Journal article 407 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 |
| Published: |
Elsevier BV
2019
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa62350 |
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| 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. |
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| College: |
Faculty of Humanities and Social Sciences |
| Start Page: |
64 |
| End Page: |
80 |