文献类型： 外文期刊
作者： Shi, Xiaohui 1 ; Chen, Tian'en 1 ;
作者机构： 1.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
2.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
3.Minist Agr, Key Lab Agri Informat, Beijing 100097, Peoples R China
4.Beijing Engn Res Ctr Agr Internet Things, Beijing 100097, Peoples R China
关键词： Tea industry;Information service quality evaluation;Multiple regression;R-cluster
期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE IX, CCTA 2015, PT II
ISSN： 1868-4238
年卷期： 2016 年 479 卷
页码：
收录情况： SCI
摘要： 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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