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Article
Affiliation(s)

Universidad de la Salud, Mexico City, Mexico Universidad Nacional Autonoma de Mexico, Mexico City, Mexico Universidad Autonoma de Tlaxcala, Tlaxcala, Mexico Universidad Anahuac, Mexico City, Mexico Cetys Universidad - Graduate School of Business Francisco de Paula Santander University Unified National Corporation of Higher Education CUN, Colombia Universidad Autónoma del Estado de México, Toluca City

ABSTRACT

This article analyzes the relationship between the use of free software and artificial neural networks and the presence of organizational violence in educational settings of public security administration. From a psychological perspective, organizational violence is conceptualized as a multidimensional construct involving structural, symbolic, and interpersonal dynamics that affect learning environments and institutional functioning. A cross-sectional and correlational design was employed with participants enrolled in public security training programs. Data were collected through validated instruments measuring organizational violence, digital autonomy in open-source environments, and analytical competencies in artificial intelligence (AI). Results indicate that higher levels of digital autonomy and analytical competencies are associated with lower levels of perceived organizational violence. The artificial neural network model demonstrated strong predictive capacity, revealing both direct and nonlinear relationships among variables. Findings suggest that the integration of open technologies and advanced analytical skills contributes to more transparent, participatory, and less coercive educational environments. The study highlights the importance of aligning technological innovation with institutional transformation to address organizational violence in highly structured public sector contexts.

KEYWORDS

organizational violence, public security education, free software, artificial neural networks, digital autonomy, analytical competencies, educational psychology

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