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文章基本信息

  • 标题:MinEDec: a Decision-Support Model That Combines Text-Mining Technologies with Two Competitive Intelligence Analysis Methods
  • 本地全文:下载
  • 作者:Yue Dai ; Tuomo Kakkonen ; Erkki Sutinen
  • 期刊名称:International Journal of Computer Information Systems and Industrial Management Applications
  • 印刷版ISSN:2150-7988
  • 电子版ISSN:2150-7988
  • 出版年度:2011
  • 卷号:3
  • 页码:165-173
  • 出版社:Machine Intelligence Research Labs (MIR Labs)
  • 摘要:With the development of information technologies, enterprises are working in a complex and dynamic environment. Monitoring the competitive environment and effectively transforming data into knowledge for decision makers are vital competitive powers. In order to monitor and analyse the competitive environment of businesses, we integrate two well-known competitive intelligence analysis methods, the Five Forces Analysis (FFA) and a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis with various text-mining technologies in a decision support model Mining Environment for Decisions (MinEDec). We also outline the architecture of a decision support system that is based on the proposed model.
  • 关键词:decision support system; competitive intelligence; ; text mining; the Five Forces framework; SWOT analysis
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