AI and public contests

Detalhes bibliográficos
Autor(a) principal: Goncalves, Mariana Bailao
Data de Publicação: 2022
Outros Autores: Anastasiadou, Maria, Santos, Vitor
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/144373
Resumo: Goncalves, M. B., Anastasiadou, M., & Santos, V. (2022). AI and public contests: a model to improve the evaluation and selection of public contest candidates in the Police Force. Transforming Government: People, Process and Policy, 16(4), 22. https://doi.org/10.1108/TG-05-2022-0078 ----Funding: This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project – UIDB/04152/2020 – Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.
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spelling AI and public contestsa model to improve the evaluation and selection of public contest candidates in the Police ForceArtificial intelligenceSentiment analysisFacial recognitionPolice forceTransparencyDesign science researchPublic AdministrationComputer Science ApplicationsInformation Systems and ManagementSDG 16 - Peace, Justice and Strong InstitutionsGoncalves, M. B., Anastasiadou, M., & Santos, V. (2022). AI and public contests: a model to improve the evaluation and selection of public contest candidates in the Police Force. Transforming Government: People, Process and Policy, 16(4), 22. https://doi.org/10.1108/TG-05-2022-0078 ----Funding: This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project – UIDB/04152/2020 – Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.Abstract Purpose The number of candidates applying to public contests (PC) is increasing compared to the number of human resources employees required for selecting them for the Police Force (PF). This work intends to perceive how those public institutions can evaluate and select their candidates efficiently during the different phases of the recruitment process. To achieve this purpose, artificial intelligence (AI) was studied. This paper aims to focus on analysing the AI technologies most used and appropriate to the PF as a complementary recruitment strategy of the National Criminal Investigation police agency of Portugal – Polícia Judiciária. Design/methodology/approach Using design science research as a methodological approach, the authors suggest a theoretical framework in pair with the segmentation of the candidates and comprehend the most important facts facing public institutions regarding the usage of AI technologies to make decisions about evaluating and selecting candidates. Following the preferred reporting items for systematic reviews and meta-analyses methodology guidelines, a systematic literature review and meta-analyses method was adopted to identify how the usage and exploitation of transparent AI positively impact the recruitment process of a public institution, resulting in an analysis of 34 papers between 2017 and 2021. Findings Results suggest that the conceptual pairing of evaluation and selection problems of candidates who apply to PC with applicable AI technology such as K-means, hierarchical clustering, artificial neural network and convolutional neural network algorithms can support the recruitment process and could help reduce the workload in the entire process while maintaining the standard of responsibility. The combination of AI and human decision-making is a fair, objective and unbiased process emphasising a decision-making process free of nepotism and favouritism when carefully developed. Innovative and modern as a category, group the statements that emphasise the innovative and contemporary nature of the process. Research limitations/implications There are two main limitations in this study that should be considered. Firstly, the difficulty regarding the timetable, privacy and legal issues associated with public institutions. Secondly, a small group of experts served as the validation group for the new framework. Individual semi-structured interviews were conducted to alleviate this constraint. They provide additional insights into an interviewee’s opinions and beliefs. Social implications Ensure that the system is fair, transparent and facilitates their application process. Originality/value The main contribution is the AI-based theoretical framework, applicable within the analysis of literature papers, focusing on 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 work aims to improve the decision-making process of a PF institution recruiter by turning it into a more automated and evidence-based decision when recruiting an adequate candidate for the job vacancy.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNGoncalves, Mariana BailaoAnastasiadou, MariaSantos, Vitor2022-09-28T22:49:18Z2022-10-182022-10-18T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article627application/pdfhttp://hdl.handle.net/10362/144373eng1750-6166PURE: 46765320https://doi.org/10.1108/TG-05-2022-0078info: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:RCAAP2024-03-11T05:23:59Zoai:run.unl.pt:10362/144373Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:51:31.425881Repositório 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 AI and public contests
a model to improve the evaluation and selection of public contest candidates in the Police Force
title AI and public contests
spellingShingle AI and public contests
Goncalves, Mariana Bailao
Artificial intelligence
Sentiment analysis
Facial recognition
Police force
Transparency
Design science research
Public Administration
Computer Science Applications
Information Systems and Management
SDG 16 - Peace, Justice and Strong Institutions
title_short AI and public contests
title_full AI and public contests
title_fullStr AI and public contests
title_full_unstemmed AI and public contests
title_sort AI and public contests
author Goncalves, Mariana Bailao
author_facet Goncalves, Mariana Bailao
Anastasiadou, Maria
Santos, Vitor
author_role author
author2 Anastasiadou, Maria
Santos, Vitor
author2_role author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Goncalves, Mariana Bailao
Anastasiadou, Maria
Santos, Vitor
dc.subject.por.fl_str_mv Artificial intelligence
Sentiment analysis
Facial recognition
Police force
Transparency
Design science research
Public Administration
Computer Science Applications
Information Systems and Management
SDG 16 - Peace, Justice and Strong Institutions
topic Artificial intelligence
Sentiment analysis
Facial recognition
Police force
Transparency
Design science research
Public Administration
Computer Science Applications
Information Systems and Management
SDG 16 - Peace, Justice and Strong Institutions
description Goncalves, M. B., Anastasiadou, M., & Santos, V. (2022). AI and public contests: a model to improve the evaluation and selection of public contest candidates in the Police Force. Transforming Government: People, Process and Policy, 16(4), 22. https://doi.org/10.1108/TG-05-2022-0078 ----Funding: This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project – UIDB/04152/2020 – Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-28T22:49:18Z
2022-10-18
2022-10-18T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/144373
url http://hdl.handle.net/10362/144373
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1750-6166
PURE: 46765320
https://doi.org/10.1108/TG-05-2022-0078
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 627
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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