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1、DecisionSupportSystems50(2011)743–754ContentslistsavailableatScienceDirectDecisionSupportSystemsMiningcomparativeopinionsfromcustomerreviewsforCompetitiveIntelligencea,⁎,StephenShaoyiLiaoabaKaiquanXu,JiexunLi,YuxiaSongaDepartmentofInformationSystems,CityUniversityofHo
2、ngKong,Kowloon,HongKongSAR,HongKongbCollegeofInformationScienceandTechnology,DrexelUniversity,Philadelphia,PA19104,USAarticleinfoabstractAvailableonline19August2010CompetitiveIntelligenceisoneofthekeyfactorsforenterpriseriskmanagementanddecisionsupport.However,thefunc
3、tionsofCompetitiveIntelligenceareoftengreatlyrestrictedbythelackofsufficientKeywords:informationsourcesaboutthecompetitors.WiththeemergenceofWeb2.0,thelargenumbersofcustomer-Opinionmininggeneratedproductreviewsoftencontaininformationaboutcompetitorsandhavebecomeanewsou
4、rceofEnterpriseriskmanagementminingCompetitiveIntelligence.Inthisstudy,weproposedanovelgraphicalmodeltoextractandvisualizeCompetitiveIntelligencecomparativerelationsbetweenproductsfromcustomerreviews,withtheinterdependenciesamongrelationstakenintoconsideration,tohelpe
5、nterprisesdiscoverpotentialrisksandfurtherdesignnewproductsandmarketingstrategies.OurexperimentsonacorpusofAmazoncustomerreviewsshowthatourproposedmethodcanextractcomparativerelationsmoreaccuratelythanthebenchmarkmethods.Furthermore,thisstudyopensadoortoanalyzingtheri
6、chconsumer-generateddataforenterpriseriskmanagement.1.IntroductionsufficientandreliableinformationsourcesaboutcompetitorsgreatlyrestrictsthecapabilityofCI.CompetitiveIntelligence(CI)involvestheearlyidentificationofWiththeemergenceofWeb2.0,anincreasingnumberofpotentialri
7、sksandopportunitiesbygatheringandanalyzingcustomersnowhaveopportunitiestodirectlyexpresstheiropinionsinformationabouttheenvironmenttosupportmanagersinmakingandsentimentsregardingproductsthroughvariouschannels,suchasstrategicdecisionsforanenterprise[33].Mostfirmsrealize
8、theonlineshoppingsites,blogs,socialnetworksites,forums,andsoforth.importanceofCIinenterpriseriskmanagementanddecisionsupport