Exploring AI Applications in Occupational Safety: A Bibliometric Perspective on Accident Prevention

Alexandre Silva; Frederico Dutra; Fábio Corrêa; Vinícius Faria

doi:doi:10.11648/j.ijsmit.20241002.11

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Exploring AI Applications in Occupational Safety: A Bibliometric Perspective on Accident Prevention

Alexandre Silva^*, Frederico Dutra, Fábio Corrêa, Vinícius Faria

Published in International Journal of Sustainability Management and Information Technologies (Volume 10, Issue 2)

Received: 29 April 2024 Accepted: 22 May 2024 Published: 31 July 2024

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Abstract

Occupational accidents that happen in the world of work have attracted, over time, the concern of how to implement preventive measures to avoid them. The International Labour Organization (ILO) estimates that 2 million people die worldwide each year from work-related causes. In Brazil, in the year 2022, there were 1,828 accidents involving electricity resulting in 592 deaths. A solution to improve this process is the use of available technology, especially with the modernization brought about by the so-called 4th Industrial Revolution, or Industry 4.0, This article aims to present a bibliometric research, identifying the main publications, authors, universities, countries and keywords that address the applications of artificial intelligence in work safety, with a focus on accident prevention. Data were collected from the Web of Science database, using the keywords (“artificial intelligence”) AND (workplace OR “occupation health and safety” OR “accident prevention”). Data interpretation was carried out through performance analysis, based on WoS reports; and scientific mapping, using the VOSviewer software. 272 articles were found that were analyzed and composed the research. It was evident that the subject of artificial intelligence applied to work safety is still little explored, however, from 2020 onwards, there was a significant increase in scientific publications. As proposal for future studies, suggests conducting research using alternative keywords, as well as searching various databases to try to find new articles that address the topic.

Published in	International Journal of Sustainability Management and Information Technologies (Volume 10, Issue 2)
DOI	10.11648/j.ijsmit.20241002.11
Page(s)	19-29
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Artificial Intelligence, Work Safety, Prevention

References

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APA Style

Silva, A., Dutra, F., Corrêa, F., Faria, V. (2024). Exploring AI Applications in Occupational Safety: A Bibliometric Perspective on Accident Prevention. International Journal of Sustainability Management and Information Technologies, 10(2), 19-29. https://doi.org/10.11648/j.ijsmit.20241002.11

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ACS Style

Silva, A.; Dutra, F.; Corrêa, F.; Faria, V. Exploring AI Applications in Occupational Safety: A Bibliometric Perspective on Accident Prevention. Int. J. Sustain. Manag. Inf. Technol. 2024, 10(2), 19-29. doi: 10.11648/j.ijsmit.20241002.11

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AMA Style

Silva A, Dutra F, Corrêa F, Faria V. Exploring AI Applications in Occupational Safety: A Bibliometric Perspective on Accident Prevention. Int J Sustain Manag Inf Technol. 2024;10(2):19-29. doi: 10.11648/j.ijsmit.20241002.11

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@article{10.11648/j.ijsmit.20241002.11,
  author = {Alexandre Silva and Frederico Dutra and Fábio Corrêa and Vinícius Faria},
  title = {Exploring AI Applications in Occupational Safety: A Bibliometric Perspective on Accident Prevention
},
  journal = {International Journal of Sustainability Management and Information Technologies},
  volume = {10},
  number = {2},
  pages = {19-29},
  doi = {10.11648/j.ijsmit.20241002.11},
  url = {https://doi.org/10.11648/j.ijsmit.20241002.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsmit.20241002.11},
  abstract = {Occupational accidents that happen in the world of work have attracted, over time, the concern of how to implement preventive measures to avoid them. The International Labour Organization (ILO) estimates that 2 million people die worldwide each year from work-related causes. In Brazil, in the year 2022, there were 1,828 accidents involving electricity resulting in 592 deaths. A solution to improve this process is the use of available technology, especially with the modernization brought about by the so-called 4th Industrial Revolution, or Industry 4.0, This article aims to present a bibliometric research, identifying the main publications, authors, universities, countries and keywords that address the applications of artificial intelligence in work safety, with a focus on accident prevention. Data were collected from the Web of Science database, using the keywords (“artificial intelligence”) AND (workplace OR “occupation health and safety” OR “accident prevention”). Data interpretation was carried out through performance analysis, based on WoS reports; and scientific mapping, using the VOSviewer software. 272 articles were found that were analyzed and composed the research. It was evident that the subject of artificial intelligence applied to work safety is still little explored, however, from 2020 onwards, there was a significant increase in scientific publications. As proposal for future studies, suggests conducting research using alternative keywords, as well as searching various databases to try to find new articles that address the topic.
},
 year = {2024}
}

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TY  - JOUR
T1  - Exploring AI Applications in Occupational Safety: A Bibliometric Perspective on Accident Prevention

AU  - Alexandre Silva
AU  - Frederico Dutra
AU  - Fábio Corrêa
AU  - Vinícius Faria
Y1  - 2024/07/31
PY  - 2024
N1  - https://doi.org/10.11648/j.ijsmit.20241002.11
DO  - 10.11648/j.ijsmit.20241002.11
T2  - International Journal of Sustainability Management and Information Technologies
JF  - International Journal of Sustainability Management and Information Technologies
JO  - International Journal of Sustainability Management and Information Technologies
SP  - 19
EP  - 29
PB  - Science Publishing Group
SN  - 2575-5110
UR  - https://doi.org/10.11648/j.ijsmit.20241002.11
AB  - Occupational accidents that happen in the world of work have attracted, over time, the concern of how to implement preventive measures to avoid them. The International Labour Organization (ILO) estimates that 2 million people die worldwide each year from work-related causes. In Brazil, in the year 2022, there were 1,828 accidents involving electricity resulting in 592 deaths. A solution to improve this process is the use of available technology, especially with the modernization brought about by the so-called 4th Industrial Revolution, or Industry 4.0, This article aims to present a bibliometric research, identifying the main publications, authors, universities, countries and keywords that address the applications of artificial intelligence in work safety, with a focus on accident prevention. Data were collected from the Web of Science database, using the keywords (“artificial intelligence”) AND (workplace OR “occupation health and safety” OR “accident prevention”). Data interpretation was carried out through performance analysis, based on WoS reports; and scientific mapping, using the VOSviewer software. 272 articles were found that were analyzed and composed the research. It was evident that the subject of artificial intelligence applied to work safety is still little explored, however, from 2020 onwards, there was a significant increase in scientific publications. As proposal for future studies, suggests conducting research using alternative keywords, as well as searching various databases to try to find new articles that address the topic.

VL  - 10
IS  - 2
ER  -

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Author Information

Alexandre Silva

Information and Knowledge Systems Management Department, Fumec University, Belo Horizonte, Brazil

Contact Email
Frederico Dutra

Information and Knowledge Systems Management Department, Fumec University, Belo Horizonte, Brazil
Fábio Corrêa

Information and Knowledge Systems Management Department, Fumec University, Belo Horizonte, Brazil
Vinícius Faria

Information and Knowledge Systems Management Department, Fumec University, Belo Horizonte, Brazil

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APA Style

Silva, A., Dutra, F., Corrêa, F., Faria, V. (2024). Exploring AI Applications in Occupational Safety: A Bibliometric Perspective on Accident Prevention. International Journal of Sustainability Management and Information Technologies, 10(2), 19-29. https://doi.org/10.11648/j.ijsmit.20241002.11

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ACS Style

Silva, A.; Dutra, F.; Corrêa, F.; Faria, V. Exploring AI Applications in Occupational Safety: A Bibliometric Perspective on Accident Prevention. Int. J. Sustain. Manag. Inf. Technol. 2024, 10(2), 19-29. doi: 10.11648/j.ijsmit.20241002.11

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AMA Style

Silva A, Dutra F, Corrêa F, Faria V. Exploring AI Applications in Occupational Safety: A Bibliometric Perspective on Accident Prevention. Int J Sustain Manag Inf Technol. 2024;10(2):19-29. doi: 10.11648/j.ijsmit.20241002.11

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@article{10.11648/j.ijsmit.20241002.11,
  author = {Alexandre Silva and Frederico Dutra and Fábio Corrêa and Vinícius Faria},
  title = {Exploring AI Applications in Occupational Safety: A Bibliometric Perspective on Accident Prevention
},
  journal = {International Journal of Sustainability Management and Information Technologies},
  volume = {10},
  number = {2},
  pages = {19-29},
  doi = {10.11648/j.ijsmit.20241002.11},
  url = {https://doi.org/10.11648/j.ijsmit.20241002.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsmit.20241002.11},
  abstract = {Occupational accidents that happen in the world of work have attracted, over time, the concern of how to implement preventive measures to avoid them. The International Labour Organization (ILO) estimates that 2 million people die worldwide each year from work-related causes. In Brazil, in the year 2022, there were 1,828 accidents involving electricity resulting in 592 deaths. A solution to improve this process is the use of available technology, especially with the modernization brought about by the so-called 4th Industrial Revolution, or Industry 4.0, This article aims to present a bibliometric research, identifying the main publications, authors, universities, countries and keywords that address the applications of artificial intelligence in work safety, with a focus on accident prevention. Data were collected from the Web of Science database, using the keywords (“artificial intelligence”) AND (workplace OR “occupation health and safety” OR “accident prevention”). Data interpretation was carried out through performance analysis, based on WoS reports; and scientific mapping, using the VOSviewer software. 272 articles were found that were analyzed and composed the research. It was evident that the subject of artificial intelligence applied to work safety is still little explored, however, from 2020 onwards, there was a significant increase in scientific publications. As proposal for future studies, suggests conducting research using alternative keywords, as well as searching various databases to try to find new articles that address the topic.
},
 year = {2024}
}

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TY  - JOUR
T1  - Exploring AI Applications in Occupational Safety: A Bibliometric Perspective on Accident Prevention

AU  - Alexandre Silva
AU  - Frederico Dutra
AU  - Fábio Corrêa
AU  - Vinícius Faria
Y1  - 2024/07/31
PY  - 2024
N1  - https://doi.org/10.11648/j.ijsmit.20241002.11
DO  - 10.11648/j.ijsmit.20241002.11
T2  - International Journal of Sustainability Management and Information Technologies
JF  - International Journal of Sustainability Management and Information Technologies
JO  - International Journal of Sustainability Management and Information Technologies
SP  - 19
EP  - 29
PB  - Science Publishing Group
SN  - 2575-5110
UR  - https://doi.org/10.11648/j.ijsmit.20241002.11
AB  - Occupational accidents that happen in the world of work have attracted, over time, the concern of how to implement preventive measures to avoid them. The International Labour Organization (ILO) estimates that 2 million people die worldwide each year from work-related causes. In Brazil, in the year 2022, there were 1,828 accidents involving electricity resulting in 592 deaths. A solution to improve this process is the use of available technology, especially with the modernization brought about by the so-called 4th Industrial Revolution, or Industry 4.0, This article aims to present a bibliometric research, identifying the main publications, authors, universities, countries and keywords that address the applications of artificial intelligence in work safety, with a focus on accident prevention. Data were collected from the Web of Science database, using the keywords (“artificial intelligence”) AND (workplace OR “occupation health and safety” OR “accident prevention”). Data interpretation was carried out through performance analysis, based on WoS reports; and scientific mapping, using the VOSviewer software. 272 articles were found that were analyzed and composed the research. It was evident that the subject of artificial intelligence applied to work safety is still little explored, however, from 2020 onwards, there was a significant increase in scientific publications. As proposal for future studies, suggests conducting research using alternative keywords, as well as searching various databases to try to find new articles that address the topic.

VL  - 10
IS  - 2
ER  -

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