Volume 11, Issue 1 (March 2026)
J Environ Health Sustain Dev 2026, 11(1): 2881-2890 |
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Ethics code: IR.ACECR.JDM.REC.1401.047
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Fallah Madvari R, Kamel Rastegar Qavi A, Sadri Esfahani A, Akhavan A, Kamali S. Examining the Impact of Sustainable Supply Chain Practices on HSE Outcomes in the Alloy Steel Industry Using Structural Equation Modeling. J Environ Health Sustain Dev 2026; 11 (1) :2881-2890
URL: http://jehsd.ssu.ac.ir/article-1-1013-en.html
URL: http://jehsd.ssu.ac.ir/article-1-1013-en.html
Rohollah Fallah Madvari 
, Abolfazl Kamel Rastegar Qavi , Ali Sadri Esfahani , Afarin Akhavan , Sepideh Kamali *
, Abolfazl Kamel Rastegar Qavi , Ali Sadri Esfahani , Afarin Akhavan , Sepideh Kamali *
Department of Occupational Health, Esfarayen Faculty of Medical Sciences, Esfarayen, Iran
Abstract: (9 Views)
Introduction: This study investigates the connection between sustainable supply chain practices and Health, Safety, and Environment (HSE) outcomes in the alloy steel industry using Structural Equation Modeling (SEM).
Materials and Methods: A cross-sectional survey was conducted among 120 industry professionals, selected through purposive, non-random sampling to ensure their expertise in HSE and supply chain management. Data were collected using validated questionnaires measuring four dimensions of sustainable supply chain practices—supplier management, customer relationships, internal processes, and organizational learning—alongside HSE outcomes.
Results: The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS software, selected for its suitability in modeling complex constructs with moderate sample sizes. The measurement model demonstrated acceptable reliability (Cronbach's alpha > 0.7) and satisfactory convergent and discriminant validity. The findings from the structural model indicated that all four dimensions of sustainable supply chain practices had a significant and positive impact on HSE outcomes (path coefficients = 0.131–0.325, p < 0.05), with internal processes showing the strongest influence. The model exhibited high explanatory power (R² = 0.854).
Conclusion: These findings suggest that aligning sustainable supply chain practices—particularly internal process optimization—with HSE objectives can substantially enhance the sustainable performance of the alloy steel industry. However, the findings should be interpreted with caution due to the cross-sectional design, and depended on self-reported data, and use of purposive, non-random sampling, which may limit causal inference and generalizability.
Materials and Methods: A cross-sectional survey was conducted among 120 industry professionals, selected through purposive, non-random sampling to ensure their expertise in HSE and supply chain management. Data were collected using validated questionnaires measuring four dimensions of sustainable supply chain practices—supplier management, customer relationships, internal processes, and organizational learning—alongside HSE outcomes.
Results: The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS software, selected for its suitability in modeling complex constructs with moderate sample sizes. The measurement model demonstrated acceptable reliability (Cronbach's alpha > 0.7) and satisfactory convergent and discriminant validity. The findings from the structural model indicated that all four dimensions of sustainable supply chain practices had a significant and positive impact on HSE outcomes (path coefficients = 0.131–0.325, p < 0.05), with internal processes showing the strongest influence. The model exhibited high explanatory power (R² = 0.854).
Conclusion: These findings suggest that aligning sustainable supply chain practices—particularly internal process optimization—with HSE objectives can substantially enhance the sustainable performance of the alloy steel industry. However, the findings should be interpreted with caution due to the cross-sectional design, and depended on self-reported data, and use of purposive, non-random sampling, which may limit causal inference and generalizability.
Keywords: Supply Chain Management, Occupational Health, Safety Management, Environmental Health, Sustainability.
Type of Study: Original articles |
Subject:
Health Safety and Environment (HSE)
Received: 2025/09/28 | Accepted: 2022/04/22 | Published: 2026/03/3
Received: 2025/09/28 | Accepted: 2022/04/22 | Published: 2026/03/3
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