Mapping the Intersection of Organizational Agility and Talent Management: A Bibliometric Analysis

This research paper investigates the conceptual evolution and architecture of Organisational Agility and Talent Management through a longitudinal bibliometric analysis spanning 2001–2025. Both constructs have gained relevance in contemporary management research, yet their interdependence and thematic convergence remain insufficiently mapped. Early academic work treated Organisational Agility primarily as an operational capability and Talent Management as a fragmented human resource function. Over time, digital transformation, adaptive leadership, and the strategic importance of human capital have progressively aligned the two domains, suggesting a deeper conceptual integration. To examine this development, the study employs a quantitative bibliometric methodology using Web of Science and Scopus databases, complemented by Biblioshiny and VOSviewer for publication trend analysis, co-occurrence mapping, and cluster identification. The study is guided by three research questions on their evolution, correlation, and emerging thematic clusters. The findings reveal a clear transition from isolated conceptualisations to an integrated, human-resource-centred framework in which Talent Management consistently emerges as the central enabling construct of Organisational Agility. Network and cluster analyses show that agility is embedded within broader themes such as leadership, performance, digital innovation, and dynamic capabilities, indicating its dependence on talent-driven mechanisms. Specifically, the analysis indicated a strong but asymmetric correlation, with Talent Management acting as the predominant node. The results indicate that agility is currently perceived as a human‑centred organisational capacity. The study contributes to the field by offering the first systematic, data-driven conceptual map of the Talent Management–Organisational Agility relationship, establishing a solid foundation for further theoretical and empirical work.