Effects of collaborative factors on supply chain performance measurement in Thai frozen shrimp supply chain

Abstract

This research aims to investigate factor affecting and causal relationship of the supply chain collaborative and supply chain performance measurement model for the Thai frozen shrimp chain by using integrated method between a structural equation modeling (SEM) and an analytical network process (ANP), which the method confirmed and proved the construction of the framework and identified causal relationship of supply chain collaboration to the important key performance indicators of the chain from 220 supply chain members' point of views. The result shows a completed SEM model that it represents a path between criteria in each latent variable and also showed factor loading score between SCC and SCPM. The parameter estimation used maximum likelihood estimation and model fitting to evaluate the degree. From the SEM analysis, the CMIN/d f is 0.982 and χ2 = 74. The root mean square error of approximation (RMSEA) was 0.000 at 95% CI, which is less than 0.080. This indicates a good fit and reaches an acceptable level. With a comparative fit index (CFI) of 0.999 and a goodness of fit index (GFI) of 0.958, it represents the overall goodness of fit of the GFI model, which is higher than 0.90. Therefore, the model can be acceptably conceptualized as a causal relationship construct model significantly.