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Bibliometric Analysis of Global Research Trends on Digital Occupational Health Using Scopus Database

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International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023) (AI2SD 2023)

Abstract

The Covid-19 pandemic has emphasized the importance of digital technology in promoting workplace health and employee well-being, as well as in preventing health hazards posed by Artificial Intelligence errors. Digital health technologies have been widely used to provide remote healthcare, monitor employee health, and facilitate communication between employees and healthcare professionals. This paper provides a detailed analysis of global trends in digital occupational health research over the last decade. Using bibliometric analysis, the study identifies productive authors, countries, academic institutions, and journals. The findings shed light on the role of digital technology in occupational health and help identify future directions for research.

The PRISMA framework was used to extract relevant documents from the Scopus database, and VOSviewer software was employed to create a visualization map of the literature. The study identified the most productive countries, academic institutions, journals, and authors in the field, revealing the significance of digital technology in occupational health. The analysis provides comprehensive information on global trends in digital and occupational health and highlights the need for future research to include contributions from emerging countries and appropriate tools to obtain accurate outcomes.

Overall, the study offers a useful overview of digital occupational health trends and serves as a guide for further research.

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Correspondence to Youssef Er Rays .

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Er Rays, Y., Lequaddem, H.A., Ezzahiri, M. (2024). Bibliometric Analysis of Global Research Trends on Digital Occupational Health Using Scopus Database. In: Ezziyyani, M., Kacprzyk, J., Balas, V.E. (eds) International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023). AI2SD 2023. Lecture Notes in Networks and Systems, vol 904. Springer, Cham. https://doi.org/10.1007/978-3-031-52388-5_1

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