Neuromanagement Ontology

Purpose: To develop and apply an ontology-based framework that facilitates a structured and theoretically grounded understanding of the neuromanagement field.Methodology: In the first phase, neuromanagement ontology is constructed on theoretical foundations. The second phase involves a systematic search in Scopus and Web of Science (2015–2024), where relevant articles are identified, coded, and mapped onto this ontology, allowing for the identification of both under-explored and extensively studied areas.Findings: Research predominantly focuses on individual-level phenomena, based on decision-making and cognitive processes. In contrast, areas such as the implementation of incentive systems, organizational structure changes, and behavioral constructs (motivation, perception, and risk-aversion) remain significantly under-researched. Additionally, limited attention has been given to team dynamics, C-level executives, and principal-agent relationships.Implications: The analysis reveals conceptual gaps in key areas of neuromanagement. Future attention to these blind spots could strengthen theoretical insights and improve organizational practices, particularly regarding decision-making, leadership, and incentive system design.Originality: We introduce a novel ontology customized to systematically classify and visualize the neuromanagement literature, clearly differentiating between well-developed (bright spots) and under-explored areas (blind spots). This approach contributes to consolidating neuromanagement as a robust research field.