MinEDec: a Decision-Support Model That Combines Text-Mining Technologies with Two Competitive Intelligence Analysis Methods

Authors

  • Yue Dai School of Computing, University of Eastern Finland
  • Tuomo Kakkonen School of Computing, University of Eastern Finland
  • Erkki Sutinen School of Computing, University of Eastern Finland

Keywords:

decision support system, competitive intelligence, text mining, the Five Forces framework, SWOT analysis

Abstract

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.

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Published

2011-01-01

How to Cite

Yue Dai, Tuomo Kakkonen, & Erkki Sutinen. (2011). MinEDec: a Decision-Support Model That Combines Text-Mining Technologies with Two Competitive Intelligence Analysis Methods. International Journal of Computer Information Systems and Industrial Management Applications, 3, 9. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/82

Issue

Section

Original Articles