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Article: CI Spider: A tool for competitive intelligence on the Web

TitleCI Spider: A tool for competitive intelligence on the Web
Authors
KeywordsCompetitive Intelligence
Document Clustering
Experimental Research
Internet Searching And Browsing
Internet Spider
Noun Phrasing
Issue Date2002
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/dss
Citation
Decision Support Systems, 2002, v. 34 n. 1, p. 1-17 How to Cite?
AbstractCompetitive Intelligence (CI) aims to monitor a firm's external environment for information relevant to its decision-making process. As an excellent information source, the Internet provides significant opportunities for CI professionals as well as the problem of information overload. Internet search engines have been widely used to facilitate information search on the Internet. However, many problems hinder their effective use in CI research. In this paper, we introduce the Competitive Intelligence Spider, or CI Spider, designed to address some of the problems associated with using Internet search engines in the context of competitive intelligence. CI Spider performs real-time collection of Web pages from sites specified by the user and applies indexing and categorization analysis on the documents collected, thus providing the user with an up-to-date, comprehensive view of the Web sites of user interest. In this paper, we report on the design of the CI Spider system and on a user study of CI Spider, which compares CI Spider with two other alternative focused information gathering methods: Lycos search constrained by Internet domain, and manual within-site browsing and searching. Our study indicates that CI Spider has better precision and recall rate than Lycos. CI Spider also outperforms both Lycos and within-site browsing and searching with respect to ease of use. We conclude that there exists strong evidence in support of the potentially significant value of applying the CI Spider approach in CI applications. © 2002 Elsevier Science B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/177904
ISSN
2015 Impact Factor: 2.604
2015 SCImago Journal Rankings: 2.262
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChen, Hen_US
dc.contributor.authorChau, Men_US
dc.contributor.authorZeng, Den_US
dc.date.accessioned2012-12-19T09:40:46Z-
dc.date.available2012-12-19T09:40:46Z-
dc.date.issued2002en_US
dc.identifier.citationDecision Support Systems, 2002, v. 34 n. 1, p. 1-17en_US
dc.identifier.issn0167-9236en_US
dc.identifier.urihttp://hdl.handle.net/10722/177904-
dc.description.abstractCompetitive Intelligence (CI) aims to monitor a firm's external environment for information relevant to its decision-making process. As an excellent information source, the Internet provides significant opportunities for CI professionals as well as the problem of information overload. Internet search engines have been widely used to facilitate information search on the Internet. However, many problems hinder their effective use in CI research. In this paper, we introduce the Competitive Intelligence Spider, or CI Spider, designed to address some of the problems associated with using Internet search engines in the context of competitive intelligence. CI Spider performs real-time collection of Web pages from sites specified by the user and applies indexing and categorization analysis on the documents collected, thus providing the user with an up-to-date, comprehensive view of the Web sites of user interest. In this paper, we report on the design of the CI Spider system and on a user study of CI Spider, which compares CI Spider with two other alternative focused information gathering methods: Lycos search constrained by Internet domain, and manual within-site browsing and searching. Our study indicates that CI Spider has better precision and recall rate than Lycos. CI Spider also outperforms both Lycos and within-site browsing and searching with respect to ease of use. We conclude that there exists strong evidence in support of the potentially significant value of applying the CI Spider approach in CI applications. © 2002 Elsevier Science B.V. All rights reserved.en_US
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/dssen_US
dc.relation.ispartofDecision Support Systemsen_US
dc.subjectCompetitive Intelligenceen_US
dc.subjectDocument Clusteringen_US
dc.subjectExperimental Researchen_US
dc.subjectInternet Searching And Browsingen_US
dc.subjectInternet Spideren_US
dc.subjectNoun Phrasingen_US
dc.titleCI Spider: A tool for competitive intelligence on the Weben_US
dc.typeArticleen_US
dc.identifier.emailChau, M: mchau@hkucc.hku.hken_US
dc.identifier.authorityChau, M=rp01051en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/S0167-9236(02)00002-7en_US
dc.identifier.scopuseid_2-s2.0-0036885533en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0036885533&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume34en_US
dc.identifier.issue1en_US
dc.identifier.spage1en_US
dc.identifier.epage17en_US
dc.identifier.isiWOS:000179230300001-
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridChen, H=8871373800en_US
dc.identifier.scopusauthoridChau, M=7006073763en_US
dc.identifier.scopusauthoridZeng, D=7102694556en_US
dc.identifier.citeulike11527697-

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