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.
9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-479 (Part II), pp.320-329, 2016, Computer and Computing Technologies in Agriculture IX. 〈10.1007/978-3-319-48354-2_33〉
https://hal.inria.fr/hal-01614192
Contributeur : Hal Ifip
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Soumis le : mardi 10 octobre 2017 - 15:42:42
Dernière modification le : mardi 10 octobre 2017 - 15:53:39
Document(s) archivé(s) le : jeudi 11 janvier 2018 - 14:33:35
Xiaohui Shi, Tian’en Chen. Evaluation Model of Tea Industry Information Service Quality. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-479 (Part II), pp.320-329, 2016, Computer and Computing Technologies in Agriculture IX. 〈10.1007/978-3-319-48354-2_33〉. 〈hal-01614192〉
