Neuromanagement Ontology

Authors

  • Javiera Müller Núñez Universidad de Valparaíso
  • Jonathan Vásquez Verdugo Universidad de Valparaíso

DOI:

https://doi.org/10.29393/RAN11-12MGJJ20012

Keywords:

knowledge mapping, meta-analysis, neuromanagement, ontology analysis, organizational dynamics

Abstract

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.

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Published

2025-05-09

How to Cite

Müller Núñez, J., & Vásquez Verdugo, J. (2025). Neuromanagement Ontology. RAN - Revista Academia & Negocios, 11(2), 1-13. https://doi.org/10.29393/RAN11-12MGJJ20012

Issue

Section

Research Article

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