A Decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains
dc.contributor.author | Boshkoska, BM | |
dc.contributor.author | Liu, Shaofeng | |
dc.contributor.author | Zhao, G | |
dc.contributor.author | Chen, H | |
dc.contributor.author | Fernandez, A | |
dc.contributor.author | Gamboa, S | |
dc.contributor.author | del Pino, M | |
dc.contributor.author | Zarate, P | |
dc.contributor.author | Hernandez, J | |
dc.date.accessioned | 2019-05-10T14:16:16Z | |
dc.date.issued | 2019-09 | |
dc.identifier.issn | 0166-3615 | |
dc.identifier.issn | 1872-6194 | |
dc.identifier.uri | http://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.extent | 64-80 | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | Elsevier | |
dc.subject | Knowledge sharing | |
dc.subject | Knowledge boundaries | |
dc.subject | Decision support system | |
dc.subject | Agricultural value chain | |
dc.title | A Decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains | |
dc.type | journal-article | |
dc.type | Journal Article | |
plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000472988000006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.volume | 110 | |
plymouth.publication-status | Published | |
plymouth.journal | Computers in Industry | |
dc.identifier.doi | 10.1016/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.dateAccepted | 2019-04-19 | |
dc.rights.embargodate | 2021-6-6 | |
dc.identifier.eissn | 1872-6194 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.funder | European Commission | |
rioxxterms.identifier.project | Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems | |
rioxxterms.versionofrecord | 10.1016/j.compind.2019.04.012 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2019-09 | |
rioxxterms.type | Journal Article/Review | |
plymouth.funder | Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems::European Commission |