DC FieldValueLanguage
dc.contributor.authorKonstantoulaki, Kleopatra-
dc.contributor.authorMagrizos, Solon-
dc.contributor.authorRizomyliotis, Ioannis-
dc.contributor.authorGiovanis, Apostolos-
dc.date.accessioned2024-02-29T12:57:24Z-
dc.date.available2024-02-29T12:57:24Z-
dc.date.issued2022-08-01-
dc.identifierscopus-85115758387-
dc.identifier.issn02632373-
dc.identifier.other85115758387-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/1267-
dc.description.abstractThis study investigates the adoption of proximity mobile payment services (PMPS) using, for the first time, an extended version of the decomposed theory of planned behaviour (DTPB) and considering both the linear and non-linear relationships depicted in the proposed model. Based on a two-stage hybrid analytic methodology, the proposed model was validated empirically using a sample of 951 participants. First, partial least squares (PLS) regression was used to identify the significant drivers of PMPS acceptance predictors. Artificial neural networks (ANN) were then used to rank the relative influence of the significant adoption drivers obtained in the previous step. The PLS results indicate that the extended DTPB provides a solid theoretical framework for studying the adoption of PMPS. The results of the PLS-ANN sensitivity analysis confirmed the PLS results regarding the importance of the determinants' of normative and controlling customers’ beliefs, although there were some contradictions concerning the determination of customer attitudes and behavioural intentions towards PMPS usage. The results are discussed and implications are offered.en_US
dc.language.isoenen_US
dc.relation.ispartofEuropean Management Journalen_US
dc.subjectConsumer behaviouren_US
dc.subjectDecomposed TPBen_US
dc.subjectMarketing of high-tech m-servicesen_US
dc.subjectNFCen_US
dc.subjectPerceived risken_US
dc.subjectProximity mobile paymenten_US
dc.titleMining the hidden seam of proximity m-payment adoption: A hybrid PLS-artificial neural network analytical approachen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.emj.2021.09.007en_US
dc.identifier.scopus2-s2.0-85115758387-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Early Childhood Education and Careen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume40en_US
dc.relation.issue4en_US
dc.identifier.spage618en_US
dc.identifier.epage631en_US
dc.linkhttps://www.scopus.com/record/display.uri?eid=2-s2.0-85115758387&origin=inward&txGid=34ab6bef2593fbc86e2eef52405cefcfen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldSocial Sciencesen_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeArticle-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Early Childhood Education and Care-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-0481-3637-
crisitem.author.orcid0000-0002-3516-0050-
crisitem.author.orcid0000-0003-1028-146X-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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