Inteligencia artificial (ia): formatos de aprendizaje en gestión de proyectos - una revisión sistemática de la literatura
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La Inteligencia Artificial (IA) y los modelos de aprendizaje profundo (Deep Learning), en la actualidad son un campo de la computación y la informática que permite muchas aplicaciones e innovaciones en la investigación. En este sentido, para el área de la gestión de los proyectos, (campo multidisciplinario en muchas otras áreas), es imposible que el impacto de la Inteligencia Artificial no influya en sus áreas de conocimientos. Por lo tanto, el objetivo de este estudio es analizar el uso de la inteligencia artificial (IA) y sus modelos de aprendizaje profundo (Deep Learning) en gestión de proyectos y cómo puede aportar en la eficiencia de sus procesos. Respecto al método de estudio, se realizó una revisión sistemática de la literatura siguiendo el modelo Preferred Reporting Items for Systematic Literature Reviews and Meta-Analyses (PRISMA). En el proceso de la depuración bibliográfica se obtuvieron 58 estudios finales, de los cuales 32 se escogieron como fuentes primarias y 26 como fuentes segundarias. Por consiguiente, se emplearon tres fases: fase I=inicial, fase II=depuración y fase III=compilación, para escoger los artículos de 2,160 documentos encontrados entre las bases de datos de revistas de SCOPUS y SCISPACE.
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
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Selección de los años para esta investigación:
2023
(Taherdoost & Madanchian, 2023)
(Santillan Rojas et al., 2023)
(Khodabakhshian et al., 2023)
(Mahmood et al., 2023)
(Vial et al., 2023)
(Čančer et al., 2023)
(Behrooz et al., 2023)
(Esztergár-Kiss, 2023)
(Sarmento Dos Santos-Neto & Costa, 2023)
(Lung & Wang, 2023)
(Khatun et al., 2023)
(Duarte et al., 2023)
(Červený et al., 2022)
(Chang & Liang, 2023)
(Bokrantz et al., 2023)
(Tao et al., 2023)
(Tsaih et al., 2023)
2022
Wang, 2022)
(Vărzaru, 2022)
(Holzmann & Lechiara, 2022)
(Younis & ., 2022)
(Dobos & Csiszarik-Kocsir, 2022)
(Lishner & Shtub, 2022)
(Brennan & Kirby, 2022)
(Červený et al., 2022)
(Witte, 2022)
2021
(Engel et al., 2021)
(Herremans, 2021)
(Oliveira et al., 2021)
2020
(Akinosho et al., 2020)
(Belharet et al., 2020)
(Nawaz, 2020)
2019
(Fahimullah et al., 2019)
(Проскурін et al., 2019)