The Analysis of Innovation Diffusion on the Basis of Social Constructivism with the Use of Text Mining(APCIM2012 Best Papers)

DOI
  • TAKEOKA Shiro
    Graduate School of Business, Osaka City University
  • INOUE Yusuke
    Center of Advanced Research and Education, Graduate School of Business, Osaka City University
  • TAKAYANAGI Naoya
    Center of Advanced Research and Education, Graduate School of Business, Osaka City University
  • TAKAGI Shuichi
    Graduate School of Business, Osaka City University
  • OTA Masaharu
    Graduate School of Business, Osaka City University

Bibliographic Information

Other Title
  • The Analysis of Innovation Diffusion on the Basis of Social Constructivism with the Use of Text Mining

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Abstract

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.

Journal

Details

  • CRID
    1390001205290011904
  • NII Article ID
    110009807085
  • NII Book ID
    AA12242308
  • DOI
    10.20627/jsim.34.3_115
  • ISSN
    21899681
    18822614
  • NDL BIB ID
    025409130
  • Text Lang
    en
  • Data Source
    • JaLC
    • NDL
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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