Trends in Knowledge Management in the Artificial Intelligence Age: A Bibliometric Analysis

García-Pineda V.; Valencia-Arias J.; Garcés-Giraldo L.F.; Vega-Mori L.; de la Puente R.T.; Patiño-Toro O.N.; Benjumea-Arias M. · RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao (2024)

Resumen

At the convergence of artificial intelligence (AI) and knowledge management, this bibliometric study, based on PRISMA-2020, seeks to examine research trends in knowledge management in the AI era. It highlights the importance of this synergy in process optimization and identifies key years such as 2018, 2020 and 2022, signaling growing attention. Researchers such as Holzinger and Jurisica emerge as referents. The thematic evolution, from philosophy of technology to machine learning, reflects the adaptation to emerging trends. Keywords such as “knowledge discovery,” “deep learning,” and “artificial intelligence” highlight dynamic areas of interest. It concludes that this analysis will inform future research and strategic decisions in knowledge management in the age of artificial intelligence.

Instituciones: Universidad Ricardo Palma