Journal article 478 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
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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...
Published in: | Computers in Industry |
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ISSN: | 0166-3615 |
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Elsevier BV
2019
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URI: | https://cronfa.swan.ac.uk/Record/cronfa62350 |
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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 |
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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 |
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Journal article |
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Computers in Industry |
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110 |
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64 |
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2019 |
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Swansea University |
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0166-3615 |
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10.1016/j.compind.2019.04.012 |
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Elsevier BV |
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Faculty of Humanities and Social Sciences |
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Faculty of Humanities and Social Sciences |
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School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management |
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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 |
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1763754444397215744 |
score |
11.021648 |