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Article: Maximum Resolution Topology for Online Auction Markets
Title | Maximum Resolution Topology for Online Auction Markets |
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Authors | |
Keywords | Online auctions Topological modeling Market analysis Data mining Visualization Multi‐attribute dichotomy |
Issue Date | 2007 |
Publisher | Routledge. The Journal's web site is located at http://www.tandf.co.uk/journals/routledge/10196781.asp |
Citation | Electronic Markets, 2007, v. 17 n. 2, p. 164-174 How to Cite? |
Abstract | A topological model of an online auction market is a simultaneous graphical display of all the dimensions of its relevant database, providing a geometrical shape as a visually descriptive statistics of the market at any particular instance of its development. In particular, various dimensions were identified for constructing a multi‐attribute dichotomy that can help discern relative advantages to buyers and sellers, using only available, operational data, and without expert knowledge of the items involved or the prices attained. With a reference subset of prejudged cases, the configuration of the dimensions and the angles among them can be optimized for a topology that maximizes the resolution of such dichotomies. The approach is illustrated in a global comparative study of four markets in five countries. It can be a useful tool for data mining and visualization in the design, study, and analysis of online auction markets. |
Persistent Identifier | http://hdl.handle.net/10722/75492 |
ISSN | 2023 Impact Factor: 7.1 2023 SCImago Journal Rankings: 1.671 |
DC Field | Value | Language |
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dc.contributor.author | Ho, JK | en_HK |
dc.contributor.author | Chu, SCK | en_HK |
dc.contributor.author | Lam, SS | en_HK |
dc.date.accessioned | 2010-09-06T07:11:37Z | - |
dc.date.available | 2010-09-06T07:11:37Z | - |
dc.date.issued | 2007 | en_HK |
dc.identifier.citation | Electronic Markets, 2007, v. 17 n. 2, p. 164-174 | en_HK |
dc.identifier.issn | 1019-6781 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/75492 | - |
dc.description.abstract | A topological model of an online auction market is a simultaneous graphical display of all the dimensions of its relevant database, providing a geometrical shape as a visually descriptive statistics of the market at any particular instance of its development. In particular, various dimensions were identified for constructing a multi‐attribute dichotomy that can help discern relative advantages to buyers and sellers, using only available, operational data, and without expert knowledge of the items involved or the prices attained. With a reference subset of prejudged cases, the configuration of the dimensions and the angles among them can be optimized for a topology that maximizes the resolution of such dichotomies. The approach is illustrated in a global comparative study of four markets in five countries. It can be a useful tool for data mining and visualization in the design, study, and analysis of online auction markets. | - |
dc.language | eng | en_HK |
dc.publisher | Routledge. The Journal's web site is located at http://www.tandf.co.uk/journals/routledge/10196781.asp | en_HK |
dc.relation.ispartof | Electronic Markets | en_HK |
dc.subject | Online auctions | - |
dc.subject | Topological modeling | - |
dc.subject | Market analysis | - |
dc.subject | Data mining | - |
dc.subject | Visualization | - |
dc.subject | Multi‐attribute dichotomy | - |
dc.title | Maximum Resolution Topology for Online Auction Markets | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1019-6781&volume=17 &issue=2&spage=164&epage=174&date=2007&atitle=Maximum+Resolution+Topology+for+Online+Auction+Markets | en_HK |
dc.identifier.email | Chu, SCK: schu@hku.hk | en_HK |
dc.identifier.authority | Chu, SCK=rp00685 | en_HK |
dc.identifier.doi | 10.1080/10196780701296485 | - |
dc.identifier.hkuros | 131818 | en_HK |
dc.identifier.eissn | 1422-8890 | - |
dc.identifier.issnl | 1019-6781 | - |