Figure 6
The graph displays a hierarchical clustering diagram of keywords. The vertical axis is labeled “Height” and ranges from 0 to 6 in increments of 2 units. The horizontal axis lists multiple keywords representing topics. The dendrogram consists of branching lines that merge keywords and groups of keywords at different heights. The branches start from the bottom where individual keywords appear and progressively join together as the height increases, indicating hierarchical clustering relationships among the topics. On the left side, a cluster highlighted with a red branch includes keywords such as “quality,” “growth,” “innovation,” “fluidity,” “governance,” “trust,” “operational processes,” and “selection.” These keywords merge at higher levels forming a larger group. Across the center and right side, numerous keywords appear connected through branching structures. These include terms related to “systems,” “decision making,” “debt limits,” “public sector,” “Covid-19,” “management,” “performance,” “risk management,” “big data analytics,” “blockchain technology,” “supply chains,” “logistics,” “data sharing,” “technology adoption,” “operations,” “supply chain finance,” “determinants,” and “model development.” The branches progressively connect these keywords at different levels of the hierarchy. Further to the right, additional keywords cluster together including “blockchain,” “artificial intelligence,” “supply chains,” “Industry 4.0 technologies,” “management strategies,” “performance evaluation,” “digital systems,” and “organizational integration.” These groups join with other clusters at higher heights, forming larger topic groupings. A dashed rectangular boundary surrounds the dendrogram area, indicating the clustering region of the topics. The branching structure visually represents how keywords group together based on similarity, with clusters merging as the height increases.Dendrogram of thematic clusters derived from bibliometric coupling analysis. Source: Authors’ elaboration based on Bibliometrix software