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

Boshokoska, Biljana Mileva and Fernandez, Alejandro and Zhao, Guoqing and Chen, Huilan and Hernández, Jorge E. and Del Pino, Mariana and Zaraté, Pascale and Liu, Shaofeng and Gamboa, Susana A decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains. (2019) Computers in Industry, 110. 64-80. ISSN 0166-3615

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Official URL: https://doi.org/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 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.

Item Type:Article
HAL Id:hal-02878934
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Other partners > Universidad Nacional de la Plata - UNLP (ARGENTINA)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Institut "Jožef Stefan" - IJS (SLOVENIA)
Other partners > Plymouth University (UNITED KINGDOM)
Other partners > University of Liverpool (UNITED KINGDOM)
Laboratory name:
Funders:
European Commission
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Deposited On:17 Jun 2020 15:12

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