Neuromanagement Research: Bibliometric Mapping by Integrating Scopus and Web of Science Data

This study conducts a comprehensive bibliometric analysis of neuromanagement, an emerging interdisciplinary field at the confluence of neuroscience and organizational science. In contrast to prior research that utilized a singular database, this study integrates 282 publications from both the Web of Science and Scopus, employing the R-based Bibliometrix package. The findings reveal a marked increase in scholarly output post-2015, with a focus on themes such as decision-making, leadership, emotion, event-related potentials (ERP), the brain and cognition. Although Chinese institutions dominate publication output, international collaboration remains limited. The largest co-citation network was associated with Qing-guo Ma, while Schupp and Semlitsch led another significant cluster. The influential study by Botvinik-Nezer et al. (2020) on variability in neuroimaging analysis is the most cited paper in this domain and continues to inform empirical research. This study identifies the following major research gaps: a paucity of empirical studies, insufficient engagement with ethical concerns in brain-based interventions, and underrepresentation of regions outside China, the United States, and Europe. This study provides a structural thematic mapping of neuromanagement and advocates for interdisciplinary, experimental, and ethically grounded research in the future. It also recommends the use of repeated comparative bibliometric analyses combined with qualitative meta-analyses to monitor the annual growth of the field.