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Evaluation of resilience engineering using super decisions software

Background: Resilience engineering (RE) is a new approach to upgrade safety management systems. Due to its novelty in the field of safety, RE seems to be promising in providing good indicators to assess priorities in organizational strengths/weaknesses while planning to promote safety within organiz...

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Detalles Bibliográficos
Autores principales: Shirali, Gholam Abbas, Nematpour, Leila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tabriz University of Medical Sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6717918/
https://www.ncbi.nlm.nih.gov/pubmed/31508339
http://dx.doi.org/10.15171/hpp.2019.27
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author Shirali, Gholam Abbas
Nematpour, Leila
author_facet Shirali, Gholam Abbas
Nematpour, Leila
author_sort Shirali, Gholam Abbas
collection PubMed
description Background: Resilience engineering (RE) is a new approach to upgrade safety management systems. Due to its novelty in the field of safety, RE seems to be promising in providing good indicators to assess priorities in organizational strengths/weaknesses while planning to promote safety within organizations. Several methods have been recently developed to evaluate REperformance. The current study is an attempt to quantify and determine the priorities of REdimensions in a steel industry using analytic network process (ANP). Methods: In this cross-sectional study, 489 male workers of a steel industry participated. For this purpose, the RE questionnaire was distributed among workers and, then, super decisions software (version 3.2) was used to analyze the data. Results: The results indicated that there was a sufficient level of RE in the organization where top management commitment with normalized weight 0.1781 and awareness-opacity with normalized weight 0.1483 were ranked as the first and last priorities of the organization, respectively. Conclusion: The results of this study showed that the top management system, with the adoption of safety policies, has been able to improve the performance of RE in the organization. Managers should consider appropriate measures to improve the RE situation.
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spelling pubmed-67179182019-09-10 Evaluation of resilience engineering using super decisions software Shirali, Gholam Abbas Nematpour, Leila Health Promot Perspect Original Article Background: Resilience engineering (RE) is a new approach to upgrade safety management systems. Due to its novelty in the field of safety, RE seems to be promising in providing good indicators to assess priorities in organizational strengths/weaknesses while planning to promote safety within organizations. Several methods have been recently developed to evaluate REperformance. The current study is an attempt to quantify and determine the priorities of REdimensions in a steel industry using analytic network process (ANP). Methods: In this cross-sectional study, 489 male workers of a steel industry participated. For this purpose, the RE questionnaire was distributed among workers and, then, super decisions software (version 3.2) was used to analyze the data. Results: The results indicated that there was a sufficient level of RE in the organization where top management commitment with normalized weight 0.1781 and awareness-opacity with normalized weight 0.1483 were ranked as the first and last priorities of the organization, respectively. Conclusion: The results of this study showed that the top management system, with the adoption of safety policies, has been able to improve the performance of RE in the organization. Managers should consider appropriate measures to improve the RE situation. Tabriz University of Medical Sciences 2019-08-06 /pmc/articles/PMC6717918/ /pubmed/31508339 http://dx.doi.org/10.15171/hpp.2019.27 Text en © 2019 The Author(s). http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Shirali, Gholam Abbas
Nematpour, Leila
Evaluation of resilience engineering using super decisions software
title Evaluation of resilience engineering using super decisions software
title_full Evaluation of resilience engineering using super decisions software
title_fullStr Evaluation of resilience engineering using super decisions software
title_full_unstemmed Evaluation of resilience engineering using super decisions software
title_short Evaluation of resilience engineering using super decisions software
title_sort evaluation of resilience engineering using super decisions software
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6717918/
https://www.ncbi.nlm.nih.gov/pubmed/31508339
http://dx.doi.org/10.15171/hpp.2019.27
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