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Innovation in industrial districts: An agent-based simulation model

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  • Albino, Vito
  • Carbonara, Nunzia
  • Giannoccaro, Ilaria

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  • 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.
  • Handle: RePEc:eee:proeco:v:104:y:2006:i:1:p:30-45
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    References listed on IDEAS

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    1. Midgley, David F. & Morrison, Pamela D. & Roberts, John H., 1992. "The effect of network structure in industrial diffusion processes," Research Policy, Elsevier, vol. 21(6), pages 533-552, December.
    2. Thomas Brenner, 2001. "Simulating the Evolution of Localised Industrial Clusters - an Identification of the Basic Mechanisms," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(3), pages 1-4.
    3. Carbonara, Nunzia & Giannoccaro, Ilaria & Pontrandolfo, Pierpaolo, 2002. "Supply chains within industrial districts: A theoretical framework," International Journal of Production Economics, Elsevier, vol. 76(2), pages 159-176, March.
    4. Robert Axelrod, 1997. "Advancing the Art of Simulation in the Social Sciences," Working Papers 97-05-048, Santa Fe Institute.
    5. Maskell, Peter & Malmberg, Anders, 1999. "Localised Learning and Industrial Competitiveness," Cambridge Journal of Economics, Oxford University Press, vol. 23(2), pages 167-185, March.
    6. Belussi, Fiorenza & Arcangeli, Fabio, 1998. "A typology of networks: flexible and evolutionary firms," Research Policy, Elsevier, vol. 27(4), pages 415-428, August.
    7. Tesfatsion, Leigh S., 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," Staff General Research Papers Archive 5075, Iowa State University, Department of Economics.
    8. Baptista, Rui, 2000. "Do innovations diffuse faster within geographical clusters?," International Journal of Industrial Organization, Elsevier, vol. 18(3), pages 515-535, April.
    9. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
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    Citations

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    Cited by:

    1. Federico Pablo-Marti & Juan Luis Santos & Antonio Gacía-Tabuenca & María Teresa Gallo & Tomás Mancha, 2012. "Forecasting and simulation of the impact of public policies on industrial districts using an agent-based model," ERSA conference papers ersa12p553, European Regional Science Association.
    2. Giulio Cainelli & Sandro Montresor & Giuseppe Vittucci Marzetti, 2012. "Production and financial linkages in inter-firm networks: structural variety, risk-sharing and resilience," Journal of Evolutionary Economics, Springer, vol. 22(4), pages 711-734, September.
    3. Luca Fraccascia & Ilaria Giannoccaro & Vito Albino, 2017. "Efficacy of Landfill Tax and Subsidy Policies for the Emergence of Industrial Symbiosis Networks: An Agent-Based Simulation Study," Sustainability, MDPI, Open Access Journal, vol. 9(4), pages 1-18, March.
    4. Vera Barinova & Stepan Zemtsov, 2015. "SME?s cluster identification in Russia," ERSA conference papers ersa15p572, European Regional Science Association.
    5. Cristina Ponsiglione & Ivana Quinto & Giuseppe Zollo, 2018. "Regional Innovation Systems as Complex Adaptive Systems: The Case of Lagging European Regions," Sustainability, MDPI, Open Access Journal, vol. 10(8), pages 1-19, August.
    6. Almas Heshmati & Flávio Lenz-Cesar, 2015. "Policy simulation of firms’ cooperation in innovation," Research Evaluation, Oxford University Press, vol. 24(3), pages 293-311.
    7. Cinzia Battistella & Alberto F. De Toni & Elena Pessot, 2018. "Framing Open Innovation in Start-Ups’ Incubators: A Complexity Theory Perspective," Journal of Open Innovation: Technology, Market, and Complexity, MDPI, Open Access Journal, vol. 4(3), pages 1-14, August.
    8. Dorsa Tajaddod Alizadeh & Andrea Schiffauerova, 2018. "Evaluation Of Effects Of Collaborative Patterns On The Efficiency Of Scientific Networks Using Simulation," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 22(04), pages 1-28, May.
    9. Becker, Till & Illigen, Christoph & McKelvey, Bill & Hülsmann, Michael & Windt, Katja, 2016. "Using an agent-based neural-network computational model to improve product routing in a logistics facility," International Journal of Production Economics, Elsevier, vol. 174(C), pages 156-167.
    10. Kusiak, Andrew, 2009. "Innovation: A data-driven approach," International Journal of Production Economics, Elsevier, vol. 122(1), pages 440-448, November.
    11. Flavio Lenz-Cesar & Almas Heshmati, 2010. "Agent-based Simulation of Cooperative Innovation," TEMEP Discussion Papers 201052, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
    12. Heshmati, Almas & Lenz-Cesar, Flávio, 2013. "Determinants and Policy Simulation of Firms Cooperation in Innovation," IZA Discussion Papers 7487, Institute of Labor Economics (IZA).
    13. An, Li, 2012. "Modeling human decisions in coupled human and natural systems: Review of agent-based models," Ecological Modelling, Elsevier, vol. 229(C), pages 25-36.
    14. Kyläheiko, Kalevi & Jantunen, Ari & Puumalainen, Kaisu & Luukka, Pasi, 2011. "Value of knowledge--Technology strategies in different knowledge regimes," International Journal of Production Economics, Elsevier, vol. 131(1), pages 273-287, May.
    15. Yusuf, Yahaya Y. & Musa, Ahmed & Dauda, Mohammed & El-Berishy, Nagham & Kovvuri, Dharma & Abubakar, Tijjani, 2014. "A study of the diffusion of agility and cluster competitiveness in the oil and gas supply chains," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 498-513.

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