¿Cómo influye la confianza del usuario en la adopción de sistemas de información impulsados por IA? Un enfoque de modelado de ecuaciones estructurales

Oscar Danilo  Gavilánez Alvarez; John Javier Cruz Garzón; Cristian Luis Inca Balseca

doi:10.70577/ASCE/395.413/2025

Autores/as

Oscar Danilo Gavilánez Alvarez Escuela Superior Politécnica de Chimborazo (ESPOCH) https://orcid.org/0000-0002-7245-5640
John Javier Cruz Garzón Universidad de las Fuerzas Armadas (ESPE) https://orcid.org/0009-0006-7550-9962
Cristian Luis Inca Balseca Escuela Superior Politécnica de Chimborazo (ESPOCH) https://orcid.org/0000-0002-4795-8297

DOI:

https://doi.org/10.70577/ASCE/395.413/2025

Palabras clave:

Confianza del Usuario; Utilidad Percibida; Adopción de IA; Modelo SEM; Transparencia Algorítmica.

Resumen

Este estudio emplea un Modelo de Ecuaciones Estructurales (SEM) para analizar los factores que influyen en la adopción de sistemas de IA, destacando el papel central de la confianza del usuario (β = 0.49) y la utilidad percibida (β = 0.089) como predictores clave. Los resultados validan el Technology Acceptance Model (TAM), pero amplían su marco al demostrar que la confianza actúa como mediador crítico, especialmente en contextos de incertidumbre tecnológica. La seguridad percibida mostró un efecto moderado (β = 0.23), relevante en aplicaciones sensibles, mientras que la usabilidad tuvo un impacto mínimo (β = 0.04), sugiriendo que los usuarios priorizan la fiabilidad sobre la facilidad de uso. Las variables organizacionales (ej. tamaño) tuvieron un efecto marginal, enfatizando la predominancia de factores individuales. Los hallazgos subrayan la necesidad de diseños centrados en transparencia y explicabilidad (XAI) para fortalecer la confianza y facilitar la adopción.

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Citas

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