Evaluation Model of Tea Industry Information Service Quality

Conference object English OPEN
Shi , Xiaohui ; Chen , Tian’en (2015)
  • Publisher: HAL CCSD
  • Related identifiers: doi: 10.1007/978-3-319-48354-2_33
  • Subject: Tea industry | Information service quality evaluation | [ INFO ] Computer Science [cs] | R-cluster | Multiple regression

International audience; 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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