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Developing Reverse Logistics Practices Solutions Model Using Structural Equation Modeling

机译:使用结构方程建模开发反向物流实践解决方案模型

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Reverse logistics (RL) become one of the key strategy of supply chain management in the present which focus on reducing environmental impacts and also recapturing value from end of life products/return products from point of consumption to create more profits to the businesses. Many companies try to apply the concept of RL to improve the efficiency of supply chain management and response to demand changing of the customers which more focus on the environmental friendly products. However, the companies still faced some barriers from RL practices implementation. Therefore, the objectives of this study aim investigate the RL practices solutions of Thai's electronics industry by using structural equation modeling (SEM) which exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to examine the proposed model.
机译:反向物流(RL)成为当前供应链管理的关键策略之一,专注于降低环境影响,并从消费点从生命的终止产品/返回产品中恢复价值,为企业创造更多利润。许多公司试图应用RL的概念,以提高供应链管理的效率,并对客户更加注重环境友好产品的需求变化。但是,公司仍然面临着rl实践实施的一些障碍。因此,本研究的目的目的通过使用结构方程模型(SEM)来调查泰国电子工业的RL实践解决方案(SEM),探索性因子分析(EFA)和确认因子分析(CFA)用于检查所提出的模型。

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