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The Research of Applying E-Learning in Green Supply Chain Management
Green Supply Chain Management(GSCM)
Technology Acceptance Model(TAM)
Structrual Equation Modeling(SEM)
As the world has been paying increased attention on environmental protection and green consumption, the European Union started in 2003 to announce and put several directives in effect, including the Waste Electrical and Electronic Equipment Directive (WEEE), the Restriction of Hazardous Substances Directive (RoHS) and the Eco-design of Energy-using Products (EuP). These directives were enforced to push industrial communities to focus on the impacts of products to the environment during their life cycles. To ensure that the final products meet international environmental criteria, green supply chain management is inevitable. Particularly, corporations have to ask their suppliers to carry out green training, so that there is a standard for each link of the supply chain in their production processes. Chi Mei Optoelectronics, the fourth largest LCD manufacturer in the world, has established the “Green supply chain knowledge network” with the assistance of Institute for Information Industry of Taiwan, and became the first LCD manufacturer in the world that had adopted e-learning. The network provides education and training for the engineers of Chi Mei Optoelectronics’s suppliers and leads its enormous supply chain system into an era of e-learning. In this Study, the researcher not only analyzed the current state, benefits and obstacles of applying E-Learning in green supply chain management by way of case study but also developed a structured model which based on Technology Acceptance Model and applied Structural Equation Modeling(SEM) method to proceed empirical study. Study founded that filling out the Eco-profile, ban/restricted substances, concept of green standard, and instruction of using the supplier management system are major contents in the online course. Besides, online learning improved the efficiency of green supply chain management, reduced the training cost and enhanced the advantages of orders. It was contributive to new employee training, position transformation, information delivering and reducing the error rate for the work. In particular, e-learning also breaks through the limitations of time and space. However, effectiveness of e-learning will be influenced by the gap between theory and operation, online learning system limitations, and hardware efficiency. In addition, empirical analysis results showed that “Information Quality” had a significant positive impact on “Perceived Ease of Use”, and “Perceived Ease of Use” also had a significant positive impact on “Perceived Usefulness”.
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