Artificial Intelligence-powered Human Resource Management: A systematic literature review between 2023-2024

Autores/as

  • Romina Yamilet Vasquez Salvador Universidad Tecnologica de
  • Leticia Pamela Vera Chavez Universidad Tecnologica de
  • Julio Winston Torres Velasquez Universidad Tecnologica de

DOI:

https://doi.org/10.18687/LEIRD2025.1.1.208

Palabras clave:

Inteligencia Artificial, recursos humanos, reclutamiento, productividad, innovación, ética tecnológica

Resumen

The findings reveal that the integration of artificial intelligence (AI) applied to human resource management (HRM) has optimized labor dynamics, increasing both the efficiency and accuracy of processes. In the area of personnel recruitment and selection, AI-based tools have been identified that optimize the search for candidates through data analysis algorithms, reducing time and operating costs. Likewise, with respect to performance evaluation, intelligent systems were identified that allowed a more objective analysis in real time, promoting more informed decision making. However, this poses important challenges, including ensuring the ethics and transparency of the use of algorithms to avoid bias, as well as the proper training of personnel in the use of these technologies. It was found that technologies that adopt AI in HRM have reported an increase in organizational productivity and an improvement in employee satisfaction. In conclusion, AI is presented as a key ally to transform HRM, enhancing its impact on recruitment and selection of personnel in a successful way, which improves employee satisfaction thanks to the correct process of this area, and also achieves greater retention of talent within industries thanks to the implementation of AI.

Descargas

Publicado

2025-12-09

Número

Sección

Articles

Cómo citar

Vasquez Salvador, R. Y., Vera Chavez, L. P., & Torres Velasquez, J. W. (2025). Artificial Intelligence-powered Human Resource Management: A systematic literature review between 2023-2024. LACCEI, 2(13). https://doi.org/10.18687/LEIRD2025.1.1.208

Artículos más leídos del mismo autor/a