A Decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains
A Decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains
| cic.institucionOrigen | Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA) | es |
| cic.isFulltext | true | es |
| cic.isPeerReviewed | true | es |
| cic.lugarDesarrollo | Laboratorio de Investigación y Formación en Informática Avanzada | es |
| cic.version | info:eu-repo/semantics/submittedVersion | es |
| dc.date.accessioned | 2020-05-21T13:12:16Z | |
| dc.date.available | 2020-05-21T13:12:16Z | |
| dc.identifier.uri | https://digital.cic.gba.gob.ar/handle/11746/10583 | |
| 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.creator.author | Boshkoska, Biljana Mileva | es |
| dcterms.creator.author | Liu, Shaofeng | es |
| dcterms.creator.author | Zhao, Guoqing | es |
| dcterms.creator.author | Fernández, Alejandro | es |
| dcterms.creator.author | Gamboa, Susana | es |
| dcterms.creator.author | del Pino, Mariana | es |
| dcterms.creator.author | Zarate, Pascale | es |
| dcterms.creator.author | Hernandez, Jorge | es |
| dcterms.creator.author | Chen, Huilan | es |
| dcterms.identifier.url | Recurso Completo | es |
| dcterms.isPartOf.issue | vol. 110 | es |
| dcterms.isPartOf.series | Computers in Industry | es |
| 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 |
| dcterms.subject.materia | Ingenierías y Tecnologías | es |
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