Occupational health and safety and data mining: a bibliometric analysis
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng por |
Título da fonte: | GEPROS. Gestão da Produção. Operações e Sistemas |
Texto Completo: | https://revista.feb.unesp.br/gepros/article/view/2784 |
Resumo: | Purpose - This article aims to carry out a bibliometric analysis on data mining and occupational health and safety, covering the period between 2008 and 2020, for seven scientific databases and 68 articles.Theoretical framework - This study was theoretically based on concepts that involve data mining, machine learning and occupational health and safety.Design/methodology/approach - The selected articles were submitted to a statistical analysis, together with the evaluation of one of the bibliometric laws (Bradford's Law), comprising a number of citations, journals, authors, countries of origin, publication categories and an evaluation of production over the years.Findings - As a result, it was found that the most influential journal was Safety Science, and Taiwan was the leading country in terms of articles produced, with an average of 115 citations per article. The best-ranked journals related to Engineering and Health, both corresponding to 30% of the selected articles and journals.Originality/value - This study provides some insights into the growth of the data mining area together with occupational health and safety.Keywords - Bibliometrics analysis. Occupational health and safety. Data mining. |
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GEPROS. Gestão da Produção. Operações e Sistemas |
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Occupational health and safety and data mining: a bibliometric analysisAnálise de bibliometriaSaúde e Segurança no TrabalhoMineração de dadosPurpose - This article aims to carry out a bibliometric analysis on data mining and occupational health and safety, covering the period between 2008 and 2020, for seven scientific databases and 68 articles.Theoretical framework - This study was theoretically based on concepts that involve data mining, machine learning and occupational health and safety.Design/methodology/approach - The selected articles were submitted to a statistical analysis, together with the evaluation of one of the bibliometric laws (Bradford's Law), comprising a number of citations, journals, authors, countries of origin, publication categories and an evaluation of production over the years.Findings - As a result, it was found that the most influential journal was Safety Science, and Taiwan was the leading country in terms of articles produced, with an average of 115 citations per article. The best-ranked journals related to Engineering and Health, both corresponding to 30% of the selected articles and journals.Originality/value - This study provides some insights into the growth of the data mining area together with occupational health and safety.Keywords - Bibliometrics analysis. Occupational health and safety. Data mining.A Fundacao para o Desenvolvimento de Bauru (FunDeB)2021-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://revista.feb.unesp.br/gepros/article/view/278410.15675/gepros.v16i2.2784Revista Gestão da Produção Operações e Sistemas; v. 16 n. 2 (2021); 1681984-2430reponame:GEPROS. Gestão da Produção. Operações e Sistemasinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengporhttps://revista.feb.unesp.br/gepros/article/view/2784/pdfhttps://revista.feb.unesp.br/gepros/article/view/2784/1895Copyright (c) 2021 Revista Gestão da Produção Operações e Sistemasinfo:eu-repo/semantics/openAccessRafael, CamilaPeternella, Mateus VicenteLavezo dos Reis, BeatrizLeal, Gislaine Camila LapasiniThom de Souza, Rodrigo ClementeGaldamez, Edwin Vladimir Cardoza2023-11-22T15:26:16Zoai:ojs.gepros.emnuvens.com.br:article/2784Revistahttps://revista.feb.unesp.br/geprosPUBhttps://revista.feb.unesp.br/gepros/oaigepros@feb.unesp.br||abjabbour@feb.unesp.br1984-24301809-614Xopendoar:2023-11-22T15:26:16GEPROS. Gestão da Produção. Operações e Sistemas - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Occupational health and safety and data mining: a bibliometric analysis |
title |
Occupational health and safety and data mining: a bibliometric analysis |
spellingShingle |
Occupational health and safety and data mining: a bibliometric analysis Rafael, Camila Análise de bibliometria Saúde e Segurança no Trabalho Mineração de dados |
title_short |
Occupational health and safety and data mining: a bibliometric analysis |
title_full |
Occupational health and safety and data mining: a bibliometric analysis |
title_fullStr |
Occupational health and safety and data mining: a bibliometric analysis |
title_full_unstemmed |
Occupational health and safety and data mining: a bibliometric analysis |
title_sort |
Occupational health and safety and data mining: a bibliometric analysis |
author |
Rafael, Camila |
author_facet |
Rafael, Camila Peternella, Mateus Vicente Lavezo dos Reis, Beatriz Leal, Gislaine Camila Lapasini Thom de Souza, Rodrigo Clemente Galdamez, Edwin Vladimir Cardoza |
author_role |
author |
author2 |
Peternella, Mateus Vicente Lavezo dos Reis, Beatriz Leal, Gislaine Camila Lapasini Thom de Souza, Rodrigo Clemente Galdamez, Edwin Vladimir Cardoza |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Rafael, Camila Peternella, Mateus Vicente Lavezo dos Reis, Beatriz Leal, Gislaine Camila Lapasini Thom de Souza, Rodrigo Clemente Galdamez, Edwin Vladimir Cardoza |
dc.subject.por.fl_str_mv |
Análise de bibliometria Saúde e Segurança no Trabalho Mineração de dados |
topic |
Análise de bibliometria Saúde e Segurança no Trabalho Mineração de dados |
description |
Purpose - This article aims to carry out a bibliometric analysis on data mining and occupational health and safety, covering the period between 2008 and 2020, for seven scientific databases and 68 articles.Theoretical framework - This study was theoretically based on concepts that involve data mining, machine learning and occupational health and safety.Design/methodology/approach - The selected articles were submitted to a statistical analysis, together with the evaluation of one of the bibliometric laws (Bradford's Law), comprising a number of citations, journals, authors, countries of origin, publication categories and an evaluation of production over the years.Findings - As a result, it was found that the most influential journal was Safety Science, and Taiwan was the leading country in terms of articles produced, with an average of 115 citations per article. The best-ranked journals related to Engineering and Health, both corresponding to 30% of the selected articles and journals.Originality/value - This study provides some insights into the growth of the data mining area together with occupational health and safety.Keywords - Bibliometrics analysis. Occupational health and safety. Data mining. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revista.feb.unesp.br/gepros/article/view/2784 10.15675/gepros.v16i2.2784 |
url |
https://revista.feb.unesp.br/gepros/article/view/2784 |
identifier_str_mv |
10.15675/gepros.v16i2.2784 |
dc.language.iso.fl_str_mv |
eng por |
language |
eng por |
dc.relation.none.fl_str_mv |
https://revista.feb.unesp.br/gepros/article/view/2784/pdf https://revista.feb.unesp.br/gepros/article/view/2784/1895 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Revista Gestão da Produção Operações e Sistemas info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Revista Gestão da Produção Operações e Sistemas |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
A Fundacao para o Desenvolvimento de Bauru (FunDeB) |
publisher.none.fl_str_mv |
A Fundacao para o Desenvolvimento de Bauru (FunDeB) |
dc.source.none.fl_str_mv |
Revista Gestão da Produção Operações e Sistemas; v. 16 n. 2 (2021); 168 1984-2430 reponame:GEPROS. Gestão da Produção. Operações e Sistemas instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
GEPROS. Gestão da Produção. Operações e Sistemas |
collection |
GEPROS. Gestão da Produção. Operações e Sistemas |
repository.name.fl_str_mv |
GEPROS. Gestão da Produção. Operações e Sistemas - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
gepros@feb.unesp.br||abjabbour@feb.unesp.br |
_version_ |
1800215698096521216 |