Exploring the Impact of AI on Candidate Selection: A Two-Phase Methodological Approach with CRITIC-WASPAS

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dc.contributor.authorContreras Pinochet L.H.
dc.contributor.authorLopes N.S.
dc.contributor.authorOnusic L.M.
dc.contributor.authordos Santos M.
dc.contributor.authorPardim V.I.
dc.contributor.authorNeto Francischini A.S.
dc.date.accessioned2024-10-01T06:12:16Z
dc.date.available2024-10-01T06:12:16Z
dc.date.issued2024
dc.description.abstract© 2024 The Authors.This study investigates how AI technologies can improve the candidate selection process. It will also use the WASPAS method to analyze the criteria used during the selection stages, aiming to optimize the effectiveness of the process. The article employed a two-phase methodological approach to enhance candidate selection analysis. The CRITIC Method assigned weights to criteria, while the WASPAS Method ranked alternatives based on these weights. A sensitivity analysis, specifically for the WASPAS method, further assessed its robustness and consistency, providing a comprehensive view of the decision-making process. Twelve experienced professionals from various sectors, all decision-makers, participated in the research. As a result of the CRITIC method C5 (31.45%) ‘Data Confidentiality' is the most important criteria, followed by C1 (25.92%) ‘Justice'. Furthermore, in the selection process using AI with the WASPAS method, statements A14 and A15 stand out in the final stage, automating the identification of the most suitable candidates for the position and carefully evaluating them. Meanwhile, A9, in the cognitive and behavioral testing stage, is crucial for identifying promising candidates based on objective results, ensuring an accurate fit between candidate and position and increasing the efficiency of the selection process.
dc.description.firstpage920
dc.description.lastpage927
dc.description.volume242
dc.identifier.doi10.1016/j.procs.2024.08.274
dc.identifier.issnNone
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/39490
dc.relation.ispartofProcedia Computer Science
dc.rightsAcesso Aberto
dc.subject.otherlanguageArtificial Intelligence
dc.subject.otherlanguageCRITIC Method
dc.subject.otherlanguageDecision-making Process
dc.subject.otherlanguageOptimization
dc.subject.otherlanguageWASPAS Method
dc.titleExploring the Impact of AI on Candidate Selection: A Two-Phase Methodological Approach with CRITIC-WASPAS
dc.typeArtigo de evento
local.scopus.citations0
local.scopus.eid2-s2.0-85203381746
local.scopus.subjectAI Technologies
local.scopus.subjectCandidate selection
local.scopus.subjectCRITIC method
local.scopus.subjectDecision-making process
local.scopus.subjectMethodological approach
local.scopus.subjectOptimisations
local.scopus.subjectSelection stages
local.scopus.subjectSensitivity analyzes
local.scopus.subjectTwo phase
local.scopus.subjectWASPAS method
local.scopus.updated2024-12-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85203381746&origin=inward
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