A Hierarchical Structural Model of Waste Transportation Capability and Logistics Performance in an Urban Public Logistics System
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Abstract
This article develops and empirically tests a structural model of Waste Transportation Capability (WTC) and Logistics Performance (LP) within an urban public logistics system, grounded in the Resource-Based View (RBV) and Dynamic Capabilities (DC). Both WTC and LP are conceptualized as formative higher-order constructs. WTC is formed by planning and resource allocation (PRA), operational and route management (ORM), and control and evaluation (CEV). LP is formed by time performance (TIM), cost performance (COS), and quantity performance (QTT). A cross-sectional quantitative design was employed, with data collected from 290 respondents directly involved in municipal waste transportation management in Phra Nakhon Si Ayutthaya Province. Data were analyzed using PLS-SEM under a two-stage hierarchical component modeling approach. The results indicate that all formative dimensions of Waste Transportation Capability (WTC) exhibit statistically significant weights, confirming their appropriate contribution to the formation of a system-level capability. Furthermore, WTC exerts a positive and statistically significant effect on Logistics Performance (LP) (β = 0.380, p < 0.001). The structural model explains 14.4% of the variance in LP (R² = 0.144) and demonstrates acceptable predictive relevance (Q² = 0.142). The effect size of WTC on LP is moderate (f² = 0.169), suggesting that system-level capability plays a practically meaningful role in shaping performance outcomes within urban public logistics systems. These findings support the underlying logic of the Resource-Based View (RBV) and Dynamic Capabilities (DC) frameworks in explaining how organizational capabilities at the local public-sector level contribute to performance outcomes.
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