Influence of green supply chain and sustainability culture on sustainable performance

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Type of the article: Research Article

Abstract
The purpose of this study is to examine the influence of green supply chain practices and sustainability culture on sustainable performance in the Saudi Arabian manufacturing sector. Using a cross-sectional research design, data were collected in February 2025 from 329 managerial employees, including department heads, operations managers, environmental officers, and quality assurance supervisors working in ten medium to large-scale manufacturing companies located in Riyadh, Jeddah, and Dammam. These participants were selected through convenience sampling based on their direct engagement in green supply chains and sustainability practices, ensuring relevance to the research objectives. Data were gathered using a structured questionnaire distributed in person and via email. Structural equation modeling (SEM) with SmartPLS 4.0 was applied to analyze the data. The findings reveal that green supply chain practices (β = 0.335) and sustainability culture (β = 0.78) significantly influence management commitment, which in turn has a strong positive impact on sustainable performance (β = 0.896). Management commitment also mediates these relationships, with green supply chain practices (β = 0.421) and sustainability culture (β = 0.699) indirectly enhancing sustainable performance through their effects on management commitment. These results highlight the importance of integrating green supply chain initiatives, fostering a sustainability-oriented culture, and securing strong management commitment to achieve sustainability goals in the Saudi Arabian manufacturing sector.

Acknowledgment
Appreciations are extended to the Arab Open University for funding this work through the research fund No. (AOUKSA-524008).

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    • Figure 1. Research model
    • Figure 2. Structural model
    • Table 1. Participant profile
    • Table 2. Measurement model
    • Table 3. Discriminant validity (Fornell-Larcker criterion)
    • Table 4. Path coefficients
    • Table A1. Questionnaire
    • Conceptualization
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    • Formal Analysis
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