Journal of Information and Management
Online ISSN : 2189-9681
Print ISSN : 1882-2614
ISSN-L : 1882-2614
The Analysis of Innovation Diffusion with Text Mining(<Special Issue>Linguistic Approach to "Information and Management" Research)
Shiro TAKEOKAShuichi TAKAGIYusuke INOUE
Author information
JOURNAL FREE ACCESS

2014 Volume 35 Issue 1 Pages 72-86

Details
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).
Content from these authors
© 2014 Japan Society for Information and Management
Previous article Next article
feedback
Top