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

机译:合作因素对泰国冷冻虾供应链供应链绩效测量的影响

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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 is 0.982 and χ = 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.
机译:本研究旨在通过在结构方程建模(SEM)与分析网络过程(ANP)之间的集成方法和分析网络过程(ANP)之间的集成方法调查供应链协作和供应链性能测量模型的因素影响和因果关系。方法确认并证明了框架的构建,并确定了供应链合作的因果关系,从220个供应链成员的观点的重要关键绩效指标。结果显示了完整的SEM模型,即它代表每个潜在变量的标准之间的路径,并且还显示SCC和SCPM之间的因子加载分数。参数估计使用最大似然估计和模型拟合来评估程度。从SEM分析,CMIN / D为0.982和χ= 74.近似的均线平均误差为0.000,在95℃下为0.080。这表明合适良好并达到可接受的水平。对于0.999的比较拟合指数(CFI)和0.958的拟合指数(GFI)的良好,它代表了GFI模型的整体良好,高于0.90。因此,该模型可以可接受地概念化为显着的因果关系结构模型。

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