Mathematical Analysis of Knowledge-Based Integration in Agricultural Supply Chains: A Structural Equation Modeling Approach with Multivariate Statistical Applications
DOI:
https://doi.org/10.1229/tecempresarialjournal.v20i2.574Keywords:
knowledge integration, supply chain sustainability, PLS-SEM validation, digital transformationAbstract
This study presents a mathematical analysis of knowledge-based integration mechanisms in agricultural supply chains using partial least squares structural equation modeling. We examine functional relationships between knowledge integration dimensions and sustainability outcomes through advanced multivariate statistical methods including bootstrapping procedures, discriminant validity testing, and moderation analysis. Data from 186 organizations in Thailand's pineapple industry were analyzed using comprehensive validation techniques. Our framework demonstrates significant positive relationships between knowledge absorption, transformation, and utilization processes and sustainability dimensions, with path coefficients ranging from 0.192 to 0.394. Digital capabilities significantly moderate eight of nine tested relationships. Statistical validation through heterotrait-monotrait ratio analysis and bias-corrected confidence intervals confirms model robustness. This research contributes to applied multivariate analysis in complex organizational systems and demonstrates structural equation modeling utility for understanding multidimensional relationships in real-world contexts.
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