A PERCEÇÃO DOS BABY-BOOMERS, DA GERAÇÃO X E DOS MILLENNIALS À UTILIZAÇÃO DA INTELIGÊNCIA ARTIFICIAL NOS PROCESSOS DE RECRUTAMENTO E SELEÇÃO

Authors

  • Tatiana Gonçalves Instituto Politécnico de Coimbra Author
  • Ana Pinto Instituto Politécnico de Castelo Branco Author
  • Sara Nunes Instituto Politécnico de Castelo Branco Author https://orcid.org/0000-0003-2944-306X

DOI:

https://doi.org/10.5368/63p67f64

Keywords:

Artificial Intelligence, Recruitment and Selection, Generations

Abstract

The recruitment and selection process as a human resource management practice plays an eminent role in organizations, as a method of attracting and retaining talent. As such, the importance of approaching this area in a more detailed and innovative way arose, which is why, this research studies the perception of different generations, more specifically Baby Boomers, Generation X and Millennials in relation to the use of artificial intelligence recruitment and selection processes. The study aims to identify disparate relationships between different generations in relation to the use of artificial intelligence in the recruitment and selection processes. In order to achieve the aforementioned objective, a quantitative study was carried out and a questionnaire was developed and subsequently applied to a sample of 163 participants. Based on the evidence obtained through the statistical analysis of the data, it was concluded that there is a discrepancy between the perceptions of different generations in relation to the use of artificial intelligence in the recruitment and selection processes. As expected, Millennials show greater agreement with the use of artificial intelligence. However, we can point out as limitations, the sample size, which is related to the low response rate and the high imbalance between age groups / generations. The present investigation recognize a relevance, since exist scarce literature that establish a link between different generations and the use of artificial intelligence in recruitment and selection processes. It is believed that it can be a strating point for future investigations involving the same variables.

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Published

2021-06-30