The Analysis of Innovation Diffusion with Text Mining(<Special Issue>Linguistic Approach to "Information and Management" Research)
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- TAKEOKA Shiro
- Osaka City University
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- TAKAGI Shuichi
- Osaka City University, Graduate School of Business
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- INOUE Yusuke
- Kyoto University of Foreign Studies
Bibliographic Information
- Other Title
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- テキストマイニングを用いたイノベーションの普及分析(<特集>情報経営への言語的アプローチ)
- テキストマイニングを用いたイノベーションの普及分析
- テキストマイニング オ モチイタ イノベーション ノ フキュウ ブンセキ
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Abstract
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).
Journal
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- Journal of Information and Management
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Journal of Information and Management 35 (1), 72-86, 2014
Japan Society for Information and Management
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Details
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- CRID
- 1390001205290026368
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- NII Article ID
- 110009862972
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- NII Book ID
- AA12242308
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- ISSN
- 21899681
- 18822614
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- NDL BIB ID
- 025844785
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed