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dc.contributor.authorBoshkoska, BM
dc.contributor.authorLiu, Shaofeng
dc.contributor.authorZhao, G
dc.contributor.authorChen, H
dc.contributor.authorFernandez, A
dc.contributor.authorGamboa, S
dc.contributor.authordel Pino, M
dc.contributor.authorZarate, P
dc.contributor.authorHernandez, J
dc.date.accessioned2019-05-10T14:16:16Z
dc.date.issued2019-09
dc.identifier.issn0166-3615
dc.identifier.issn1872-6194
dc.identifier.urihttp://hdl.handle.net/10026.1/13823
dc.description.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.

dc.format.extent64-80
dc.languageen
dc.language.isoen
dc.publisherElsevier
dc.subjectKnowledge sharing
dc.subjectKnowledge boundaries
dc.subjectDecision support system
dc.subjectAgricultural value chain
dc.titleA Decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000472988000006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.volume110
plymouth.publication-statusPublished
plymouth.journalComputers in Industry
dc.identifier.doi10.1016/j.compind.2019.04.012
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business/Plymouth Business School
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA17 Business and Management Studies
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2019-04-19
dc.rights.embargodate2021-6-6
dc.identifier.eissn1872-6194
dc.rights.embargoperiodNot known
rioxxterms.funderEuropean Commission
rioxxterms.identifier.projectEnhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems
rioxxterms.versionofrecord10.1016/j.compind.2019.04.012
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2019-09
rioxxterms.typeJournal Article/Review
plymouth.funderEnhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems::European Commission


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