There is emerging consensus that the talent management (TM) literature has become segmented and siloed with distinct clusters of research which, in the long term, hampers the development of the field. This review proposes that for TM research to evolve to the next level, it must bridge these silos and investigate crosscutting research questions. We utilize both histographic analysis and bibliographic coupling to analyze 474 articles published between 2004 and 2023 to identify research clusters. The histographic analysis revealed five clusters and the bibliographic coupling revealed two clusters. Utilizing these findings, we identify four tensions across the research clusters and we propose four crossing strategies (sequential, parallel, bridging and interplay) to provide a roadmap for future TM research.
