Mapeo de las revistas de inteligencia artificial y el estrés laboral: Un análisis bibliométrico y de redes de citas
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Esta investigación permite el desarrollo de un mapeo de revistas enfocadas en inteligencia artificial y el estrés laboral en donde se realiza un análisis bibliométrico de las variables de estudio, tiene como objetivo identificar la información más relevante en lo que a producción científica a nivel mundial se refiere, tomando en consideración aspectos relevantes como las co citaciones, manejo de clúster y países con mayor cantidad de producción en este ámbito se ha escrito; la cantidad de literatura retrospectiva en este campo es bastante representativa a lo largo de este tiempo, para esta investigación se seleccionaron indicadores bastante relevantes para no dificultar la visión que se quiere obtener en lo que respecta a los resultados, por lo tanto la metodología utilizada es la técnica del mapeo y agrupación de indicadores que ayudan a la visualización de información y por consiguiente la estructura de la literatura, los resultados de este estudio es la agrupación y exploración sistemática de la investigación y de esta forma brindar un esquema taxonómico que sirva como una base a las futuras investigaciones, los datos analizados que se extrajeron de la base de datos Scopus y la plataforma lens.org un total de 745 contribuciones fueron identificadas como potenciales para de esta forma reforzar la comprensión de la taxonomía estructurada que beneficiará a la comunidad científica.
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