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Micro Behavioural Attitudes and Macro Technological Adaptation in Industrial Districts: an Agent-Based Prototype



Industrial Districts (IDs) are complex productive systems based on an evolutionary network of heterogeneous, functionally integrated and complementary firms, which are within the same market and geographical space. Setting up a prototype, able to reproduce an idealised ID, we model cognitive processes underlying the behaviour of ID firms. ID firms are bounded rationality agents, able to process information coming from technology and market environment and from their relational contexts. They are able to evaluate such information and to transform it into courses of action, routinising their choices, monitoring the environment, categorising, typifying and comparing information. But they have bounded cognitive resources: attention, time and memory. We test two different settings: the first one shows ID firms behaving according to a self-centred attitude, while the second one shows ID firms behaving according to a social centred attitude. We study how such a strong difference at micro-level can affect at macro-level the technological adaptation of IDs.

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  • Riccardo Boero & Marco Castellani & Flaminio Squazzoni, 2004. "Micro Behavioural Attitudes and Macro Technological Adaptation in Industrial Districts: an Agent-Based Prototype," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 7(2), pages 1-1.
  • Handle: RePEc:jas:jasssj:2004-13-1

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    1. repec:wsi:ijmpcx:v:11:y:2000:i:06:n:s0129183100000936 is not listed on IDEAS
    2. Katarzyna Sznajd-Weron & Józef Sznajd, 2000. "Opinion Evolution In Closed Community," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 11(06), pages 1157-1165.
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    Cited by:

    1. Guido Fioretti, 2005. "Agent-Based Models of Industrial Clusters and Districts," Urban/Regional 0504009, EconWPA.
    2. Moncada, J.A. & Lukszo, Z. & Junginger, M. & Faaij, A. & Weijnen, M., 2017. "A conceptual framework for the analysis of the effect of institutions on biofuel supply chains," Applied Energy, Elsevier, vol. 185(P1), pages 895-915.


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