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Faure, G., Barret, D., Blundo-Canto, G., Dabat, M. H., Devaux-Spatarakis, A., Le Guerroué, J. L., Marquié, C., Mathé, S., Temple, L., Toillier, A., Triomphe, B., & Hainzelin, E. (2018). How Different Agricultural Research Models Contribute to Impacts: Evidence from 13 Case Studies in Developing Countries. Agricultural Systems, 165, 128-136.
https://doi.org/10.1016/j.agsy.2018.06.002

has been cited by the following article:

• TITLE: Definition of a Model-Based Engineering Framework for the Design, Organization, and Management of Local Agri-Food Systems

  AUTHORS: Jean-Luc Paris, Carole Chazoule, Mathieu Désolé, Nicolas Brulard, Stéphane Fournier, Laurent Trognon, Olivier Devise

  KEYWORDS: Proximity Food System, Systems Engineering, Meta-Modeling, Requirements Diagram, Performance Indicators

  JOURNAL NAME: Open Journal of Business and Management, Vol.10 No.2, March 31, 2022

  ABSTRACT: The objective of this project is to produce knowledge about hybrid food systems positioned between short and long circuits, addressing their economic, social, and environmental performances and the conditions of their sustainability, to co-construct with project partners a method and support tools for their sustainable development. These systems are particularly complex, with interactions between actors, interactions between performance indicators of various kinds, new vocabulary and new practices centered on human relationships, with very little formalization. To tackle this problem, we propose a new system engineering approach based on meta-modeling to consider the flow, the requirements and performance indicators. After presenting the problem, we will detail our approach and its implementation. We will end with a review and perspectives.