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Coordination Mechanisms Based on Cooperation and Competition Within Industrial Districts: an Agent-Based Computational Approach

Author

Listed:
  • Vito Albino
  • Nunzia Carbonara
  • Ilaria Giannoccaro

Abstract

In this paper we propose a computational approach based on multi-agent systems to study the multiple forms of cooperative and competitive relationships within Industrial Districts (IDs). In particular, we develop a computational model by using AgentBuilder software, which is referred to a specific kind of cooperative relationships, namely that aimed at both balancing the utilization of supplier production capacity and minimizing the customer unsatisfied demand. Then we carry out a simulation analysis to prove the benefits of the selected kind of cooperation for the IDs and to evaluate the benefits of the cooperation in different competitive scenarios and diverse ID organizational structures.

Suggested Citation

  • Vito Albino & Nunzia Carbonara & Ilaria Giannoccaro, 2003. "Coordination Mechanisms Based on Cooperation and Competition Within Industrial Districts: an Agent-Based Computational Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(4), pages 1-3.
    • Handle: RePEc:jas:jasssj:2003-4-2
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    Citations

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    Cited by:

    1. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    2. Riccardo Boero & Flaminio Squazzoni, 2005. "Does Empirical Embeddedness Matter? Methodological Issues on Agent-Based Models for Analytical Social Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-6.
    3. Albino, Vito & Carbonara, Nunzia & Giannoccaro, Ilaria, 2006. "Innovation in industrial districts: An agent-based simulation model," International Journal of Production Economics, Elsevier, vol. 104(1), pages 30-45, November.
    4. Yang Song & Leo Paul Dana & Ron Berger, 2021. "The entrepreneurial process and online social networks: forecasting survival rate," Small Business Economics, Springer, vol. 56(3), pages 1171-1190, February.
    5. Guido Fioretti, 2005. "Agent-Based Models of Industrial Clusters and Districts," Urban/Regional 0504009, University Library of Munich, Germany.

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