Abstract
According to characteristics of tea industry information service, this paper have built service quality evaluation index system for tea industry information service quality, R-cluster analysis and multiple regression have been comprehensively used to contribute evaluation model with a high practice and credibility. Proved by the experiment, the evaluation model of information service quality has a good precision, which has guidance significance to a certain extent to enhance the information service quality of tea industry information website.
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Shi, X., & Chen, T. (2016). Evaluation model of tea industry information service quality. In IFIP Advances in Information and Communication Technology (Vol. 479, pp. 320–329). Springer New York LLC. https://doi.org/10.1007/978-3-319-48354-2_33
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