The Analysis of Innovation Diffusion on the Basis of Social Constructivism with the Use of Text Mining(APCIM2012 Best Papers)
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- TAKEOKA Shiro
- Graduate School of Business, Osaka City University
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- INOUE Yusuke
- Center of Advanced Research and Education, Graduate School of Business, Osaka City University
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- TAKAYANAGI Naoya
- Center of Advanced Research and Education, Graduate School of Business, Osaka City University
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- TAKAGI Shuichi
- Graduate School of Business, Osaka City University
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- OTA Masaharu
- Graduate School of Business, Osaka City University
書誌事項
- タイトル別名
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- The Analysis of Innovation Diffusion on the Basis of Social Constructivism with the Use of Text Mining
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This article examines the diffusion of innovations which resulted in micro social phenomena. As such, it addresses the methodological problem concerning identification of innovation, that is, if innovation is regarded as the cognition of subjective 'new' value, who perceives newness of technologies and products? Combining Actor-network theory and Institutional theory of organizations, we suggest that the diffusion of innovations is a process in which a variety of actors commonalize institutional carriers. Based on this perspective, we analyze online bulletin board for comparing products (Kakaku.com) with Text mining. Lastly, we discuss this analytical method which can support decision making in new product development, and explore needs in the word-of-mouth information on internet such as blogs and SNS.
収録刊行物
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- 日本情報経営学会誌
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日本情報経営学会誌 34 (3), 115-137, 2014
日本情報経営学会
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詳細情報 詳細情報について
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- CRID
- 1390001205290011904
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- NII論文ID
- 110009807085
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- NII書誌ID
- AA12242308
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- ISSN
- 21899681
- 18822614
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- NDL書誌ID
- 025409130
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可