E-educational Customer Satisfaction Barometer and Mechanism

This paper aims to provide new empirical evidence on customer satisfaction degree measurement concerning E-education. The satisfaction degree index for the Chinese networked education is modeled based on modifying ACSI and TAM models. The structural equation acts as a methodology to perform testing for inter-variable relationships and their interactive mechanism. The paper finds stability perception and individual-machine interactive perception exercise a direct, significant consequence on recognition sense, and further recognition sense directly and significantly affects e-customer satisfaction degree. The paper also finds perceived stability is negatively linked to sense of being recognized, revealing poor teaching hard ware facilities. Slowing in the upgrading of hard ware infrastructures has triggered a decline of e-training stability and exerted an adverse impact on learner satisfaction degree. This paper concludes with pointing out proposals and implications.