Selling Books Online: An Evaluation of Australian and Swiss E-Shops

dc.accessRightsAnonymous
dc.audienceSonstige
dc.contributor.authorLeimstoll, Uwe
dc.contributor.authorKurnia, Sherah
dc.contributor.authorSchubert, Petra
dc.date.accessioned2015-10-05T15:42:20Z
dc.date.available2015-10-05T15:42:20Z
dc.date.issued2005
dc.description.abstractThe Extended Web Assessment Method (EWAM) is an evaluation tool specifically created for the assessment of electronic commerce applications. One of the oldest evaluation methods of its kind, EWAM has been revised and improved over the years. The method is based on an evaluation grid that includes a set of criteria with which to appraise the quality and success of e-commerce applications. The focus is on consumer perspectives and the specific features of the Internet as a medium. In this paper, we used the EWAM tool for the comparative analysis of Australian and Swiss Web sites in the retail sector, more specifically for the evaluation of e-shops whose main business is selling books. The findings show that most of the Web sites assessed do not fully meet the expectations of consumers.
dc.event18th Bled eConference, eIntegration in Action
dc.identifier.urihttp://hdl.handle.net/11654/9614
dc.identifier.urihttps://doi.org/10.26041/fhnw-3275
dc.language.isodeen_US
dc.relation.ispartofProceedings of the 18th Bled eConference, eIntegration in Action
dc.spatialBled
dc.subjectE-Business
dc.subjectE-Shop
dc.subjectWeb Assessment
dc.subject.ddc330 - Wirtschaft
dc.subject.ddc005 - Computer Programmierung, Programme und Daten
dc.titleSelling Books Online: An Evaluation of Australian and Swiss E-Shops
dc.type04B - Beitrag Konferenzschrift
dspace.entity.typePublication
fhnw.InventedHereunbekannt
fhnw.ReviewTypeNo peer review
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutInstitut für Wirtschaftsinformatikde_CH
fhnw.publicationStatePublished
relation.isAuthorOfPublication76b2ccad-9010-4401-8d17-449aaa516ea6
relation.isAuthorOfPublication.latestForDiscovery76b2ccad-9010-4401-8d17-449aaa516ea6
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