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Building safe organisations: using machine learning to decode safety habits of blue-collar workers in the construction industry

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Bibliographic Details
Published in:Ekonomia i Zarzadzanie. Economics and Management
Format: Online Article RSS Article
Published: 2026
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container_title Ekonomia i Zarzadzanie. Economics and Management
description
discipline_display Management
discipline_facet Management
format Online Article
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genre Journal Article
id rss_article:63624
institution FRELIP
journal_source_facet Ekonomia i Zarzadzanie. Economics and Management
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Building safe organisations: using machine learning to decode safety habits of blue-collar workers in the construction industry
Management
General
Management
sub_discipline_display General
sub_discipline_facet General
subject_display Management
General
Management
Management
General
Management
subject_facet Management
General
Management
title Building safe organisations: using machine learning to decode safety habits of blue-collar workers in the construction industry
title_auth Building safe organisations: using machine learning to decode safety habits of blue-collar workers in the construction industry
title_full Building safe organisations: using machine learning to decode safety habits of blue-collar workers in the construction industry
title_fullStr Building safe organisations: using machine learning to decode safety habits of blue-collar workers in the construction industry
title_full_unstemmed Building safe organisations: using machine learning to decode safety habits of blue-collar workers in the construction industry
title_short Building safe organisations: using machine learning to decode safety habits of blue-collar workers in the construction industry
title_sort building safe organisations: using machine learning to decode safety habits of blue-collar workers in the construction industry
topic Management
General
Management
url https://sciendo.com/article/10.2478/emj-2026-0004