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Gloucester Fishery : Insights from a Group Modeling Intervention

Author

Listed:
  • Peter Otto

    (EM - EMLyon Business School)

  • Jeroen Struben

Abstract

System dynamics provides a powerful support mechanism for resolving problems in highly complex and dynamic contexts. Effectively building a system dynamics model in a client‐group environment is a challenging task, particularly with a heterogeneous clientele and a variety of stakeholders influencing the boundaries of the model. In such environments, understanding and formulating central concerns is as important as it is challenging. This article describes a group model building initiative designed to study the implications of various policies aimed at revitalizing the fishing industry in Gloucester, Massachusetts. While the iterative and interactive methods in this group modeling intervention helped fishermen and community members to communicate effectively with one another, define problems and improve their understanding of the critical interactions in the system, the resulting model was used to help the Gloucester Community Development Cooperation to communicate potential impacts of a prospective fish factory to a wider audience.

Suggested Citation

  • Peter Otto & Jeroen Struben, 2004. "Gloucester Fishery : Insights from a Group Modeling Intervention," Post-Print hal-02312278, HAL.
    • Handle: RePEc:hal:journl:hal-02312278
    as

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    Citations

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    Cited by:

    1. Inomata, Sandrelly Oliveira & Gonzalez, Alba Maria Guadalupe Orellana & Román, Rodrigo Máximo Sánchez & de Souza, Lucirene Aguiar & de Carvalho Freitas, Carlos Edwar, 2018. "Sustainability of small-scale fisheries in the middle Negro River (Amazonas – Brazil): A model with operational and biological variables," Ecological Modelling, Elsevier, vol. 368(C), pages 312-320.
    2. Ya-Tsune Sie & Pierre-Alexandre Château & Yang-Chi Chang & Shiau-Yun Lu, 2018. "Stakeholders Opinions on Multi-Use Deep Water Offshore Platform in Hsiao-Liu-Chiu, Taiwan," IJERPH, MDPI, vol. 15(2), pages 1-13, February.
    3. Ruthanne Huising, 2019. "Moving off the Map: How Knowledge of Organizational Operations Empowers and Alienates," Organization Science, INFORMS, vol. 30(5), pages 1054-1075, September.
    4. Prabhu, Raghavendra & Kamath, Vasanth & Jeethesh D’Souza, Darryl & Joshi, Harisha, 2023. "An Assessment of M-Commerce Adoption Amongst Women Fish Vendors in Coastal India Using System Dynamics Approach," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 15(2), June.
    5. Pagani, Margherita & Otto, Peter, 2013. "Integrating strategic thinking and simulation in marketing strategy: Seeing the whole system," Journal of Business Research, Elsevier, vol. 66(9), pages 1568-1575.
    6. D F Andersen & J A M Vennix & G P Richardson & E A J A Rouwette, 2007. "Group model building: problem structuring, policy simulation and decision support," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(5), pages 691-694, May.
    7. BenDor, Todd & Scheffran, Jürgen & Hannon, Bruce, 2009. "Ecological and economic sustainability in fishery management: A multi-agent model for understanding competition and cooperation," Ecological Economics, Elsevier, vol. 68(4), pages 1061-1073, February.

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