Reclutamiento 4.0: Transformación digital en la adquisición de talento

Abstract

Currently, traditional recruitment processes are being strengthened by new technological trends such as artificial intelligence and data analysis. From this perspective, the study analyzes the emerging technologies in the digital transformation that are reshaping business recruitment towards the 4.0 model, identifying benefits, challenges, and best practices in talent acquisition. Using a qualitative approach with a descriptive scope and a bibliographic design, the study uses the systematic analysis technique with the PRISMA method to search for information in scientific databases. Initially, 230 articles were identified, of which, after applying the inclusion and exclusion criteria, 20 articles were selected for detailed analysis, reviewing previous studies that have explored the intersection between technology and human resource management. Theoretical implications identify these digital tools as successful in providing practical insights into outcomes and learnings, fundamentally reshaping people management practices to offer greater efficiency and accuracy in recruiting, as well as in the candidate experience. The adoption of Recruiting 4.0 not only optimizes talent acquisition processes but also enables organizations to remain competitive in an ever-changing labor market. Keywords: digital recruitment, artificial intelligence, recruitment, digital transformation, human resources.