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Network Analysis, Creative System Modelling and Decision Support: The NetSyMoD Approach

Author

Listed:
  • Giupponi, Carlo
  • Camera, R.
  • Fassio, A.
  • Lasut, A.
  • Mysiak, Jaroslav
  • Sgobbi, Alessandra

Abstract

This paper presents the NetSyMoD approach - where NetSyMod stands for Network Analysis - Creative System Modelling - Decision Support. It represents the outcome of several years of research at FEEM in the field of natural resources management, environmental evaluation and decision-making, within the Natural Resources Management Research Programme. NetSyMoD is a flexible and comprehensive methodological framework, which uses a suite of support tools, aimed at facilitating the involvement of stakeholders or experts in decision-making processes. The main phases envisaged for the process are: (i) the identification of relevant actors, (ii) the analysis of social networks, (iii) the creative system modelling and modelling of the reality being considered (i.e. the local socio-economic and environmental system), and (iv) the analysis of alternative options available for the management of the specific case (e.g. alternative projects, plans, strategies). The strategies for participation are necessarily context-dependent, and thus not all the NetSyMod phases may be needed in every application. Furthermore, the practical solutions for their implementation may significantly differ from one case to another, depending not only on the context, but also on the available resources (human and financial). The various applications of NetSyMoD have nonetheless in common the same approach for problem analysis and communication within a group of actors, based upon the use of creative thinking techniques, the formalisation of human-environment relationships through the DPSIR framework, and the use of multi-criteria analysis through the mDSS software.

Suggested Citation

  • Giupponi, Carlo & Camera, R. & Fassio, A. & Lasut, A. & Mysiak, Jaroslav & Sgobbi, Alessandra, 2006. "Network Analysis, Creative System Modelling and Decision Support: The NetSyMoD Approach," Natural Resources Management Working Papers 12148, Fondazione Eni Enrico Mattei (FEEM).
  • Handle: RePEc:ags:feemnr:12148
    DOI: 10.22004/ag.econ.12148
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    References listed on IDEAS

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    1. Fiorese, Giulia & Catenacci, Michela & Verdolini, Elena & Bosetti, Valentina, 2013. "Advanced biofuels: Future perspectives from an expert elicitation survey," Energy Policy, Elsevier, vol. 56(C), pages 293-311.
    2. Catenacci, Michela & Verdolini, Elena & Bosetti, Valentina & Fiorese, Giulia, 2013. "Going electric: Expert survey on the future of battery technologies for electric vehicles," Energy Policy, Elsevier, vol. 61(C), pages 403-413.
    3. Fiorese, Giulia & Catenacci, Michela & Bosetti, Valentina & Verdolini, Elena, 2014. "The power of biomass: Experts disclose the potential for success of bioenergy technologies," Energy Policy, Elsevier, vol. 65(C), pages 94-114.
    4. Sgobbi, Alessandra & Carraro, Carlo, 2011. "A Stochastic Multiple Players Multi-Issues Bargaining Model for the Piave River Basin," Strategic Behavior and the Environment, now publishers, vol. 1(2), pages 119-150, April.
    5. Dragana Bojovic & Carlo Giupponi & Hermann Klug & Lucia Morper-Busch & George Cojocaru & Richard Schörghofer, 2018. "An online platform supporting the analysis of water adaptation measures in the Alps," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 61(2), pages 214-229, January.

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    More about this item

    Keywords

    Resource /Energy Economics and Policy;

    JEL classification:

    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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