Bid Shilling Characteristics of Online Auction
碩士 === 國立中正大學 === 資訊管理所 === 94 === According to the Annual Internet Fraud Report of Internet Crime Complaint Center(IC3), among the various kinds of fraud that are occurring in the internet, one type of fraud that is most serious is Internet auction fraud. During 2004, Internet auction fraud was by...
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ndltd-TW-094CCU053960442015-10-13T10:45:18Z http://ndltd.ncl.edu.tw/handle/61729284711171876961 Bid Shilling Characteristics of Online Auction 拍賣網站價格哄抬行為特徵之研究 Chung-Wei Lin 林宗偉 碩士 國立中正大學 資訊管理所 94 According to the Annual Internet Fraud Report of Internet Crime Complaint Center(IC3), among the various kinds of fraud that are occurring in the internet, one type of fraud that is most serious is Internet auction fraud. During 2004, Internet auction fraud was by far the most reported offense, comprising 71.2% of referred fraud complaints.(IC3, 2005). Internet auction fraud is due to faulty auction rule designed by the auction stakeholder and insufficient law. According to the National Consumers’ League, the bid shilling is the hardest to detect within internet auction fraud(Kauffman and Wood, 2003;National Consumer League, 2001). In this research, we adopt questionnaire investigation to examine if these factors are the characteristics of bid shilling. The questionnaire designed was based on auction process and literature review. The conclusions of the study are as followed. (1)Abnormal bidding behavior in bidding process probably is the characteristic of bid shilling. (2)Lower cognitive about average price of auction goods would raise risks of incurring bid shilling. (3)Average short duration of bid time probably is the characteristic of bid shilling. Bid Shilling is the hardest internet auction fraud to detect. This study presents the suggestion about how to avoid bid shilling in the final chapter. Key words: Online auction, Fraud, Bid shilling, Discriminant analysis Jin-sheng Roan 阮金聲 2006 學位論文 ; thesis 87 zh-TW |
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碩士 === 國立中正大學 === 資訊管理所 === 94 === According to the Annual Internet Fraud Report of Internet Crime Complaint Center(IC3), among the various kinds of fraud that are occurring in the internet, one type of fraud that is most serious is Internet auction fraud. During 2004, Internet auction fraud was by far the most reported offense, comprising 71.2% of referred fraud complaints.(IC3, 2005). Internet auction fraud is due to faulty auction rule designed by the auction stakeholder and insufficient law.
According to the National Consumers’ League, the bid shilling is the hardest to detect within internet auction fraud(Kauffman and Wood, 2003;National Consumer League, 2001). In this research, we adopt questionnaire investigation to examine if these factors are the characteristics of bid shilling. The questionnaire designed was based on auction process and literature review. The conclusions of the study are as followed. (1)Abnormal bidding behavior in bidding process probably is the characteristic of bid shilling. (2)Lower cognitive about average price of auction goods would raise risks of incurring bid shilling. (3)Average short duration of bid time probably is the characteristic of bid shilling.
Bid Shilling is the hardest internet auction fraud to detect. This study presents the suggestion about how to avoid bid shilling in the final chapter.
Key words: Online auction, Fraud, Bid shilling, Discriminant analysis
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author2 |
Jin-sheng Roan |
author_facet |
Jin-sheng Roan Chung-Wei Lin 林宗偉 |
author |
Chung-Wei Lin 林宗偉 |
spellingShingle |
Chung-Wei Lin 林宗偉 Bid Shilling Characteristics of Online Auction |
author_sort |
Chung-Wei Lin |
title |
Bid Shilling Characteristics of Online Auction |
title_short |
Bid Shilling Characteristics of Online Auction |
title_full |
Bid Shilling Characteristics of Online Auction |
title_fullStr |
Bid Shilling Characteristics of Online Auction |
title_full_unstemmed |
Bid Shilling Characteristics of Online Auction |
title_sort |
bid shilling characteristics of online auction |
publishDate |
2006 |
url |
http://ndltd.ncl.edu.tw/handle/61729284711171876961 |
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