# Supplier Risk in Supply Chain Risk Management: An Updated Conceptual Framework
## 4 Results and Discussion
### Research Profiling  
All 91 articles obtained from WoS are from 2004 to 2023, representing a recent growth of this topic. It trends towards an increase in annual production, with the highest concentration of publications occurring from 2018 to 2021 and the peak of 12 publications (13% of the total) in 2021. We can conclude that the topic is contemporary and of growing interest in the scientific community. A total of 50 journals were identified in the sample, most in the field of operations management. However, 14 knowledge areas were identified: considering that an article might be associated with more than one area, the most representative are Engineering, with 43 records (47% of the sample), Economics and Business, with 34 records (37%), and Operational Research and Management Science, with 30 records (33%). It is also noted that there are research areas as diverse as Computer Science, Environmental Sciences, and Automation Control. These findings are relevant. Thus, they lead to the inference that the theme SCRM in suppliers is applicable in different contexts and allows for varied approaches, application possibilities, and study contexts. The theme is also relevant globally. We have identified 258 authors from 35 countries, affiliated with 192 universities or other research institutions. The USA, China, England, Australia, and Germany are the most productive countries. Most authors (95%) are associated with a single publication. It is noted that [PERSON] and [PERSON] are the most productive authors, both of whom are referenced in this research. The 91 papers are cited 3158 times on WoS, an average of 34.7 citations per article, where 28 records (31%) are responsible for 80% of total citations, all referenced in this research. Next, CitNet Explorer was used to analyze the citation network. This software performs a scan that reveals citation links in addition to the collected articles themselves; that is, it extrapolates the main research and generates a network with more than 91 articles. Thus, 104 publications were obtained, covering the period from 2001 to 2023, with 237 citation links. Publications with the highest values for the citation score indicator are the most cited. Then, a graph was generated, where each vertex (node) represents a publication, labeled by the first author's surname, and each edge (loop) indicates that the publication above was cited by the publication below. Figure 5 illustrates this graph, where some labels were omitted for visual reasons. The minimum size established as a parameter for creating a cluster was 10 citation relationships. Thus, four clusters were generated, divided into the following colors: (i) blue, 29 publications; (ii) green, 23 publications; (iii) purple, 18 publications; and (iv) orange, 17 publications. The remaining 17 publications, with a citation score of zero and no ties identified in the network, were not associated with any cluster. It appears that the starting point, that is, the oldest publication, is the work of [PERSON] et al. : \"A review of methods supporting supplier selection\", published in 2001. The article has a citation score indicator of 12. It can be said that it influenced the emergence of the SCRM topic in suppliers, despite not meeting the criteria for fitting into the set of results of the main research, serving as a \"pre-theme\". It is also observed that the highest citation score value in the network is 28, referring to the article by [PERSON]: \"Perspectives in supply chain risk management\" [1], published in 2006 by the International Journal of Production Economics. This fact is coherent, as it is a classic and seminal work for the SCRM research field in general, influencing several branches of the field. Hence, it can be considered as responsible for propelling the supplier-focused approach, a subset of SCRM. Therefore, it was used as a pillar for developing Section 3.2 of this research (SCRM from the supplier management approach).