Occupational injuries and workplace safety in European countries: a K-means cluster analysis

Radić, Aleksandra; Milijić, Nenad; Nikolić, Ivica

doi:10.5937/IMCSM26434R

Conference Object Open access M33

Radić, Milijić, Nikolić, 2026_IMCSMpdf.pdf (610.66KB)

2026

Radić, Aleksandra
Milijić, Nenad
Nikolić, Ivica

University of Belgrade, Technical Faculty

International May Conference on Strategic Management – IMCSM26 May 2026, Belgrade, Republic of Serbia

XXII

434

443

English

M33 - Conference paper at an international conference, printed in full

Occupational injuries remain a significant issue in European countries, affecting both worker safety and broader socio-economic outcomes. This study groups European countries into homogeneous categories based on workplace injury levels from 2014 to 2023. The analysis uses secondary data from Eurostat, including indicators on fatal and non-fatal workplace accidents within aggregated sectors: agriculture, industry and construction (excluding mining), and business economy services. To achieve the research objective, K-means cluster analysis was applied after data standardisation using Z-score normalisation. The results show substantial variability in occupational injury levels across countries, with particularly high dispersion for non-fatal injuries. The clustering identifies two distinct groups of countries, representing relatively safer and less safe working environments. While most countries show consistent classification across both fatal and non-fatal injury models, a significant number display discrepancies, suggesting that these indicators capture different aspects of workplace safety.

DOI

10.5937/IMCSM26434R

ISSN

2620-0597

ISBN

978-86-6305-169-0

URI

https://repozitorijum.tfbor.bg.ac.rs/handle/...

Scopus

OpenCitations

dc.creator	Radić, Aleksandra
dc.creator	Milijić, Nenad
dc.creator	Nikolić, Ivica
dc.contributor	Nikolić, Đorđe
dc.title	Occupational injuries and workplace safety in European countries: a K-means cluster analysis
dc.date.issued	2026
dc.publisher	University of Belgrade, Technical Faculty
dc.identifier.doi	10.5937/IMCSM26434R
dc.identifier.isbn	978-86-6305-169-0
dc.identifier.issn	2620-0597
dc.type	conferenceObject
dc.source	International May Conference on Strategic Management – IMCSM26 May 2026, Belgrade, Republic of Serbia
dc.citation.volume	XXII
dc.citation.issue	1
dc.citation.spage	434
dc.citation.epage	443
dc.language.iso	en
dc.type.version	publishedVersion
dc.citation.rank	M33
dc.description.abstract	Occupational injuries remain a significant issue in European countries, affecting both worker safety and broader socio-economic outcomes. This study groups European countries into homogeneous categories based on workplace injury levels from 2014 to 2023. The analysis uses secondary data from Eurostat, including indicators on fatal and non-fatal workplace accidents within aggregated sectors: agriculture, industry and construction (excluding mining), and business economy services. To achieve the research objective, K-means cluster analysis was applied after data standardisation using Z-score normalisation. The results show substantial variability in occupational injury levels across countries, with particularly high dispersion for non-fatal injuries. The clustering identifies two distinct groups of countries, representing relatively safer and less safe working environments. While most countries show consistent classification across both fatal and non-fatal injury models, a significant number display discrepancies, suggesting that these indicators capture different aspects of workplace safety.
dc.rights.license	CC-BY-NC-ND
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.date.accessioned	2026-10-02T10:39:30Z
dc.description.provenance	Submitted by aradic@tfbor.bg.ac.rs on 2026-09-24 09:13:21.108658, with 2 file(s). Approved by Оливер Марковић (omarkovic@tfbor.bg.ac.rs) on 2026-10-02T10:39:30Z.
dc.identifier.uri	https://repozitorijum.tfbor.bg.ac.rs/handle/123456789/6139
dc.identifier.fulltext	https://repozitorijum.tfbor.bg.ac.rs/bitstream?id=b0c2d05e-5e4a-49e2-83f5-82d9d54e7c95


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