Recruitment and Selection Process Using Artificial Intelligence: How Do Candidates React?

Author:

Ligeiro Nuno1,Dias Ivo1,Moreira Ana123ORCID

Affiliation:

1. Faculdade de Ciências e Tecnologia, Universidade Europeia, Quinta do Bom Nome, Estr. da Correia 53, 1500-210 Lisbon, Portugal

2. School of Psychology, ISPA—Instituto Universitário, Rua do Jardim do Tabaco 34, 1149-041 Lisboa, Portugal

3. APPsyCI—Applied Psychology Research Center Capabilities & Inclusion, ISPA—Instituto Universitário, R. do Jardim do Tabaco 34, 1149-041 Lisbon, Portugal

Abstract

This study aimed to study the association between organizational attractiveness, intrinsic motivation, perceived novelty, trust in the process, and the intention to apply, engage, and finish an artificial intelligence recruitment and selection process. It was also tested whether having already had the experience of having been involved in a recruitment and selection process using artificial intelligence moderated these relationships. The sample for this study consisted of 299 participants. The results indicate that organizational attractiveness and perceived novelty are positively and significantly associated with applying to, getting involved in, and completing the recruitment and selection process using artificial intelligence for participants aged between 45 and 54. For participants aged between 35 and 44, trust in the process significantly affects their intention to apply to, get involved in, and complete the recruitment and selection process using artificial intelligence. Intrinsic motivation did not prove to be a significant predictor of the intention to apply to, get involved in, and complete the recruitment and selection process using artificial intelligence.

Publisher

MDPI AG

Reference64 articles.

1. Al-Alawi, Adel Ismail, Naureen, Misbah, Alalawi, Ebtesam Ismaeel, and Al-Hadad, Ahmed Addulla Naser (, January December). The Role of Artificial Intelligence in Recruitment Process Decision-Making. Paper presented at the 2021 International Conference on Decision Aid Sciences and Application, DASA 2021, Sakheer, Bahrain.

2. Arbuckle, James L. (2008). AMOS 17 User’s Guide, SPSS Inc.

3. Tecnologia Aplicada ao Recrutamento e Seleção: Mudanças Divulgadas e Resultados Percebidos no Uso de Soluções Oferecidas por HR TECHS Brasileiras;Avelar;Gestão & Sociedade,2021

4. AI-enabled recruiting: What is it and how should a manager use it?;Black;Business Horizons,2019

5. AI-enabled recruiting in the war for talent;Black;Business Horizons,2021

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