Array
(
    [0] => stdClass Object
        (
            [journal] => stdClass Object
                (
                    [id_jnl] => 87
                )

        )

    [1] => stdClass Object
        (
            [section] => stdClass Object
                (
                    [section] => 281
                )

        )

    [2] => stdClass Object
        (
            [title] => Array
                (
                    [0] => Thematic mapping of artificial intelligence in management: A bibliometric approach using co-word analysis (2015–2024)@en
                    [1] => Mapeo temático de la inteligencia artificial en la administración: un enfoque bibliométrico usando análisis de co-palabras (2015–2024)@es
                )

        )

    [3] => stdClass Object
        (
            [abstract] => Array
                (
                    [0] => Objective. The objective of this study was twofold: first, to map the main themes in the literature on artificial intelligence in management, and second, to explore the relationships between these themes.


Design/Methodology/Approach. A co-word analysis was performed on 15,835 articles indexed in Scopus (2015–2024), with the author’s keywords in the field of administration constituting the unit of analysis. The semantic network under consideration was constructed using the 50 most frequent terms, applying normalization by association and the Walktrap algorithm for cluster detection.


Results/Discussion. The results of the analysis indicated that the extant literature was organized around three thematic groups. The first of these focused on conversational interfaces, the second on digital transformation, and the third adopted a computational approach. The thematic structure identified reflected a field in the process of consolidation, with a predominance of technical approaches and limited functional specialization.


Conclusion. Contemporary research endeavors prioritized methodological development over strategic implementation in particular organizational contexts. These findings underscored the necessity for more comprehensive approaches that articulated technology, management, and governance. Moreover, they called for a future agenda that was oriented toward its adoption from sociotechnical perspectives.@en
                    [1] => Objetivo. El objetivo de este estudio fue, por un lado, mapear las principales temáticas de la literatura sobre inteligencia artificial en administración y, por otro lado, explorar las relaciones entre dichos temas.


Diseño/Metodología/Enfoque. Se realizó un análisis de co-palabras sobre 15 835 artículos indexados en Scopus (2015–2024), empleando como unidad de análisis las palabras clave del autor en el área de administración. La red semántica se construyó con los 50 términos más frecuentes, aplicando normalización por asociación y el algoritmo Walktrap para la detección de clústeres.


Resultados/Discusión. Los resultados revelan que la literatura se organiza en torno a tres grupos temáticos. El primero se centra en interfaces conversacionales, el segundo en transformación digital y el tercero adopta un enfoque computacional. La estructura temática identificada refleja un campo en proceso de consolidación, con predominio de enfoques técnicos y una especialización funcional limitada.


Conclusiones. La investigación actual se centra más en el desarrollo metodológico que en su aplicación estratégica en contextos organizativos específicos. Estos hallazgos ponen de manifiesto la necesidad de enfoques más integrales que articulen tecnología, gestión y gobernanza, así como de una agenda futura centrada en su adopción desde perspectivas sociotécnicas.@es
                )

        )

    [4] => stdClass Object
        (
            [author] => Array
                (
                    [0] => Jorge Arturo Salgado-García
                    [1] => Antonia Terán-Bustamante
                    [2] => Marisol Velázquez-Salazar
                )

        )

    [5] => stdClass Object
        (
            [subject] => Array
                (
                    [0] => Bibliometrics@en
                    [1] => Co-word analysis@en
                    [2] => Artificial intelligence@en
                    [3] => Management sciences@en
                    [4] => Business@en
                    [5] => Accounting@en
                    [6] => Bibliometría@es
                    [7] => Análisis de co-palabras@es
                    [8] => Inteligencia artificial@es
                    [9] => Ciencias de la administración@es
                    [10] => Negocios@es
                    [11] => Contabilidad@es
                )

        )

    [6] => stdClass Object
        (
            [source] => stdClass Object
                (
                    [vol] => 5
                    [nr] => 
                    [year] => 2025
                    [theme] => 
                )

        )

    [7] => stdClass Object
        (
            [datePub] => Array
                (
                    [0] => 2025-07-10
                )

        )

    [8] => stdClass Object
        (
            [DOI] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => DOI
                            [value] => Array
                                (
                                    [0] => 10.47909/ijsmc.205
                                )

                        )

                )

        )

    [9] => stdClass Object
        (
            [http] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://ijsmc.pro-metrics.org/index.php/i/article/view/205
                                )

                        )

                    [1] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://ijsmc.pro-metrics.org/index.php/i/article/view/205/164
                                )

                        )

                    [2] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://ijsmc.pro-metrics.org/index.php/i/article/view/205/165
                                )

                        )

                )

        )

    [10] => stdClass Object
        (
            [language] => Array
                (
                    [0] => en
                    [1] => es
                )

        )

    [11] => stdClass Object
        (
            [license] => Array
                (
                    [0] => Copr
                    [1] => by-nc/4.0
                )

        )

)