Examining the Impact of Sustainable Supply Chain Practices on HSE Outcomes in the Alloy Steel Industry Using Structural Equation Modeling

سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 65

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شناسه ملی سند علمی:

JR_JEHSD-11-1_002

تاریخ نمایه سازی: 6 اردیبهشت 1405

چکیده مقاله:

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 ۱۲۰ 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 > ۰.۷) 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 = ۰.۱۳۱–۰.۳۲۵, p < ۰.۰۵), with internal processes showing the strongest influence. The model exhibited high explanatory power (R² = ۰.۸۵۴). 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.

نویسندگان

Rohollah Fallah Madvari

Department of Occupational Health Engineering, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Abolfazl Kamel Rastegar Qavi

Department of Industrial Engineering, Science and Arts University, Yazd, Iran

Ali Sadri Esfahani

Department of Industrial Engineering, Science and Arts University, Yazd, Iran

Afarin Akhavan

Department of Industrial Engineering, Science and Arts University, Yazd, Iran

Sepideh Kamali

Department of Occupational Health, Esfarayen Faculty of Medical Sciences, Esfarayen, Iran

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