著者

竹岡 志朗 高木 修一 井上 祐輔

出版者

日本情報経営学会

雑誌

日本情報経営学会誌 (ISSN:18822614)

巻号頁・発行日

vol.35, no.1, pp.72-86, 2014

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This article examines the diffusion of innovations that resulted in micro social phenomena. We use text mining to analyze online bulletin boards (kakaku.com). Lastly, we discuss an analytical method that can support decision-making in new-product development, and explore the needs of word-of-mouth data on the Internet, such as blogs and social networking sites (SNS).