Volume 11, Issue 1 (Spring 2025)
J Health Res Commun 2025, 11(1): 2-2 |
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KhosraviShapourAbadi Z, Naghavi-Konjin Z, Etemadinezhad S, Yazdani-Charati J. The Impact of Organizational and Managerial Factors on Integrated Resilience Engineering Indicators: A Case Study in a Petrochemical Complex Aimed at Enhancing Employees’ Health. J Health Res Commun 2025; 11 (1) :2-2
URL: http://jhc.mazums.ac.ir/article-1-1111-en.html
URL: http://jhc.mazums.ac.ir/article-1-1111-en.html
Zahra KhosraviShapourAbadi 
, Zahra Naghavi-Konjin * , Siavash Etemadinezhad , Jamshid Yazdani-Charati
, Zahra Naghavi-Konjin * , Siavash Etemadinezhad , Jamshid Yazdani-Charati
Mazandaran University of Medical Sciences
Abstract: (277 Views)
Introduction & purpose: Resilience engineering is a modern approach in safety science that focuses on the intrinsic capacity of systems to respond effectively to both anticipated and unanticipated conditions. The aim of this study was to investigate the extent to which organizational and managerial factors influence the indicators of integrated resilience engineering in a petrochemical complex.
Method: This descriptive cross-sectional study was carried out in 2021 in one of the petrochemical industries located in Kermanshah Province, Iran. A stratified random sampling method was used to select a sample of 200 participants. Data was collected using two structured questionnaires: a 27-item Integrated Resilience Engineering questionnaire and a 6-item Organizational and Managerial Factors questionnaire. The validity of the tools was confirmed through the Content Validity Ratio (CVR) and Content Validity Index (CVI), and reliability was assessed using test–retest procedures and Cronbach's alpha. Data analysis was conducted using SPSS version 26 at a 5% significance level, and efficiency was evaluated through the Data Envelopment Analysis (DEA) method.
Results: Findings revealed that organizational factors had a greater influence on integrated resilience engineering compared to managerial factors, with respective mean scores of 7.08 and 6.65. Based on Data Envelopment Analysis (DEA), 160 units were classified as efficient under the organizational condition, whereas only 146 units met the efficiency threshold when managerial factors were considered. Moreover, a statistically significant and positive correlation was observed between organizational factors and the learning culture indicator (β = 0.499, R² = 0.277). In the ranking of resilience indicators, management commitment emerged as the most robust indicator, while situation awareness received the lowest mean score.
Conclusion: Given the findings, strengthening organizational factors—particularly the learning culture and management commitment—can substantially enhance resilience in complex systems such as petrochemical industries. Overall, the level of resilience in the studied complex was rated above average, indicating a promising foundation for further improvement through targeted interventions.
Method: This descriptive cross-sectional study was carried out in 2021 in one of the petrochemical industries located in Kermanshah Province, Iran. A stratified random sampling method was used to select a sample of 200 participants. Data was collected using two structured questionnaires: a 27-item Integrated Resilience Engineering questionnaire and a 6-item Organizational and Managerial Factors questionnaire. The validity of the tools was confirmed through the Content Validity Ratio (CVR) and Content Validity Index (CVI), and reliability was assessed using test–retest procedures and Cronbach's alpha. Data analysis was conducted using SPSS version 26 at a 5% significance level, and efficiency was evaluated through the Data Envelopment Analysis (DEA) method.
Results: Findings revealed that organizational factors had a greater influence on integrated resilience engineering compared to managerial factors, with respective mean scores of 7.08 and 6.65. Based on Data Envelopment Analysis (DEA), 160 units were classified as efficient under the organizational condition, whereas only 146 units met the efficiency threshold when managerial factors were considered. Moreover, a statistically significant and positive correlation was observed between organizational factors and the learning culture indicator (β = 0.499, R² = 0.277). In the ranking of resilience indicators, management commitment emerged as the most robust indicator, while situation awareness received the lowest mean score.
Conclusion: Given the findings, strengthening organizational factors—particularly the learning culture and management commitment—can substantially enhance resilience in complex systems such as petrochemical industries. Overall, the level of resilience in the studied complex was rated above average, indicating a promising foundation for further improvement through targeted interventions.
Keywords: : Resilience Engineering, Managerial factors, Organizational factors, Industrial Safety, Petrochemical Industry
Type of Study: Research(Original) |
Subject:
Occupational Health
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