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Multi-Criteria Methodology: AHP and Fuzzy Logic in the Selection of Post-Harvest Technology for Smallholder Cocoa Production

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Multi-Criteria Methodology: AHP and Fuzzy Logic in the Selection of Post-Harvest Technology for Smallholder Cocoa Production

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dc.contributor.author Vera Montenegro, Lenin Oswaldo es_ES
dc.contributor.author Baviera Puig, Maria Amparo es_ES
dc.contributor.author García Alvarez-Coque, José María es_ES
dc.date.accessioned 2016-09-14T14:18:30Z
dc.date.available 2016-09-14T14:18:30Z
dc.date.issued 2014
dc.identifier.issn 1096-7508
dc.identifier.uri http://hdl.handle.net/10251/69515
dc.description The IFAMR is published quarterly by the International Food and Agribusiness Management Association. www.ifama.org es_ES
dc.description.abstract [EN] Ecuador supplies 70% of the world’s fine aroma cocoa (Theobroma cacao). This paper defines a model of post-harvest technology selection, adapted to small producers, using two multi-criteria models that evaluate the quality, processing cost, and technology adoption capability of each technology. To achieve this result, a preliminary assessment of nine post-harvest technologies is performed, considering only the quality criteria. We then apply the analytical hierarchy process and fuzzy logic methodologies considering the other criteria (processing cost and technology adoption capability). The models provide alternative methods to achieve solutions that reflect the reality of small cocoa producers’ decision-making processes. es_ES
dc.description.sponsorship The authors wish to thank the Ministry of Economy and Competitiveness (MINECO, Spain) and the European Regional Development Fund in the framework of the Agriinnova project ‘Organizational forms of innovation in agri-food sector and its effects on economic outcomes and innovation performance’ (AGL2012-39793-C03-02) for their financial support. The authors also express their gratitude to the Escuela Superior Politécnica Agropecuaria de Manabí ‘Manuel Félix López’ for their support in the preparation of the experimental fieldwork.
dc.language Inglés es_ES
dc.publisher International Food and Agribusiness Management Association es_ES
dc.relation.ispartof International Food and Agribusiness Management Review es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Cocoa es_ES
dc.subject Small-scale agriculture es_ES
dc.subject Post-harvest es_ES
dc.subject Analytical hierarchy process es_ES
dc.subject Fuzzy logic. es_ES
dc.subject.classification ECONOMIA, SOCIOLOGIA Y POLITICA AGRARIA es_ES
dc.subject.classification ECONOMIA APLICADA es_ES
dc.title Multi-Criteria Methodology: AHP and Fuzzy Logic in the Selection of Post-Harvest Technology for Smallholder Cocoa Production es_ES
dc.type Artículo es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//AGL2012-39793-C03-02/ES/FORMAS DE ORGANIZACION DE LA INNOVACION EN EL SISTEMA AGROALIMENTARIO. EFECTOS SOBRE LOS RESULTADOS EMPRESARIALES. VARIABLES TERRITORIALES Y SECTOR AGRARIO/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural es_ES
dc.description.bibliographicCitation Vera Montenegro, LO.; Baviera Puig, MA.; García Alvarez-Coque, JM. (2014). Multi-Criteria Methodology: AHP and Fuzzy Logic in the Selection of Post-Harvest Technology for Smallholder Cocoa Production. International Food and Agribusiness Management Review. 17(2):107-124. http://hdl.handle.net/10251/69515 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://www.ifama.org/Volume-17-Issue-2 es_ES
dc.description.upvformatpinicio 107 es_ES
dc.description.upvformatpfin 124 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 17 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 266182 es_ES
dc.identifier.eissn 1559-2448
dc.contributor.funder Ministerio de Economía y Competitividad


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