Show simple item record 2020-05-21T13:12:16Z 2020-05-21T13:12:16Z
dc.title A Decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains en
dc.type Artículo es
dcterms.abstract An agri-food value chain (VC) represents a set of activities aimed at delivering highly valuable products to the market. Due to the diversity of actors in the agri-food VCs ́ accumulated knowledge is typically situated within the boundaries of each entity of the VC. Hence, the question is how to improve knowledge sharing in agri-food VC, or more specifically how can knowledge flow and mobilize among different actors in the VC. To answer this question, we present a decision support system (DSS) for evaluation of knowledge sharing crossing boundaries in agri-food VC. The proposed DSS is developed through two phases: (i) identification of the most common knowledge boundaries by using machine learning and ontology technologies; (ii) transformation of the obtained ontology into a DSS for the evaluation of existing knowledge boundaries. In particular, the developed DSS helps in identifying, evaluating and providing directions for improvement of the knowledge sharing crossing boundaries in agri-food VC. We apply the DSS to evaluate three real VCs: a tomato VC in Argentina, a Chinese leaf VC in China and a brassica VC in the UK. The comparative analysis across the three varied case studies and their evaluation with the proposed DSS lead to more insights into knowledge-based decisions that a particular VC needs to address to improve its knowledge flow, in particular, to obtain insights in the transparency and interoperability of data and knowledge crossing boundaries in agri-food VCs. en
dcterms.issued 2019-04-01
dcterms.language Inglés es
dcterms.license Attribution-NonCommercial-NoDerivatives 4.0 Internacional es
dcterms.subject Knowledge Sharing en
dcterms.subject Knowledge Boundaries en
dcterms.subject Decision support systems en
dcterms.subject Agricultural value chain en
cic.version info:eu-repo/semantics/submittedVersion es Boshkoska, Biljana Mileva es Liu, Shaofeng es Zhao, Guoqing es Fernández, Alejandro es Gamboa, Susana es del Pino, Mariana es Zarate, Pascale es Hernandez, Jorge es Chen, Huilan es
cic.lugarDesarrollo Laboratorio de Investigación y Formación en Informática Avanzada es
dcterms.subject.materia Ingenierías y Tecnologías es
dcterms.identifier.url Recurso Completo es
dcterms.isPartOf.issue vol. 110 es
dcterms.isPartOf.series Computers in Industry es
cic.isPeerReviewed true es
cic.isFulltext true es
cic.institucionOrigen Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA) es


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