No Cover Image

Journal article 593 views

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

Biljana Mileva Boshkoska, Shaofeng Liu, Guoqing Zhao, Alejandro Fernandez, Susana Gamboa, Mariana del Pino, Pascale Zarate, Jorge Hernandez, Huilan Chen

Computers in Industry, Volume: 110, Pages: 64 - 80

Swansea University Author: Guoqing Zhao

Full text not available from this repository: check for access using links below.

Check full text

DOI (Published version): 10.1016/j.compind.2019.04.012

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 impr...

Full description

Published in: Computers in Industry
ISSN: 0166-3615
Published: Elsevier BV 2019
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa62350
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2023-01-17T12:53:38Z
last_indexed 2023-02-18T04:13:56Z
id cronfa62350
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2023-02-17T13:37:47.3705852</datestamp><bib-version>v2</bib-version><id>62350</id><entry>2023-01-17</entry><title>A decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains</title><swanseaauthors><author><sid>2ff29aa347835abe2af6d98fa89064b4</sid><firstname>Guoqing</firstname><surname>Zhao</surname><name>Guoqing Zhao</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2023-01-17</date><deptcode>BBU</deptcode><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&#xB4; 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.</abstract><type>Journal Article</type><journal>Computers in Industry</journal><volume>110</volume><journalNumber/><paginationStart>64</paginationStart><paginationEnd>80</paginationEnd><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0166-3615</issnPrint><issnElectronic/><keywords/><publishedDay>1</publishedDay><publishedMonth>9</publishedMonth><publishedYear>2019</publishedYear><publishedDate>2019-09-01</publishedDate><doi>10.1016/j.compind.2019.04.012</doi><url/><notes/><college>COLLEGE NANME</college><department>Business</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BBU</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2023-02-17T13:37:47.3705852</lastEdited><Created>2023-01-17T12:50:44.4628069</Created><path><level id="1">Faculty of Humanities and Social Sciences</level><level id="2">School of Management - Business Management</level></path><authors><author><firstname>Biljana Mileva</firstname><surname>Boshkoska</surname><order>1</order></author><author><firstname>Shaofeng</firstname><surname>Liu</surname><order>2</order></author><author><firstname>Guoqing</firstname><surname>Zhao</surname><order>3</order></author><author><firstname>Alejandro</firstname><surname>Fernandez</surname><order>4</order></author><author><firstname>Susana</firstname><surname>Gamboa</surname><order>5</order></author><author><firstname>Mariana del</firstname><surname>Pino</surname><order>6</order></author><author><firstname>Pascale</firstname><surname>Zarate</surname><order>7</order></author><author><firstname>Jorge</firstname><surname>Hernandez</surname><order>8</order></author><author><firstname>Huilan</firstname><surname>Chen</surname><order>9</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2023-02-17T13:37:47.3705852 v2 62350 2023-01-17 A decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains 2ff29aa347835abe2af6d98fa89064b4 Guoqing Zhao Guoqing Zhao true false 2023-01-17 BBU 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. Journal Article Computers in Industry 110 64 80 Elsevier BV 0166-3615 1 9 2019 2019-09-01 10.1016/j.compind.2019.04.012 COLLEGE NANME Business COLLEGE CODE BBU Swansea University 2023-02-17T13:37:47.3705852 2023-01-17T12:50:44.4628069 Faculty of Humanities and Social Sciences School of Management - Business Management Biljana Mileva Boshkoska 1 Shaofeng Liu 2 Guoqing Zhao 3 Alejandro Fernandez 4 Susana Gamboa 5 Mariana del Pino 6 Pascale Zarate 7 Jorge Hernandez 8 Huilan Chen 9
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
Guoqing Zhao
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
author_id_str_mv 2ff29aa347835abe2af6d98fa89064b4
author_id_fullname_str_mv 2ff29aa347835abe2af6d98fa89064b4_***_Guoqing Zhao
author Guoqing Zhao
author2 Biljana Mileva Boshkoska
Shaofeng Liu
Guoqing Zhao
Alejandro Fernandez
Susana Gamboa
Mariana del Pino
Pascale Zarate
Jorge Hernandez
Huilan Chen
format Journal article
container_title Computers in Industry
container_volume 110
container_start_page 64
publishDate 2019
institution Swansea University
issn 0166-3615
doi_str_mv 10.1016/j.compind.2019.04.012
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 0
active_str 0
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.
published_date 2019-09-01T04:21:54Z
_version_ 1763754444397215744
score 11.035634

Similar Items