A bibliometric analysis of collaborative supply chain risk management in crisis situations

Abstract

Crises including the COVID-19 pandemic have caused disruptive changes to many industries and supply chains around the world. Their severe impacts on business and the economy provide an opportunity to increase preparedness and reveal the importance of implementing a collaborative supply chain risk management process. This paper uses a bibliometric analysis based on a co-citation analysis to reveal the research areas and gaps concerning collaborative supply chain risk management with a focus on crisis situations. Using a structured approach based on Soni and Kodali (2011) and Gmür (2003), 269 papers were extracted from the database Web of Science (WOS) using a specific search string. Data filtering and preparation using title, abstract, and full paper screening, as well as the number of cited-in references, led to a final sum of 50 papers. These papers were prepared for the co-citation analysis based on a co-citation matrix that served as an input for the Organizational Risk Analyzer (ORA) software. The cluster analysis was carried out in the ORA software with a threshold of 0.01, and based on that, five clusters were extracted from the network. Extracted main research areas include collaboration approaches and criteria as well as decision-making approaches and lessons learned from COVID-19. Research gaps and suggested future research areas are presented based on the clusters analysis.