Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/67381
題名: Using Data Mining for Analyzing Experiential Marketing in Blogs
作者: 許志堅
Chen, Fu-Mei ; Li, Yan-Ze ; Sheu, Jyh-Jian ; Yang, Wei-Pang
貢獻者: 傳播學院
關鍵詞: experiential marketing, Blog, data mining, Internet Marketing.
日期: 2008
上傳時間: 8-Jul-2014
摘要: This paper will focus on analyzing the experiential marketing in Blogs by using data mining techniques. The analysis of this research will be based on data collected from questionnaires and the correlation analysis between the factors from five experiential marketing modules, Internet involvement degree, demographic variables and customers’ loyalty and praise. The results show that, firstly, female bloggers are more impressed by think experiential module than male bloggers, and male bloggers are more impressed by act experiential module than female bloggers. Secondly, the sense experiential module will affect the visiting willingness of bloggers. Thirdly, the sense and relate experiential module will influence the loyalty and praise of bloggers. Finally, if we emphasis the marketing factors in act and relate experiential module, it will attract more visit from bloggers with high loyalty and praise. The major contribution of this research is to outline the factors that affect the integration of experiential marketing and Blogs for Internet marketing.
關聯: Journal of Internet Technology, 9(4), 421-430
資料類型: article
Appears in Collections:期刊論文

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