Innovation diffusion with heterogeneous networked agents: a computational model

• Tipo: Artigo em Revista Científica Internacional
• Data: 2012

Autores

Rui Leite (Autor) Outra; Aurora A C Teixeira (Autor) FEP

Revista

Título: Journal of Economic Interaction and Coordination

Vol. 7 Nº 2

Páginas: 125-144

ISSN: 1860-711X

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 8 Citações

ISI Web of Science

Scopus - 10 Citações

Econlit

Classificação Científica

FOS: Ciências sociais > Economia e gestão

CORDIS: Ciências Sociais > Economia

Outras Informações

ID Authenticus: P-002-54J

DOI: 10.1007/s11403-011-0086-x

Abstract (EN): It is well established that S-shaped curves describe the diffusion processes of many innovations quite well, but little insight on the mechanics of diffusion is achieved by simple curve fitting. We propose an evolutionary model of the diffusion process, focusing on the characteristics of economic agents and on the interactions among them, and relate those determinants with the observed shape of the diffusion curve. Using simulation techniques, we show that the proposed model is able to explain why an innovation may not diffuse globally across an economy/region, even when it faces no rival innovations. Moreover, we show how network size, informational spillovers, and the behavior of innovation prices shape the diffusion process. The results regarding network size and informational spillovers rationalize the importance of informational lock-outs, proving they can influence both the aggregate adoption rate and the speed of the diffusion process. With respect to innovation prices, simulation results show that faster price decline leads to higher aggregate adoption rates, and that the diffusion process is more sensitive to the pricing dynamics than to the network size or the behavior of spillovers.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 20