In this work we try to draw an interdisciplinary framework aimed to integrate a socio-cognitive approach with organizational research about industrial clusters, in order to investigate whether and how social evaluations may affect clusters dynamics. Industrial districts are sort of small-worlds that provide a suitable environment for testing the predictions of our model through Multi-Agent Based Social Simulation (MABSS) experiments. Artificial agents will be allowed to exchange products and to transmit social evaluations, and the main features of a cluster will be implemented. The effects of evaluation transmission on products quality, partner selection and cheaters isolation will be discussed.
Tipo Pubblicazione:
Articolo
Publisher:
Elsevier, Paris , Paesi Bassi
Source:
Simulation modelling practice and theory 16 (2008): 231–241. doi:10.1016/j.simpat.2007.11.017
info:cnr-pdr/source/autori:Giardini F., Di Tosto G., Conte R./titolo:A model for simulating reputation dynamics in industrial districts/doi:10.1016/j.simpat.2007.11.017/rivista:Simulation modelling practice and theory/anno:2008/pagina_da:231/pagina_a:241/
Date:
2008
Resource Identifier:
http://www.cnr.it/prodotto/i/46951
https://dx.doi.org/10.1016/j.simpat.2007.11.017
info:doi:10.1016/j.simpat.2007.11.017
Language:
Eng
