IMPACT OF ARTIFICIAL INTELLIGENCE ON HUMAN TALENT MANAGEMENT AND ORGANIZATIONAL SUSTAINABILITY: A SYSTEMATIC LITERATURE REVIEW (#730)

Authors

Robles Fabián, Daniel Amadeo

Espinoza Paucar, Oscar Nestor

Calderon Pizango, Milton Ricardo

Villamizar Morales, Patrick Michael

Silvera Arcos, Susan Madeleine

Pedroza San Miguel, Rosa Diana

Balvin Azaña, Román Junior

Abstract

The objective of this systematic literature review was to examine how artificial intelligence (AI) impacts human talent management and its effect on organizational sustainability. The methodology employed was a systematic literature review, with the PRISMA method used for selecting and filtering studies. This allowed the analyzed studies to demonstrate that artificial intelligence contributes to optimizing human resource processes through the use of data analytics, automation, and decision support, leading to improvements in organizational performance and effectiveness. Furthermore, the review indicates that its proper application has the potential to strengthen sustainability in its economic, social, and environmental aspects. However, challenges related to ethical, cultural, and technical issues continue to restrict its effective implementation. This necessitates a more comprehensive and responsible approach.