IDEAS home Printed from https://ideas.repec.org/a/jas/jasssj/2003-4-2.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://jasss.soc.surrey.ac.uk/6/4/3.html
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Guido Fioretti, 2005. "Agent-Based Models of Industrial Clusters and Districts," Urban/Regional 0504009, University Library of Munich, Germany.
    5. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jas:jasssj:2003-4-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Francesco Renzini (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.