Using Knowledge Graphs and Human-Centric Artificial Intelligence for Reconfigurable Supply Chains: A Research Framework

Reconfigurable supply chains received increasing interest from academia and industry in the past years, especially because recent events such as COVID-19 pandemic revealed vulnerability of present chains. Especially rapid digitalization emergence artificial intelligence chain management create new opportunities for implementing reconfigurable In this paper, we propose a concept that uses knowledge graph graph-based to recommend reconfigurations chain. Due importance these strategic decisions, considers human-centric approach using recommender system. The exploits inherent structure machine-readable human-understandable database also supports reasoning. Finally, provide three research hypotheses examine integration open-source graphs news monitoring tools.