Structural equation modeling of supply chain management impact on firm performance

• Autores: Mariame Ababou
• Localización: International Journal of Professional Business Review: Int. J. Prof.Bus. Rev., ISSN 2525-3654, ISSN-e 2525-3654, Vol. 9, Nº. 7, 2024 (Ejemplar dedicado a: Continuous publication; e04860)
• Idioma: inglés
• DOI: 10.26668/businessreview/2024.v9i7.4411
• Enlaces
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• Resumen

  • Objective: This study aims to examine the impact of supply chain management (SCM) practices on firm performance within the agri-food industry, utilizing Structural Equation Modeling (SEM) to analyze the relationships between SCM factors and firm performance indicators.

      Theoretical Framework: The study is grounded in the understanding that effective SCM practices can significantly influence firm performance in volatile and competitive markets, particularly within the agri-food sector.

      Method: Data collection involved face-to-face questionnaires to ensure comprehensive responses from participants. Structural Equation Modeling (SEM) was employed for analysis, utilizing SmartPLS 3 software for data processing.

      Results and Discussion: The results reveal significant positive relationships between SCM practices and firm performance indicators, including economic-financial and commercial dimensions. The discussion delves into the varying effect sizes observed and highlights the critical role of SCM in enhancing organizational outcomes.

      Implications of the Research: This study offers valuable insights into strategies for improving operational efficiency and competitiveness within the agri-food industry, emphasizing the importance of effective SCM practices in driving firm performance.

      Originality/Value: By shedding light on the interplay between SCM dynamics and firm performance in the agri-food sector, this research contributes to enriching our understanding of the field and provides practical implications for industry practitioners and policymakers.

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