Düggelin, WilhelmLaurenzi, EmanueleAraújo, Joãode la Vara, Jose LuisSantos, Maribel YasminaAssar, Saïd2025-02-102024978-3-031-59464-9978-3-031-59465-610.1007/978-3-031-59465-6_5https://irf.fhnw.ch/handle/11654/48429Events in recent years such as the Russo-Ukrainian war of 2022 and the covid-19 pandemic have once again shown the importance of relying on resilient supply chain networks. The creation and maintenance of such networks is, however, a rather knowledge intensive task, which is still challenging. To tackle this, we introduce a first version of a knowledge graph-based decision support system aiming to help supply chain risk managers to make sourcing decisions. The system was designed by following the design science research methodology, which is supplemented with the Ontology Development 101 [25] for rigor in creation of the knowledge graph schema. Competency questions elicited with domain experts were used to evaluate the proposed system.en330 - Wirtschaft658 - General Management04B - Beitrag Konferenzschrift66-81