The key competencies for the future of work - A bibliometric study
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/30863 |
Resumo: | The constant technological transformations that have emerged over the last few decades have forced a fast adjustment caused both by the digitalization and automation processes that have revolutionized the job market. Even though the fourth industrial revolution allows the emergence of numerous job opportunities, it brings different restrictions that directly affect the daily lives of professionals and organizations. On the other hand, this implementation requires not only a large financial investment but also, and perhaps the most critical obstacle in this process, the training of human resources to be able to assimilate the complexity of these digital transformations. Thus, the main objective of this research is to try to understand which skills will be most required by the labor market in the future. To achieve this primary objective, a bibliometric study was carried out, based on the World Economic Forum report and two main databases: Web of Science and Scopus |
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The key competencies for the future of work - A bibliometric studyIndustry 4.0TechnologyTechnological transformationSkillsArtificial intelligenceThe constant technological transformations that have emerged over the last few decades have forced a fast adjustment caused both by the digitalization and automation processes that have revolutionized the job market. Even though the fourth industrial revolution allows the emergence of numerous job opportunities, it brings different restrictions that directly affect the daily lives of professionals and organizations. On the other hand, this implementation requires not only a large financial investment but also, and perhaps the most critical obstacle in this process, the training of human resources to be able to assimilate the complexity of these digital transformations. Thus, the main objective of this research is to try to understand which skills will be most required by the labor market in the future. To achieve this primary objective, a bibliometric study was carried out, based on the World Economic Forum report and two main databases: Web of Science and ScopusWorld Scientific Publishing House2024-02-06T09:41:13Z2023-01-01T00:00:00Z20232024-02-06T09:40:49Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/30863eng2040-800510.47297/wspchrmWSP2040-800501.20231401Conceição, L. C.Pereira, L.Dias, Á.info: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:RCAAP2024-02-11T01:17:56Zoai:repositorio.iscte-iul.pt:10071/30863Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:37:30.258266Repositório 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 |
The key competencies for the future of work - A bibliometric study |
title |
The key competencies for the future of work - A bibliometric study |
spellingShingle |
The key competencies for the future of work - A bibliometric study Conceição, L. C. Industry 4.0 Technology Technological transformation Skills Artificial intelligence |
title_short |
The key competencies for the future of work - A bibliometric study |
title_full |
The key competencies for the future of work - A bibliometric study |
title_fullStr |
The key competencies for the future of work - A bibliometric study |
title_full_unstemmed |
The key competencies for the future of work - A bibliometric study |
title_sort |
The key competencies for the future of work - A bibliometric study |
author |
Conceição, L. C. |
author_facet |
Conceição, L. C. Pereira, L. Dias, Á. |
author_role |
author |
author2 |
Pereira, L. Dias, Á. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Conceição, L. C. Pereira, L. Dias, Á. |
dc.subject.por.fl_str_mv |
Industry 4.0 Technology Technological transformation Skills Artificial intelligence |
topic |
Industry 4.0 Technology Technological transformation Skills Artificial intelligence |
description |
The constant technological transformations that have emerged over the last few decades have forced a fast adjustment caused both by the digitalization and automation processes that have revolutionized the job market. Even though the fourth industrial revolution allows the emergence of numerous job opportunities, it brings different restrictions that directly affect the daily lives of professionals and organizations. On the other hand, this implementation requires not only a large financial investment but also, and perhaps the most critical obstacle in this process, the training of human resources to be able to assimilate the complexity of these digital transformations. Thus, the main objective of this research is to try to understand which skills will be most required by the labor market in the future. To achieve this primary objective, a bibliometric study was carried out, based on the World Economic Forum report and two main databases: Web of Science and Scopus |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-01-01T00:00:00Z 2023 2024-02-06T09:41:13Z 2024-02-06T09:40:49Z |
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/10071/30863 |
url |
http://hdl.handle.net/10071/30863 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2040-8005 10.47297/wspchrmWSP2040-800501.20231401 |
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.publisher.none.fl_str_mv |
World Scientific Publishing House |
publisher.none.fl_str_mv |
World Scientific Publishing House |
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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1799137426145280000 |