## 3 Results
### SLNA on Resilient SCM  
The findings from the co-occurrence analysis unveiled the presence of five distinct clusters within the supply chain resiliency literature, determined through CC and CD computations. The CC is related to the importance of a given theme, while the CD identifies the development of themes [59]. These derived values facilitated the categorization of clusters into discrete quadrants illustrated on the thematic map (see Figure 9). In the thematic map, the x-axis and y-axis are associated with the CC and CD, respectively. As a reminder, the top right quadrant is related to motor themes, while the bottom right one identifies basic themes. Motor themes are the most popular ones due to their high CC and CD, while the basic themes are considered as such since they are characterized by high relevance and low development. On the other hand, the top left and bottom left sectors are associated with niche themes and emerging or declining themes, respectively. The  
Figure 8: Type of dimensions considered by the 15 documents.  
niche themes are developed but isolated. Finally, the emerging or declining themes are characterized by low development and centrality, which is why they are likely to emerge or decline.  
The most significant cluster identified was the 'Supply chain' cluster, depicted in red, encompassing 3288 occurrences across 22 keywords. Notably, this cluster resided solely within the quadrant designated for basic themes. Within this cluster, the keywords \"robustness\" (70 occurrences) and \"agility\" (66 occurrences) appear as prominent, validating the identified dimensions. In this cluster, resilience elements and disruptive events such as health crises and natural disasters were prominently featured. For instance, \"Covid\" also appears in this cluster, meaning that supply chain resilience has lured attention, especially after the recent pandemic. This is demonstrated by the numerous studies jointly treating supply chain resilience and COVID-19 [32; 60; 61]. Adjacent to this cluster, both \"Supply chain management\" (2534 occurrences across 27 keywords, depicted in blue) and \"Supply chain resilience\" (2149 occurrences across 22 keywords, shown in green) jointly occupied the quadrant associated with basic themes. The first cluster has relevant keywords such as \"risk management\" (327 occurrences) and \"risk assessment\" (56 occurrences). On the other hand, the latter includes as relevant keywords \"collaboration\" (48 occurrences) and \"flexibility\" (48 occurrences). The former findings are aligned with the results of the SLR. Contrarily, the final two clusters, \"Blockchain\" (with 805 occurrences across 12 keywords, represented in purple) and \"Supplier selection\" (with 133 occurrences across 2 keywords, portrayed in orange), were positioned within the quadrant designated for niche themes. Notably, the blockchain cluster uniquely explored a different disruptive type, emphasizing information exchange and potential remedies concerning cybersecurity threats following destructive events. Indeed, the blockchain is recognized as a technology that drastically reduces the possibility of cyberattacks [62]. The \"Blockchain\" cluster contains the term \"transparency\" (18 occurrences), which also emerged from the SLR. Considering the \"Supplier selection\" cluster, it is worth noting that the selection of suppliers has lured the attention of many scholars. However, it emerges as a niche theme when it is considered along with supply chain disruptive events or resilience. In this context, relevant works can be found [63; 64; 65]. Finally, it is worth noting that no emerging or declining themes and no motor themes were identified through the co-occurrence analysis.  
Based on the former considerations, it is possible to state that the SLR and SLNA outcomes are aligned. Indeed, most of the dimensions found through the SLR are also depicted as quite relevant keywords for the SLNA.  
Figure 9: Thematic map of resilient SCM.