A model to improve the Evaluation and Selection of Public Contest´s Candidates (Police Officers) based on AI technologies

Detalhes bibliográficos
Autor(a) principal: Gonçalves, Mariana Bailão
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/145530
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
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spelling A model to improve the Evaluation and Selection of Public Contest´s Candidates (Police Officers) based on AI technologiesArtificial IntelligenceSentiment AnalysisFacial RecognitionPolice ForcesTransparencyDesign Science Research (DSR)Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business AnalyticsThe number of candidates applying to Public Contests is increasing compared to the number of Human Resources employees required for selecting them for Police Forces. This work intends to perceive how those Public Institutions can evaluate and select their candidates efficiently during the different phases of the recruitment process, and for achieving this purpose AI approaches will be studied. This paper presents two research questions and introduces a corresponding systematic literature review, focusing on AI technologies, so the reader is able to understand which are most used and more appropriate to be applied to Police Forces as a complementary recruitment strategy of the National Criminal Investigation Police agency of Portugal – Polícia Judiciária. Design Science Research (DSR) was the methodological approach chosen. The suggestion of a theoretical framework is the main contribution of this study in pair with the segmentation of the candidates (future Criminal Inspectors). It also helped to comprehend the most important facts facing Public Institutions regarding the usage of AI technologies, to make decisions about evaluating and selecting candidates. Following the PRISMA methodology guidelines, a systematic literature review and meta-analyses method was adopted to identify how can the usage and exploitation of transparent AI have a positive impact on the recruitment process of a Public Institution, resulting in an analysis of 34 papers published between 2017 and 2021. The AI-based theoretical framework, applicable within the analysis of literature papers, solves the problem of how the Institutions can gain insights about their candidates while profiling them; how to obtain more accurate information from the interview phase; and how to reach a more rigorous assessment of their emotional intelligence providing a better alignment of moral values. This way, this work aims to advise the improvement of the decision making to be taken by a recruiter of a Police Force Institution, turning it into a more automated and evidence-based decision when it comes to recruiting the adequate candidate for the place.Santos, Vitor Manuel Pereira Duarte dosAnastasiadou, MariaRUNGonçalves, Mariana Bailão2022-11-15T16:12:32Z2022-10-252022-10-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/145530TID:203097858enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:26:02Zoai:run.unl.pt:10362/145530Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:52:08.103814Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A model to improve the Evaluation and Selection of Public Contest´s Candidates (Police Officers) based on AI technologies
title A model to improve the Evaluation and Selection of Public Contest´s Candidates (Police Officers) based on AI technologies
spellingShingle A model to improve the Evaluation and Selection of Public Contest´s Candidates (Police Officers) based on AI technologies
Gonçalves, Mariana Bailão
Artificial Intelligence
Sentiment Analysis
Facial Recognition
Police Forces
Transparency
Design Science Research (DSR)
title_short A model to improve the Evaluation and Selection of Public Contest´s Candidates (Police Officers) based on AI technologies
title_full A model to improve the Evaluation and Selection of Public Contest´s Candidates (Police Officers) based on AI technologies
title_fullStr A model to improve the Evaluation and Selection of Public Contest´s Candidates (Police Officers) based on AI technologies
title_full_unstemmed A model to improve the Evaluation and Selection of Public Contest´s Candidates (Police Officers) based on AI technologies
title_sort A model to improve the Evaluation and Selection of Public Contest´s Candidates (Police Officers) based on AI technologies
author Gonçalves, Mariana Bailão
author_facet Gonçalves, Mariana Bailão
author_role author
dc.contributor.none.fl_str_mv Santos, Vitor Manuel Pereira Duarte dos
Anastasiadou, Maria
RUN
dc.contributor.author.fl_str_mv Gonçalves, Mariana Bailão
dc.subject.por.fl_str_mv Artificial Intelligence
Sentiment Analysis
Facial Recognition
Police Forces
Transparency
Design Science Research (DSR)
topic Artificial Intelligence
Sentiment Analysis
Facial Recognition
Police Forces
Transparency
Design Science Research (DSR)
description Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
publishDate 2022
dc.date.none.fl_str_mv 2022-11-15T16:12:32Z
2022-10-25
2022-10-25T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/145530
TID:203097858
url http://hdl.handle.net/10362/145530
identifier_str_mv TID:203097858
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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