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dc.contributor.authorElian, Ryanen_NZ
dc.description.abstractOnline auctions have been taking place along the lines of traditional auctions. This has been made possible by the internet and web technology. Online communities associated with the online auction websites are thought to be a critical success factor. It is therefore important to identify how an online community supports an online auction website. The objectives of this research are to identify the value of the different activities and needs of the online community in online auction websites, and also the facilities provided by the online auction website to support the needs of the community. This dissertation looks at Trade Me as a local example of an online auction website. An initial observation of this New Zealand online auction website was first conducted to find out the extent of Trade Me’s community and the facilities provided by Trade Me to support its community. This information, together with the results from a literature search, was then used to create research questions for an online survey posted on Trade Me’s discussion board. There were 224 responses to the online survey. The dataset shows that about three quarters of the respondents are females and more than half (56%) are from the younger age group (34 or less). The dataset also shows that respondents have a high need to interact within Trade Me. Further, the dataset finds that various activities are performed by users before and after a trade and that the attitudes of users affect their feedback as traders.en_NZ
dc.subjectOnline auctionsen_NZ
dc.subjectOnline communitiesen_NZ
dc.titleOnline community supporting trading functions in an online auction websiteen_NZ
dc.typeMasters Dissertationen_NZ
dc.rights.holderRyan Elianen_NZ of Computing Systemsen_NZ of Computing and Information Technologyen_NZ Institute of Technologyen_NZ
dc.subject.marsdenInformation, Computing and Communication Sciences (280000)en_NZ
dc.identifier.bibliographicCitationElian, R. (2007). Online community supporting trading functions in an online auction website. Unpublished thesis submitted in partial fulfillment of the degree of Master of Computing Systems, Unitec New Zealand, New Zealand.en_NZ
unitec.supervisorJoyce, Donald|Unitec New Zealanden_NZ
unitec.supervisorMuller, Logan|Unitec New Zealanden_NZ
unitec.institutionUnitec New Zealanden_NZ
unitec.advisor.principalJoyce, Donald
unitec.advisor.associatedMuller, Logan

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