A Decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains

Autores
Boshkoska, Biljana Mileva; Liu, Shaofeng; Zhao, Guoqing; Fernández, Alejandro; Gamboa, Susana; del Pino, Mariana; Zarate, Pascale; Hernandez, Jorge; Chen, Huilan
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión enviada
Descripción
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.
Materia
Ingenierías y Tecnologías
Knowledge Sharing
Knowledge Boundaries
Decision support systems
Agricultural value chain
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/10583

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network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling A Decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chainsBoshkoska, Biljana MilevaLiu, ShaofengZhao, GuoqingFernández, AlejandroGamboa, Susanadel Pino, MarianaZarate, PascaleHernandez, JorgeChen, HuilanIngenierías y TecnologíasKnowledge SharingKnowledge BoundariesDecision support systemsAgricultural value chainAn 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.2019-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/10583enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:39:59Zoai:digital.cic.gba.gob.ar:11746/10583Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:40:00.178CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv A Decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains
title A Decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains
spellingShingle A Decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains
Boshkoska, Biljana Mileva
Ingenierías y Tecnologías
Knowledge Sharing
Knowledge Boundaries
Decision support systems
Agricultural value chain
title_short A Decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains
title_full A Decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains
title_fullStr A Decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains
title_full_unstemmed A Decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains
title_sort A Decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains
dc.creator.none.fl_str_mv Boshkoska, Biljana Mileva
Liu, Shaofeng
Zhao, Guoqing
Fernández, Alejandro
Gamboa, Susana
del Pino, Mariana
Zarate, Pascale
Hernandez, Jorge
Chen, Huilan
author Boshkoska, Biljana Mileva
author_facet Boshkoska, Biljana Mileva
Liu, Shaofeng
Zhao, Guoqing
Fernández, Alejandro
Gamboa, Susana
del Pino, Mariana
Zarate, Pascale
Hernandez, Jorge
Chen, Huilan
author_role author
author2 Liu, Shaofeng
Zhao, Guoqing
Fernández, Alejandro
Gamboa, Susana
del Pino, Mariana
Zarate, Pascale
Hernandez, Jorge
Chen, Huilan
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Ingenierías y Tecnologías
Knowledge Sharing
Knowledge Boundaries
Decision support systems
Agricultural value chain
topic Ingenierías y Tecnologías
Knowledge Sharing
Knowledge Boundaries
Decision support systems
Agricultural value chain
dc.description.none.fl_txt_mv 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.
description 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.
publishDate 2019
dc.date.none.fl_str_mv 2019-04-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/submittedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/10583
url https://digital.cic.gba.gob.ar/handle/11746/10583
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
reponame_str CIC Digital (CICBA)
collection CIC Digital (CICBA)
instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
institution CICBA
repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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