A Business Intelligence Methodology for E-government Reverse Auctions

Rafael Souza, A. Pereira
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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.
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电子政务逆向拍卖的商业智能方法
根据巴西计划、预算和管理部的数据,2008年第一季度,电子逆向拍卖(e-RAs)使巴西政府节省了高达2.7亿美元,占其在此期间收购的87%,而6年前同期为1%。如此重要的工具容易受到欺诈甚至异常行为的影响,而这些行为很难通过对当前系统的简单分析来检测。在本文中,我们期望通过使用商业智能技术来识别电子政府采购系统中的可疑行为。结果证实,我们的方法可以帮助发现有趣的方面,可以用来帮助市场参与者的优柔寡断的支持和拍卖商的管理。
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