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

摘要: Abstract An agri-food value chain (VC) represents a set of activities aimed at delivering highly valuable products to the market. Due diversity actors in VCs´ accumulated knowledge is typically situated within boundaries each entity VC. Hence, question how improve sharing VC, or more specifically can flow and mobilize among different To answer this question, we present decision support system (DSS) for evaluation crossing The proposed DSS developed through two phases: (i) identification most common by using machine learning ontology technologies; (ii) transformation obtained into existing boundaries. In particular, helps identifying, evaluating providing directions improvement We apply evaluate three real VCs: tomato VC Argentina, Chinese leaf China brassica UK. comparative analysis across varied case studies their with lead insights knowledge-based decisions that particular needs address its flow, obtain transparency interoperability data VCs.