The impact of the online and offline features on the user acceptance of Internet shopping malls

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dc.contributor.authorAhn, T.ko
dc.contributor.authorRyu, S.ko
dc.contributor.authorHan, Ingooko
dc.date.accessioned2008-04-07T05:27:09Z-
dc.date.available2008-04-07T05:27:09Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2004-
dc.identifier.citationELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, v.3, no.4, pp.405 - 420-
dc.identifier.issn1567-4223-
dc.identifier.urihttp://hdl.handle.net/10203/3678-
dc.description.abstractInternet shopping mall has the dual nature of Web-based application system and traditional shopping mall. This paper explores online and offline features of Internet shopping malls and their relationships with the acceptance behaviors of customers. The results from a Web survey of 932 users show that the technology acceptance model (TAM) is valid in predicting the acceptance of the Internet shopping malls and that online and offline features have positive effects on the user acceptance. Both online and offline features have greater effects on the usefulness, attitude, and intention to use than either online or offline features separately. This study provides a domain-specific, integrative approach in evaluating the quality and antecedents of user acceptance for Internet shopping malls. © 2004 Elsevier B.V. All rights reserved.-
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherElsevier BV-
dc.titleThe impact of the online and offline features on the user acceptance of Internet shopping malls-
dc.typeArticle-
dc.identifier.scopusid2-s2.0-8344254454-
dc.type.rimsART-
dc.citation.volume3-
dc.citation.issue4-
dc.citation.beginningpage405-
dc.citation.endingpage420-
dc.citation.publicationnameELECTRONIC COMMERCE RESEARCH AND APPLICATIONS-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorHan, Ingoo-
dc.contributor.nonIdAuthorAhn, T.-
dc.contributor.nonIdAuthorRyu, S.-
dc.subject.keywordAuthorInternet shopping mall-
dc.subject.keywordAuthorOffline features-
dc.subject.keywordAuthorOnline features-
dc.subject.keywordAuthorTechnology acceptance model-
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