Establishment and Application of Competitive Intelligence System in China

Author

Guo, Weidong

Author_Institution

Capital Univ. of Econ. & Bus., Beijing, China

Volume

1

fYear

2008

fDate

20-22 Dec. 2008

Firstpage

279

Lastpage

283

Abstract

Competitive intelligence plays important role in enterprises competitive strategy and decision support. Based on previous questionnaire survey work, the demand analysis of competitive intelligence system of Chinese enterprises is made from the following four aspects: information demand, organization demand, technology demand and harmony demand. Subsequently, we designed the framework model of the competitive intelligence system, the organization model, layer structure model, functional modules model, data flow model, network structure model and platform management rules for Chinese enterprises in this paper, and provide an analysis of several emergent text mining, Web mining and visualization-based CI tools, which are specific to collection and analysis of competitive intelligence.

Keywords

competitive intelligence; data mining; decision support systems; China; Chinese enterprises; Web mining; competitive intelligence system; data flow model; decision support; enterprise competitive strategy; functional modules model; harmony demand; information demand; layer structure model; network structure model; organization demand; organization model; platform management rules; technology demand; text mining; visualization-based CI tools; Companies; Competitive intelligence; Data visualization; Educational institutions; Information analysis; Information technology; Intelligent networks; Social network services; Text mining; Web mining; Competitive intelligence system; framework model; layer structure model; web mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3497-8

Type

conf

DOI

10.1109/IITA.2008.69

Filename

4739579