suggested the use of agent-based models, like Cellular Automata. We argue that an adoption or purchase process is nested in a communication network that evolves dynamically and indirectly generates a latent nonconstant market potential affecting the adoption phase.
@article{guseo_modelling_2009-1,
title = {Modelling a dynamic market potential: {A} class of automata networks for diffusion of innovations},
volume = {76},
issn = {00401625},
shorttitle = {Modelling a dynamic market potential},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0040162508001807},
doi = {10.1016/j.techfore.2008.10.005},
abstract = {Innovation diffusion processes are generally described at aggregate level with models like the Bass Model (BM) and the Generalized Bass Model (GBM). However, the recognized importance of communication channels between agents has recently suggested the use of agent-based models, like Cellular Automata. We argue that an adoption or purchase process is nested in a communication network that evolves dynamically and indirectly generates a latent nonconstant market potential affecting the adoption phase.},
language = {en},
number = {6},
urldate = {2019-05-02},
journal = {Technological Forecasting and Social Change},
author = {Guseo, Renato and Guidolin, Mariangela},
month = jul,
year = {2009},
pages = {806--820},
file = {Guseo and Guidolin - 2009 - Modelling a dynamic market potential A class of a.pdf:/Users/neil.hawkins/Zotero/storage/7SHH7W53/Guseo and Guidolin - 2009 - Modelling a dynamic market potential A class of a.pdf:application/pdf},
}
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