## 3 Findings  
### Descriptive Analysis of the Sample  
The descriptive analysis of the 108 sources presented in Figure 3 shows the rising rate in the number of articles published per year and, more specifically, the pronounced increase of publications over the last few years. Among all the selected papers, 81% of them were published since 2010, and 56% of them were published in the last 4 years, indicating the growing attention that the review subject has received from researchers.  
This review confirmed how construction SCM literature is scattered across different journals and research areas. The selected papers were published in 42 different journals that cover 10 research areas. Even though five journals included 45% of the papers, almost 80% of the journals were only being represented by a maximum of two papers. The three most representative subject areas are engineering, business and economics and construction and building technology, accounting for almost 70% of the sample (see Figure 4).  
Moreover, the distribution analysis of the selected papers according to the geographical location of the first author's research institution highlights the spread of papers across various locations. Thirty countries from six different continents contributed to this review. Figure 5 shows that Europe, Asia and Oceania, which altogether accounted for almost 88% of the total number of collected papers, were the major sources of information on the subject, confirming the regional differences in research appointed by [PERSON] et al. [26]. When analyzed by country, the top three contributors were China, England and Australia, with 18%, 12% and 11% of the papers published, respectively.  
Figure 3: Distribution of selected articles by publication year.  
The descriptive analysis of this work also performed a comprehensive keywords co-occurrence network using the VOSviewer tool. According to [34], keywords are a clear and concise way to describe research contents. A network map of keywords facilitates the visualization of the knowledge structure of a particular field of research, unveils emerging elements and depicts the dynamics of the knowledge structure. Therefore, a keywords co-occurrence network was generated setting the minimum number of occurrences to five, as shown in Figure 6.  
The frequency of occurrence of the keywords and their interconnections can be denoted according to node sizes, the distance among nodes and connection lines among keywords [35]. The size of a node is a depiction of its weight in the network, while the distance among nodes represents their relatedness. The closer the nodes are, the stronger the connection between them. Items with the same color represent an identical cluster, meaning that keywords within the same cluster are more closely linked to each other [35]. Accordingly, as can be seen in Figure 6, four different clusters were generated. With ten keywords each, the most important clusters were the red and the green ones, which focused on the logistics and the relationships component bodies, respectively. The blue cluster represented the strategic management component, containing keywords such as'management', 'framework' and'system'. Lastly, the yellow cluster reminded us of the importance of sustainability to the construction supply chain. The keywords co-occurrence network showed that these are the principal component bodies of SCM literature in the construction industry.  
Figure 4: Research areas of journals. Note: Some journals cover more than one research area.  
Figure 5: Distribution of the selected articles by the continent of the first author’s research institution.