{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,6]],"date-time":"2026-09-06T04:11:04Z","timestamp":1788667864340,"version":"build-2803163510"},"reference-count":50,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T00:00:00Z","timestamp":1788307200000},"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>Industrial environments face significant risks due to hazardous materials, machinery, and complex supply chains. Effective emergency preparedness is essential for minimizing human, environmental, and economic impacts during crises.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study develops a comprehensive tool to assess emergency preparedness in industrial settings that integrates expert insights with quantitative analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The study was conducted in four phases. A three-round Delphi study involved 24 subject matter experts (SMEs). Content validity was assessed using the content validity index (CVI) and content validity ratio (CVR). The fuzzy analytic hierarchy process (FAHP) was applied to assign weights to the dimensions and factors. SMEs also participated in validating the final tool. Cronbach's alpha was calculated to evaluate internal reliability.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The Delphi process identified eight dimensions and 40 key factors. The training &amp; competency dimension received the highest weight (0.200), followed by exercises\/drills\/simulations (0.131) and risk assessment &amp; hazard identification (0.125). Low inconsistency rates (maximum consistency ratio (CRm)\u2009=\u20090.002, geometric consistency ratio (CRg)\u2009=\u20090.007) confirmed the robustness of expert feedback. The CVI values for all 200 items exceeded 0.79, confirming their relevance, while CVR values were above 0.37, demonstrating good reliability (Cronbach's alpha\u2009=\u20090.81). The tool validation process, which includes expert consensus and psychometric testing, confirms its effectiveness for practical application.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The developed tool provides a scientifically reliable, and comprehensive framework for assessing emergency preparedness in industrial environments. Future research should aim to extend the tool's validation to additional industrial sectors and integrate technological advancements to enable real-time data analysis and decision-making.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/10519815261484174","type":"journal-article","created":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T22:36:07Z","timestamp":1788388567000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["A multi-dimensional framework for assessing emergency preparedness effectiveness in industrial settings using the Delphi method and fuzzy AHP"],"prefix":"10.1177","author":[{"given":"Ahmad","family":"Soltanzadeh","sequence":"first","affiliation":[{"name":"Research Center for Environmental Pollutants, Qom University of Medical Sciences, Qom, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohsen","family":"Mahdinia","sequence":"additional","affiliation":[{"name":"Department of Occupational Health &amp; Safety Engineering, Faculty of Health, Qom University of Medical Sciences, Qom, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohaddeseh","family":"Ahmadi","sequence":"additional","affiliation":[{"name":"Qom University of Medical Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abolfazl","family":"Mohammadbeigi","sequence":"additional","affiliation":[{"name":"Qom University of Medical Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2512-8591","authenticated-orcid":false,"given":"Mohsen","family":"Sadeghi-Yarandi","sequence":"additional","affiliation":[{"name":"University of Social Welfare and Rehabilitation Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,9,2]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijsu.2020.02.034"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.3390\/ejihpe11040116"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.3390\/jsan12030041"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2021.105527"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1021\/acs.chas.0c00018"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1017\/ash.2021.190"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijdrr.2021.102104"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.3390\/su142013519"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-91727-2_12"},{"key":"e_1_3_3_11_2","first-page":"298","article-title":"Safety behaviors assessment in process industry: a case study in gas refinery","volume":"25","author":"Fam IM","year":"2008","unstructured":"Fam IM, Azadeh A, Faridan M, et al. 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