Understanding IT Innovations Through Computational Analysis of Discourse

نویسندگان

  • Chia-jung Tsui
  • Ping Wang
  • Kenneth R. Fleischmann
  • Douglas W. Oard
  • Asad B. Sayeed
چکیده

This research is supported in part by the National Science Foundation under Grants IIS-0729459 and SBE-0915645. RESEARCH QUESTION How can the relationships among information technology innovations be described and analyzed in a representative, dynamic, and scalable way? THEORETICAL FRAMEWORK Innovation concepts are interrelated in an idea network, where using an ecological perspective they can be likened to species in a competitive and symbiotic resource space. METHODS We apply discourse analysis to innovation research and apply a computational approach to scale up the analysis. Data: Full-text articles published in InformationWeek, Computerworld, BusinessWeek, The Economist, Newsweek, and US News & World Report (1998-2007) via Lexis/Nexis. Analysis: Apply Kullback-Leibler (KL) divergence to compare language used to describe IT innovations in paragraphs.

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تاریخ انتشار 2009