教師資料查詢 | 類別: 期刊論文 | 教師: 廖述賢 LIAO SHU-HSIEN (瀏覽個人網頁)

標題:Mining User Knowledge for Investigating the Facebook Business Model: The Case of Taiwan Users
學年103
學期1
出版(發表)日期2014/08/01
作品名稱Mining User Knowledge for Investigating the Facebook Business Model: The Case of Taiwan Users
作品名稱(其他語言)
著者Liao, Shu-Hsien; Hsian, Pei-Yuan; Wu, Guo-Liang
單位淡江大學管理科學學系
出版者Philadelphia: Taylor &; Francis Inc.
著錄名稱、卷期、頁數Applied Artificial Intelligence 28(7), pp.712-736
摘要Social network sites (SNS), as web-based services, allow users to make open or semi-open profiles within the systems they are part of, to see lists of other people in the group and to see the relations of people within different groups. Facebook is essentially an online social network site in which individuals can share photographs, personal information, and join groups of friends. This study investigates the experiences on Facebook of various users in Taiwan. Their degrees of confidence were often demonstrated by word-of-mouth disseminations about the social network site. Further, this research looks at how the reputations of Facebook proprietors and their affiliates were disseminated through relationship marketing for formulated social network marketing in its business model concerns. Therefore, this study uses the a priori algorithm as an association rules approach, and cluster analysis for data mining. We divide Facebook users into two groups of contributors and lurkers by their profiles and then find each group’s social network community information utilization and online purchase behaviors for investigating the Facebook business models.
關鍵字
語言英文(美國)
ISSN0883-9514
期刊性質國外
收錄於SCI;
產學合作
通訊作者Liao, Shu-Hsien
審稿制度
國別美國
公開徵稿
出版型式,紙本
相關連結
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