DC FieldValueLanguage
dc.contributor.authorGiovanis, Apostolos-
dc.date.accessioned2024-06-14T12:49:02Z-
dc.date.available2024-06-14T12:49:02Z-
dc.date.issued2011-
dc.identifiergoogle_scholar-In1YXmwAAAAJ:0EnyYjriUFMC-
dc.identifier.isbn978-9963-711-01-7-
dc.identifier.otherIn1YXmwAAAAJ:0EnyYjriUFMC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2551-
dc.description.abstractThis study develops and validates an extended model to predict internet users’ intentions to buy online using a Business-to-Consumer (B2C) e-commerce platform, based on the Technology Acceptance Model (TAM). TAM has been introduced and applied as a reliable and robust model for predicting users’ adoption determinants of different technologies. However, researchers usually integrate additional constructs to the original model in order to improve its predictive power. Hence, in the proposed model, in addition to ease of use and usefulness, compatibility with the technology, an element of Innovation Diffusion Theory (IDT), and perceived risk are also proposed to be considered as determinants of customers’ attitudes and intentions toward on-line shopping acceptance. The model was validated using data collected from 931 internet users and analyzed using Partial Least Squares Path Modeling technique (PLS-PM). The results provided substantial support for all the proposed hypotheses and showed the significance of the extended constructs. The implications of the results to both researchers and practitioners are discussed at the end of the paper.en_US
dc.language.isoenen_US
dc.relation.ispartof4th Annual EuroMed Conference of the EuroMed Academy of Business: Conference Readings Book Proceedingsen_US
dc.source4th Annual EuroMed Conference of the EuroMed Academy of Business, 723-737, 2011-
dc.subjectE-commerce in Greeceen_US
dc.subjectAdoption intentionsen_US
dc.subjectTechnology acceptance modelen_US
dc.subjectInnovation diffusionen_US
dc.subjectPerceived risken_US
dc.titlePredicting greek internet user's intentions to use online shopping: empirical evidence using an extended technology acceptance modelen_US
dc.typeConference Paperen_US
dc.relation.conference4th Annual EuroMed Conference of the EuroMed Academy of Business "Business Research Challenges in a Turbulent Era", 20-21 October 2011 Crete, Greeceen_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage723en_US
dc.identifier.epage737en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
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-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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