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dc.contributor.authorChin, Yang-Chiehen_US
dc.contributor.authorChang, Chaio-Chenen_US
dc.contributor.authorLin, Chiun-Sinen_US
dc.contributor.authorTzeng, Gwo-Hshiungen_US
dc.date.accessioned2014-12-08T15:25:52Z-
dc.date.available2014-12-08T15:25:52Z-
dc.date.issued2010en_US
dc.identifier.isbn978-3-642-13528-6en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/11536/18297-
dc.description.abstractMicroblogging is a social media tool that allows users to write short text messages to public and private networks. This research focuses specifically on the microblogging on Facebook. The main purposes of this study are to investigate and compare what recommendation sources influence the intention to use microbloggings and to combine gender, daily internet hour usage and past use experience to infer the usage of microbloggings decision rules using a dominance-based rough-set approach (DRSA). Data for this study were collected from 382 users and potential users. The analysis is grounded in the taxonomy of induction-related activities using DRSA to infer the usage of microbloggings decision rules. Finally, the study of the nature of microblogging reflects essential practical and academic value.en_US
dc.language.isoen_USen_US
dc.subjectMicrobloggingen_US
dc.subjectDominance-based Rough Set Approach (DRSA)en_US
dc.subjectRecommendation sourceen_US
dc.subjectAdoption intentionen_US
dc.titleThe Impact of Recommendation Sources on the Adoption Intention of Microblogging Based on Dominance-based Rough Set Approachen_US
dc.typeArticleen_US
dc.identifier.journalROUGH SETS AND CURRENT TRENDS IN COMPUTING, PROCEEDINGSen_US
dc.citation.volume6086en_US
dc.citation.spage514en_US
dc.citation.epage523en_US
dc.contributor.department管理科學系zh_TW
dc.contributor.departmentDepartment of Management Scienceen_US
dc.identifier.wosnumberWOS:000281605400055-
Appears in Collections:Conferences Paper