Figure 2
The network displays multiple clusters of nodes, each represented by colored circles with adjacent labels and interconnected by thin curved lines indicating conceptual or citation linkages. At the center, the largest blue and red overlapping node is labeled “artificial intelligence,” forming the core of the visualization. This central node is surrounded by several connected nodes of varying colors that represent related concepts and research themes. Toward the centre right, a large green cluster extends outward from the central term “artificial intelligence,” with strongly connected nodes labeled “human resources management,” “performance management,” “performance evaluation,” “recruitment,” “development,” “workforce planning,” “talent management,” “overall business performance,” “process,” “use,” “opportunity,” and “artificial intelligence techno.” At the bottom, the blue nodes are labeled “company,” “field,” “human resource,” “company performance,” “employee performance,” and “integration.” On the bottom left, the red nodes are labeled “firm performance,” “business performance,” “adoption,” “training,” “review,” “industry,” “article,” and “business influence.” Three cyan nodes are labeled “practice,” “research,” and “person.” At the top, a yellow cluster branches outward from nodes labeled “organizational performance,” “technology,” “implementation,” “study,” “future,” “era,” “strategy,” and “h r analytic.” The purple nodes on the upper left are labeled “paper,” “effect,” “firm performance,” and “challenge.”Network visualisation of keywords related to “artificial intelligence”, “workforce planning” and “firm performance” (node size = frequency; edge thickness = co-occurrence strength). Source: Authors’ own elaboration using VOSviewer software (Van Eck and Waltman, 2010)