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
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/10583
Ver los metadatos del registro completo
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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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13.070432 |