Mañana, JUEVES, 24 DE ABRIL, el sistema se apagará debido a tareas habituales de mantenimiento a partir de las 9 de la mañana. Lamentamos las molestias.

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dc.contributor.authorOkazaki, Shintaro 
dc.contributor.otherUAM. Departamento de Financiación e Investigación Comerciales_ES
dc.date.accessioned2016-01-18T13:27:29Z
dc.date.available2016-01-18T13:27:29Z
dc.date.issued2007-04-01
dc.identifier.citationComputers in Human Behavior 23.3 (2007): 1692-1719en_US
dc.identifier.issn0747-5632
dc.identifier.urihttp://hdl.handle.net/10486/669318en
dc.descriptionThis is the author’s version of a work that was accepted for publication in Computers in Human Behavio. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers in Human Behavior 23.3 (2007) DOI http://dx.doi.org/10.1016/j.chb.2006.03.018en_US
dc.description.abstractThis paper attempts to propose a structural model that integrates various factors influencing atti-tude towards wireless banner ads and intention to access them. This model is applied to empirical data of Japanese mobile users sampled in the greater Tokyo area. First, structural equation model-ling is used to test the baseline model. The results show that the model explains mobile users’ perceptual antecedents and consequences well, with all structural paths statistically significant. Second, in the attempt to identify different mobile user groups, a probabilistic cluster analysis is performed. This results in three-cluster groups, consisting of (1) housewives and part-timers, (2) mid-dle-aged white-collar workers and professionals, and (3) students and ‘‘parasite singles’’. Finally, multigroup analysis is used to examine whether the model operates invariantly across the three-clus-ter groups. The results indicate significant differences in the paths associated with consumer innova-tiveness and perceived entertainment between the groups. In closing, managerial implications and future research directions are discussed, while important limitations are recognised.en_US
dc.description.sponsorshipThe author thanks the Yoshida Hideo Memorial Foundation (Tokyo) for their finan- cial support and permission to use the dataseten_US
dc.format.extent29 pag.es
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoengen
dc.relation.ispartofComputers in Human Behavioren_US
dc.rights© 2006 Elsevier Ltd. All rights reserved.en_US
dc.subject.otherAdvertisingen_US
dc.subject.otherConsumer behaviouren_US
dc.subject.otheri-Modeen_US
dc.subject.otherInnovationen_US
dc.subject.otherInterneten_US
dc.subject.otherMobile deviceen_US
dc.titleLessons learned from i-mode: What makes consumers click wireless banner ads?en_US
dc.typearticleen_US
dc.subject.ecienciaEconomíaes_ES
dc.subject.ecienciaEmpresaes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.chb.2006.03.018
dc.identifier.doi10.1016/j.chb.2006.03.018
dc.identifier.publicationfirstpage1692
dc.identifier.publicationissue3
dc.identifier.publicationlastpage1719
dc.identifier.publicationvolume23
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.rights.ccReconocimiento – NoComercial – SinObraDerivadaes_ES
dc.rights.accessRightsopenAccessen_US
dc.authorUAMOkazaki Ono, Shintaro (271225)
dc.facultadUAMFacultad de Ciencias Económicas y Empresariales


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