359
Views
1
CrossRef citations to date
0
Altmetric
Articles

Research trends in ergonomics, industrial safety and health: semantic network and topic analyses

, & ORCID Icon
Pages 20-32 | Published online: 01 Feb 2023
 

Abstract

We evaluated the research trends in ergonomics, industrial safety and health from the 1980s to the present. In the ergonomics area, keywords and abstracts from five journals were analyzed. For industrial safety and health, six journal databases were evaluated. A frequency analysis, a semantic network of keywords and a topic network of abstracts were conducted. The results of ergonomics showed that ‘macro-ergonomics’ and ‘manual material handling’ were the most popular topics, and ‘ergonomic’ and ‘electromyography’ were the most cited keywords. ‘Posture’ and ‘biomechanics’ were the most frequently used with high centrality. The results of industrial safety and health showed that ‘job stress’ and ‘organizational safety’ were the most popular topics, and ‘occupational exposure’ and ‘occupational health’ were the most cited keywords. ‘Dust’ and ‘exposure’ were frequently used with high centrality. The results would be helpful in understanding the trends of research efforts and foreseeing trends of future research.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by National Research Foundation of Korea [grant number 2021R1I1A1A01050440], [grant number 2022R1F1A1069384].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 279.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.