{"title":"A Business Intelligence Methodology for E-government Reverse Auctions","authors":"Rafael Souza, A. Pereira","doi":"10.1109/CEC.2009.37","DOIUrl":null,"url":null,"abstract":"In the first quarter of year 2008, electronic reverseauctions (e-RAs) allowed the Brazilian Government tosave up to US$ 270 million, which account for 87% ofits acquisitions in the period, against 1% in the sameperiod 6 years earlier – according to the Ministry ofPlanning, Budget and Management. A tool of suchimportance is subjected to fraud or even anomalousbehaviors, which are difficult to detect with simpleanalysis over the current system. In this paper we lookforward into identifying suspicious behaviors in egovernmentprocurement systems, through the use ofbusiness intelligence techniques. The results confirmthat our methodology can help discovering interestingaspects that can be used to help market players indecision support and auctioneer’s management.","PeriodicalId":384060,"journal":{"name":"2009 IEEE Conference on Commerce and Enterprise Computing","volume":"219 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Conference on Commerce and Enterprise Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEC.2009.37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In the first quarter of year 2008, electronic reverseauctions (e-RAs) allowed the Brazilian Government tosave up to US$ 270 million, which account for 87% ofits acquisitions in the period, against 1% in the sameperiod 6 years earlier – according to the Ministry ofPlanning, Budget and Management. A tool of suchimportance is subjected to fraud or even anomalousbehaviors, which are difficult to detect with simpleanalysis over the current system. In this paper we lookforward into identifying suspicious behaviors in egovernmentprocurement systems, through the use ofbusiness intelligence techniques. The results confirmthat our methodology can help discovering interestingaspects that can be used to help market players indecision support and auctioneer’s management.