Neuro-management and artificial intelligence: new dynamics in organizational strategic decision-making

Wilber Huamani Paccaya, Edwards Jesús Aguirre Espinoza and Luz Marina Hilario Ninaquispe
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Wilber Huamani Paccaya: Universidad Nacional de San Antonio Abad del Cusco, Perú
Edwards Jesús Aguirre Espinoza: Universidad Nacional de San Antonio Abad del Cusco, Perú
Luz Marina Hilario Ninaquispe: Universidad Nacional de San Antonio Abad del Cusco, Perú

NeuroData, 2026, vol. 3, 162

Abstract: Introduction: Strategic decision-making in highly digitalized organizational environments faces increasing levels of complexity, uncertainty, and information overload. Neuro-management, as an emerging discipline integrating neuroscience findings applied to leadership, and artificial intelligence (AI), as an algorithmic support system for predictive analysis, are shaping a new hybrid model of strategic decision-making.Method: A quantitative, correlational-explanatory study was conducted using a non-experimental, cross-sectional design. The sample consisted of 178 executives from companies undergoing active digital transformation processes. Three validated instruments were applied to measure neurocognitive leadership, strategic AI adoption, and the quality of decision-making. Descriptive analyses, Pearson correlations, multiple regression, and structural equation modeling were employed.Results: Significant correlations were found between neuro-management and artificial intelligence (r = .64; p

Keywords: Neuro-management; artificial intelligence; strategic decision making; neurocognitive leadership; digital transformation; augmented decision-making (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:cxn:neurod:v:3:y:2026:id:162

DOI: 10.63688/neurodata2026162

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