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<p>This study investigates how sustainable supply chain ambidexterity (SSCA), adaptability, alignment, visibility, and analytics capability shape supply chain agility (SCA), supply chain resilience (SCR), and sustainable supply chain performance (SSCP) in small and medium enterprises (SMEs). Grounded in the dynamic capabilities view, this research adopts a hybrid analytical framework integrating Structural Equation Modeling (SEM), Artificial Neural Network (ANN), and Fuzzy-Set Qualitative Comparative Analysis (FsQCA) to capture both linear and non-linear, symmetric and asymmetric relationships. Using data from 313 Indonesian SMEs, the findings reveal that SSCA and analytics capability are the most influential predictors of agility, resilience, and sustainable performance. The ANN analysis confirms their non-linear impact, while FsQCA identifies multiple capability configurations leading to high sustainability outcomes. This study extends the dynamic capability theory by embedding sustainability-oriented ambidexterity and offers methodological advancement through a hybrid multi-method approach. From a managerial perspective, the findings underscore the importance of integrating ambidexterity and data analytics to enhance SMEs’ adaptive capacity and long-term sustainability within supply chain systems.</p>

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Sustainable Supply Chain Ambidexterity and SME Sustainable Performance: The Mediating Role of Agility and Resilience – A Hybrid Multi-Method Approach

  • 期刊论文

  • 发表日期：

    2026年1月22日

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  • Rangga Primadasa,
  • Elisa Kusrini,
  • Agus Mansur

摘要

This study investigates how sustainable supply chain ambidexterity (SSCA), adaptability, alignment, visibility, and analytics capability shape supply chain agility (SCA), supply chain resilience (SCR), and sustainable supply chain performance (SSCP) in small and medium enterprises (SMEs). Grounded in the dynamic capabilities view, this research adopts a hybrid analytical framework integrating Structural Equation Modeling (SEM), Artificial Neural Network (ANN), and Fuzzy-Set Qualitative Comparative Analysis (FsQCA) to capture both linear and non-linear, symmetric and asymmetric relationships. Using data from 313 Indonesian SMEs, the findings reveal that SSCA and analytics capability are the most influential predictors of agility, resilience, and sustainable performance. The ANN analysis confirms their non-linear impact, while FsQCA identifies multiple capability configurations leading to high sustainability outcomes. This study extends the dynamic capability theory by embedding sustainability-oriented ambidexterity and offers methodological advancement through a hybrid multi-method approach. From a managerial perspective, the findings underscore the importance of integrating ambidexterity and data analytics to enhance SMEs’ adaptive capacity and long-term sustainability within supply chain systems.