Análisis de la percepción de ingenieros hondureños sobre la aplicación de inteligencia artificial en la gestión de proyectos
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Date
2025-11-14
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Universidad Tecnológica Centroamericana UNITEC
Abstract
El presente Trabajo de Graduación tuvo como propósito diseñar una estrategia que fomente la adopción de la inteligencia artificial en la gestión de proyectos por parte de ingenieros en Honduras. El objetivo principal fue analizar el nivel de conocimiento, percepción y disposición de los profesionales hacia el uso de la inteligencia artificial, identificando barreras y oportunidades para su implementación en el contexto nacional. Metodológicamente, se aplicó un enfoque mixto que combinó la recolección de datos cuantitativos mediante encuestas a 362 ingenieros y cualitativos a través de entrevistas a cinco especialistas en el área, lo que permitió obtener una visión integral del fenómeno estudiado. Los resultados evidenciaron que la mayoría de los ingenieros reconocen el potencial de la inteligencia artificial para mejorar la eficiencia, reducir errores y optimizar recursos en la gestión de proyectos; sin embargo, también se identificaron limitaciones asociadas a la falta de capacitación, resistencia al cambio y disponibilidad de recursos tecnológicos. A partir de estos hallazgos se diseñó una propuesta estratégica que integra capacitación técnica, difusión de buenas prácticas, gestión del cambio y fortalecimiento de la cultura digital, con el fin de facilitar la transición hacia la adopción de estas tecnologías. En conclusión, la investigación demostró que existe un terreno favorable para la implementación de la inteligencia artificial en la gestión de proyectos, siempre que se acompañe de una estrategia estructurada que reduzca barreras y potencie su aceptación en la comunidad profesional.
This Graduation Project aimed to design a strategy to foster the adoption of artificial intelligence in project management by engineers in Honduras. The main objective was to analyze the level of knowledge, perception, and willingness of professionals toward the use of artificial intelligence, identifying barriers and opportunities for its implementation in the national context. Methodologically, a mixed approach was applied, combining quantitative data collected through surveys administered to 362 engineers and qualitative insights obtained from interviews with five specialists in the field, which allowed for a comprehensive understanding of the studied phenomenon. The results showed that most engineers recognize the potential of artificial intelligence to improve efficiency, reduce errors, and optimize resources in project management; however, limitations related to lack of training, resistance to change, and availability of technological resources were also identified. Based on these findings, a strategic proposal was designed, integrating technical training, dissemination of best practices, change management, and the strengthening of digital culture, in order to facilitate the transition toward the adoption of these technologies. In conclusion, the study demonstrated that there is a favorable environment for implementing artificial intelligence in project management, provided that a structured strategy is developed to reduce barriers and promote its acceptance within the professional community.
This Graduation Project aimed to design a strategy to foster the adoption of artificial intelligence in project management by engineers in Honduras. The main objective was to analyze the level of knowledge, perception, and willingness of professionals toward the use of artificial intelligence, identifying barriers and opportunities for its implementation in the national context. Methodologically, a mixed approach was applied, combining quantitative data collected through surveys administered to 362 engineers and qualitative insights obtained from interviews with five specialists in the field, which allowed for a comprehensive understanding of the studied phenomenon. The results showed that most engineers recognize the potential of artificial intelligence to improve efficiency, reduce errors, and optimize resources in project management; however, limitations related to lack of training, resistance to change, and availability of technological resources were also identified. Based on these findings, a strategic proposal was designed, integrating technical training, dissemination of best practices, change management, and the strengthening of digital culture, in order to facilitate the transition toward the adoption of these technologies. In conclusion, the study demonstrated that there is a favorable environment for implementing artificial intelligence in project management, provided that a structured strategy is developed to reduce barriers and promote its acceptance within the professional community.
Keywords
Gestión de proyectos, Inteligencia artificial, Recursos tecnológicos