Repository logo
 
Publication

Recruitment and selection process using artificial intelligence: How do candidates react?

2024Journal article Restricted access
Simple item page
dc.contributor.authorSoares Ligeiro, Nuno Filipe
dc.contributor.authorDias, Ivo
dc.contributor.authorMoreira, Ana
dc.date.accessioned2024-09-12T15:31:57Z
dc.date.available2024-09-12T15:31:57Z
dc.date.issued2024
dc.description.abstractAbstract: 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGonçalves Brantes, A. L., Curado, M. A. S., Gaspar, M. F., Figueiredo, I. C., & Marôco, J. (2024). Instruments and indicators for the assessment of oral skills in preterm newborns to begin oral feeding: A scoping review. Journal of Neonatal Nursing. https://doi.org/10.1016/j.jnn.2024.07.027pt_PT
dc.identifier.doi10.3390/admsci14070155pt_PT
dc.identifier.issn1573286X
dc.identifier.urihttp://hdl.handle.net/10400.12/9932
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPI Multidisciplinary Digital Publishing Institutept_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectArtificial intelligencept_PT
dc.subjectHuman resourcespt_PT
dc.subjectJob application processpt_PT
dc.subjectRecruitment and selectionpt_PT
dc.subjectQuantitative studypt_PT
dc.titleRecruitment and selection process using artificial intelligence: How do candidates react?pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceUnited Statespt_PT
oaire.citation.issue7pt_PT
oaire.citation.startPage155pt_PT
oaire.citation.titleAdministrative Sciencespt_PT
oaire.citation.volume14pt_PT
person.familyNameSoares Ligeiro
person.familyNameAntunes Dias
person.familyNameMoreira
person.givenNameNuno Filipe
person.givenNameIvo
person.givenNameAna
person.identifier1611261
person.identifier.ciencia-idF01B-B6BC-A365
person.identifier.ciencia-idE61C-D6B7-1217
person.identifier.orcid0000-0002-5023-5436
person.identifier.orcid0000-0001-6387-0722
person.identifier.orcid0000-0002-4799-874X
person.identifier.scopus-author-id57224107907
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationc4b2279d-e39b-4e8b-8b14-ec961ad4613a
relation.isAuthorOfPublication22f1e02d-1440-4a22-8cf0-a0b1324b42f2
relation.isAuthorOfPublicationf51e9fc7-2cd4-41bc-810c-b5ac17842e4d
relation.isAuthorOfPublication.latestForDiscoveryf51e9fc7-2cd4-41bc-810c-b5ac17842e4d

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
admsci-14-00155.pdf
Size:
1.9 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.61 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

APPsyCI - Artigos em revistas científicas internacionais