DC FieldValueLanguage
dc.contributor.authorGiovanis, Apostolos-
dc.contributor.authorAssimakopoulos, Costas-
dc.contributor.authorAthanasopoulou, Pinelopi-
dc.contributor.authorSarmaniotis, Christos-
dc.date.accessioned2024-06-11T13:45:12Z-
dc.date.available2024-06-11T13:45:12Z-
dc.date.issued2019-06-18-
dc.identifierscopus-85061441405-
dc.identifier.issn0265-2323-
dc.identifier.other85061441405-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2522-
dc.description.abstractThe purpose of this paper is to investigate which of four well-established theoretical models (i.e. technology acceptance model, theory of planned behavior, unified theory of acceptance and use of technology, decomposed theory of planned behavior (DTPB)) best explains potential users’ behavioral intentions to adopt mobile banking (MB) services. Drawing on data from 931 potential users in Greece, the structural equation modeling method was used to examine and compare the four models in goodness-of-fit, explanatory power and statistical significance of path coefficients. Results indicate that the best model is an extension of the DTPB with perceived risk (PR). Customers’ attitude, determined by three rationally-evaluated MB attributes (usefulness, easiness and compatibility), is the main driver of consumers’ intentions to adopt MB services. Additionally, consumers’ perceptions of availability of knowledge, resources and opportunities necessary for using the service, and the pressure of interpersonal and external social contexts toward the use of MB are the other two, less important, adoption drivers. Finally, PR negatively affects attitude formation and inhibits willingness to use MB services. Findings can help marketers of financial institutions to select the more parsimonious model to develop appropriate marketing strategies to increase adoption rates of MB services. This is the first study that compares the performance of four well-known innovation adoption models to explain consumers’ behavior in the MB context.en_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Bank Marketingen_US
dc.subjectInnovation adoption models comparisonen_US
dc.subjectM-bankingen_US
dc.subjectOnline consumer behaviouren_US
dc.subjectPerceived risken_US
dc.subjectTechnology-based servicesen_US
dc.titleAdoption of mobile banking services: a comparative analysis of four competing theoretical modelsen_US
dc.typeArticleen_US
dc.identifier.doi10.1108/IJBM-08-2018-0200en_US
dc.identifier.scopus2-s2.0-85061441405-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume37en_US
dc.relation.issue5en_US
dc.identifier.spage1165en_US
dc.identifier.epage1189en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_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 Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0003-1028-146X-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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