{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T21:26:25Z","timestamp":1777929985469,"version":"3.51.4"},"reference-count":74,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T00:00:00Z","timestamp":1776643200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["WORK: A Journal of Prevention, Assessment &amp; Rehabilitation"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Occupational injuries persist as a significant challenge in high-risk industries, such as aluminum smelting. Despite extensive safety initiatives, injury rates continue to be driven by a complex interplay of organizational and workplace-level factors. A limited understanding of how these multilevel factors hinder the design of effective preventive strategies highlights the need for a deeper investigation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aims to investigate the causal mechanisms linking organizational resilience, hazard perception, and occupational well-being to injury occurrence in aluminum smelting operations, thereby aiding in the development of targeted safety interventions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This study employed a 1:4 case-control design, involving 600 shop floor workers (120 injured and 480 non-injured). Structural equation modeling (SEM) was employed to analyze interrelationships among organizational and local workplace-level factors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The study revealed that organizational resilience exerted a direct negative influence on injury (B\u2009=\u2009\u22120.47, p\u2009&lt;\u20090.01). The indirect effect of organizational resilience on injuries, mediated by hazard perception, was found to be negative (B\u2009=\u2009\u22120.19, p\u2009&lt;\u20090.01). Hazard perception had a negative, moderate, and direct impact on injury (B\u2009=\u2009\u22120.33, p\u2009&lt;\u20090.01). Moreover, occupational well-being did not significantly influence injury. Organizational resilience was identified as the crucial factor that influences both hazard perception and injury status within the workforce.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Strengthening organizational resilience through proactive safety measures and supportive policies provides a viable solution to reduce injury rates in aluminum smelting operations. These findings highlight the importance of system-level approaches in improving occupational safety outcomes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/10519815261440894","type":"journal-article","created":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T14:03:35Z","timestamp":1776693815000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Understanding the role of organizational resilience, workers\u2019 well-being, and hazard perception on workplace injuries in an aluminum smelter"],"prefix":"10.1177","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5848-6301","authenticated-orcid":false,"given":"Ashish","family":"Kumar","sequence":"first","affiliation":[{"name":"School of Advanced Engineering, University of Petroleum and Energy Studies, Dehradun, India"},{"name":"Department of Mining Engineering, Indian Institute of Technology Kharagpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rahul","family":"Upadhyay","sequence":"additional","affiliation":[{"name":"Department of Mining Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amrites","family":"Senapati","sequence":"additional","affiliation":[{"name":"Department of Mining Engineering, National Institute of Technology Surathkal, Mangalore, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Biswajit","family":"Samanta","sequence":"additional","affiliation":[{"name":"Department of Mining Engineering, Indian Institute of Technology Kharagpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ashis","family":"Bhattacherjee","sequence":"additional","affiliation":[{"name":"Former Professor, Department of Mining Engineering, Indian Institute of Technology Kharagpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2026,4,20]]},"reference":[{"key":"e_1_3_3_2_2","first-page":"1748006X2513316","article-title":"Transforming workplace safety through leveraging predictive analytics and explainable AI in steel industries","volume":"239","author":"Pandey S","year":"2025","unstructured":"Pandey S, Singh AK, Parhi S. 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