Quantitative assessment of supply chain performance drivers through structural equation modelling approach

Area of Science:

• Agri-food supply chain management
• Operations and supply chain research
• Regional economic development

Background:

• The processed fruit and vegetable sector in Jammu and Kashmir (J&K) faces unique challenges due to perishability and geographic limitations.
• Empirical research on supply chain performance in this specific region is limited.
• Understanding performance drivers is crucial for economic development in horticulture-dominated areas.

Purpose of the Study:

• To investigate factors influencing supply chain performance in the J&K processed fruit and vegetable sector.
• To evaluate the mediating role of sustainable supply chain practices.
• To provide empirical insights for enhancing supply chain resilience and competitiveness.

Main Methods:

• Utilized Resource-Based View and Dynamic Capabilities Theory.
• Collected primary data from 146 fruit and vegetable processing enterprises via structured questionnaires.
• Employed covariance-based structural equation modeling (SEM) and confirmatory factor analysis (CFA) for data analysis.

Main Results:

• Logistics, procurement, responsiveness, integration, flexibility, information technology, and communication all positively impact supply chain performance.
• Sustainable supply chain practices were found to partially mediate these relationships.
• All examined enablers demonstrated significant positive effects on operational outcomes.

Conclusions:

• Strategic enablers significantly enhance supply chain performance in perishable agri-food sectors.
• Sustainable practices are vital for mediating and improving operational outcomes.
• Findings offer practical strategies for policymakers and stakeholders to bolster resilience and competitiveness in challenging regions.