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dc.contributor.authorHsieh, Tsui-Chuanen_US
dc.contributor.authorYang, Chyanen_US
dc.date.accessioned2014-12-08T15:24:35Z-
dc.date.available2014-12-08T15:24:35Z-
dc.date.issued2011en_US
dc.identifier.isbn978-3-642-23776-8en_US
dc.identifier.issn1867-5662en_US
dc.identifier.urihttp://hdl.handle.net/11536/17043-
dc.description.abstractThe purpose of this article was mainly to investigate gender differences for trendy online behavior patterns. This study applied the latent class analysis model to investigate Internet usage patterns from five trendy online applications among 10,909 Taiwan residents. The results showed that trendy online behavior patterns exhibited gender differences. For instance, females preferred blog service more than males do. Male in general were good at online security issue and mobile service. Gender difference depends on various/heterogeneity application. The findings herein should help Internet service providers form an applicable guideline for developing service strategies of higher service satisfaction between marketing materials, products and users' needs.en_US
dc.language.isoen_USen_US
dc.subjecttrendy online applicationen_US
dc.subjectonline behavioren_US
dc.subjectgender differenceen_US
dc.subjectlatent class analysisen_US
dc.titleResearch on Gender Differences of Trendy Online Behavior Patternsen_US
dc.typeProceedings Paperen_US
dc.identifier.journalADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 1en_US
dc.citation.volume104en_US
dc.citation.spage647en_US
dc.citation.epage652en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000307259200104-
Appears in Collections:Conferences Paper