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Customer behavior in electronic commerce : a bayesian approach

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dc.contributor.authorDakduk, Silvanaspa
dc.contributor.authorter Horst, Enriquespa
dc.contributor.authorSantalla-Banderali, Zuleimaspa
dc.contributor.authorMolina, Germánspa
dc.contributor.authorMalavé, Joséspa
dc.contributor.orcidDakduk, Silvana [0000-0003-4700-5354]
dc.contributor.orcidter Horst, Enrique [0000-0001-5153-1475]
dc.contributor.orcidSantalla Banderali, Zuleima [0000-0003-0556-4967]
dc.contributor.orcidMolina, Germán [0000-0003-4693-6907]
dc.contributor.orcidMalavé, José [0000-0002-8801-9165]
dc.contributor.scopusDakduk, Silvana [36187758500]
dc.contributor.scopuster Horst, Enrique [25655619900]
dc.contributor.scopusSantalla Banderali, Zuleima [6507986262]
dc.contributor.scopusMolina, Germán [15728099800]
dc.contributor.scopusMalavé, José [36986634500]
dc.date.accessioned2023-06-21T22:23:08Z
dc.date.available2023-06-21T22:23:08Z
dc.date.issued2017-05
dc.description.abstractenglishOnline shopping has increasingly replaced traditional retail shopping, as a large number of consumers have adopted it on a global scale. However, while it is well established in developed countries, e-commerce is still at an early stage in emerging markets, hence there is a need to unveil which factors contributes to its adoption. The main objective of this study is to integrate the theory of planned behavior, the theory of reasoned action, and the technology acceptance model using a Bayesian approach to determine the key predictors of online purchase intention among internet users in Colombia. The results demonstrate the pertinence of the theory of reasoned action and technology acceptance model, models to explain online purchase intention, confirming that the intention to purchase online is mostly determined by the attitudes to e-commerce which, in turn, are explained by perceived usefulness, perceived ease of use, and the subjective norm related to online shopping.eng
dc.description.orcidhttps://orcid.org/0000-0003-4700-5354
dc.description.orcidhttps://orcid.org/0000-0001-5153-1475
dc.description.orcidhttps://orcid.org/0000-0003-0556-4967
dc.description.orcidhttps://orcid.org/0000-0003-4693-6907
dc.description.orcidhttps://orcid.org/0000-0002-8801-9165
dc.description.scopushttps://www.scopus.com/authid/detail.uri?authorId=36187758500
dc.description.scopushttps://www.scopus.com/authid/detail.uri?authorId=25655619900
dc.description.scopushttps://www.scopus.com/authid/detail.uri?authorId=6507986262
dc.description.scopushttps://www.scopus.com/authid/detail.uri?authorId=15728099800
dc.description.scopushttps://www.scopus.com/authid/detail.uri?authorId=36986634500
dc.identifier.doihttps://doi.org/10.4067/S0718-18762017000200002
dc.identifier.eissn0718-1876
dc.identifier.instnameinstname:Colegio de Estudios Superiores de Administración – CESA
dc.identifier.reponamereponame:Biblioteca Digital – CESA
dc.identifier.repourlrepourl:https://repository.cesa.edu.co/
dc.identifier.urihttp://hdl.handle.net/10726/5103
dc.language.isoeng
dc.publisherMDPI AG
dc.relation.citationissue2
dc.relation.citationvolume12
dc.relation.ispartofjournalJournal of Theoretical and Applied Electronic Commerce Research
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2
dc.rights.localAbierto (Texto Completo)
dc.subject.proposalIntention
dc.subject.proposalAttitude
dc.subject.proposalInternet
dc.subject.proposalE-purchase
dc.subject.proposalE-commerce
dc.subject.proposalE-customers
dc.subject.proposalBayesian
dc.subject.proposalMCMC
dc.titleCustomer behavior in electronic commerce : a bayesian approacheng
dc.typearticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversionhttp://purl.org/coar/version/c_71e4c1898caa6e32
dc.type.driverinfo:eu-repo/semantics/article
dc.type.redcolhttp://purl.org/redcol/resource_type/ART
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

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