Determining factors contributing to software adoption on a personal level: testing TAM and UTAUT and a new combined model based on the two models

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dc.contributorAalto Universityen
dc.contributorAalto-yliopistofi
dc.contributor.advisorTuunainen, Virpi
dc.contributor.authorRautiainen, Joel
dc.contributor.departmentTieto- ja palvelutalouden laitosfi
dc.contributor.schoolKauppakorkeakoulufi
dc.contributor.schoolSchool of Businessen
dc.date.accessioned2017-12-20T07:53:15Z
dc.date.available2017-12-20T07:53:15Z
dc.date.issued2017
dc.description.abstractThis study uses UTAUT and TAM and a combined model based on them to test, which factors contribute to the adoption of a new software on an employee’s personal level. The data is gathered in a company-wide survey that uses a 7-point Likert scale. Structural equation modeling using partial least squares is applied to the data to find out the causalities between the constructs and to test how well UTAUT and TAM perform. The combined model is created to test how well the two models perform together and whether there are new causalities between the variables. Based on the results, the models partially succeeded to find significant relations between constructs. All the relations in TAM were found significant, whereas half of the relations in UTAUT were not found to be significant. The majority of the relations presented in the combined model we found significant. This study suggests that UTAUT and TAM can be used to assess the adoption process of a new technology, but using new variables and different frameworks would be in the benefit of the field of technology adoption research.en
dc.ethesisid16085
dc.format.extent79
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/29518
dc.identifier.urnURN:NBN:fi:aalto-201712208316
dc.language.isoenen
dc.locationP1 Ifi
dc.programmeInformation and Service Management (ISM)en
dc.subject.helecontietotalousfi
dc.subject.heleconteknologiafi
dc.subject.heleconinnovaatiotfi
dc.subject.heleconohjelmistotfi
dc.subject.heleconkäytettävyysfi
dc.subject.heleconmallitfi
dc.subject.keywordtechnology adoptionen
dc.subject.keywordinnovation adoptionen
dc.subject.keywordsoftware adoptionen
dc.subject.keywordTAMen
dc.subject.keywordUTAUTen
dc.titleDetermining factors contributing to software adoption on a personal level: testing TAM and UTAUT and a new combined model based on the two modelsen
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotMaisterin opinnäytefi
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