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dc.contributor.advisorZhang, Yixin
dc.contributor.authorKhudaibergenova, Kamila
dc.date.accessioned2017-11-13T18:04:07Z
dc.date.available2017-11-13T18:04:07Z
dc.date.issued2017
dc.identifier.otheroai:jykdok.linneanet.fi:1792993
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/55855
dc.description.abstractSmart card technology is certainly not new; it has been widely implemented in public transportation in many countries. It is considered as a permanent and efficient fare collection system, which allows to enhance planning and management activities of transport authorities and optimize vehicle supply in accordance with the passenger demand. Overall, smart cards are considered to improve user perceptions regarding public transportation, lead to changes in individuals’ travel behavior and, consequently, decrease amount of private vehicles in transit. However, successful implementation of new fare collection system largely depends on its wide user adoption. Therefore, this study focuses on identification of factors that influence user intention to adopt smart cards in public transit sector. Development of the research model was based on several technology acceptance theories: Theory of Reasoned Action (TRA), Technology Acceptance Model (TAM), Innovation Diffusion Theory (IDT) and Unified Theory of Acceptance and Use of Technology2 (UTAUT2). The proposed model incorporated perceived usefulness, perceived ease of use, relative advantage, social influence, habit, security, transparency and trust as major predictors of the new system acceptance. Age, gender, education, media exposure, computer self-efficacy, smartphone and Internet use were included as control variables. The study results showed that habit, economic profitability dimension of relative advantage and trust played predominant role in individuals’ intention to adopt smart cards. While, transparency favorably influenced user trust in vendor. Surprisingly, none of the TAM predictors influenced passengers’ intention to adopt the system. Effect of social influence and users’ security concerns were also insignificant. Out of seven control variables only smart card media exposure and smartphone use duration were found to be influencing behavioral intention. Overall, the proposed model explained 54% of variance in user intention to accept smart cards.en
dc.format.extent1 verkkoaineisto (74 sivua)
dc.language.isoeng
dc.rightsJulkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.fi
dc.rightsThis publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.en
dc.subject.othersmart cards
dc.subject.otherpublic transportation
dc.subject.othertechnology adoption
dc.subject.otheruser acceptance
dc.subject.otherTheory of reasoned action (TRA)
dc.subject.otherTechnology acceptance model (TAM/TAM2)
dc.subject.otherInnovation diffusion theory (IDT)
dc.subject.otherUnified theory of acceptance and use of technology (UTAUT/UTAUT2)
dc.titleConsumer acceptance of smart cards in public transportation
dc.identifier.urnURN:NBN:fi:jyu-201711134242
dc.type.ontasotPro gradufi
dc.type.ontasotMaster's thesisen
dc.contributor.tiedekuntaInformaatioteknologian tiedekuntafi
dc.contributor.tiedekuntaFaculty of Information Technologyen
dc.contributor.laitosInformation Technologyen
dc.contributor.laitosTietojenkäsittelytieteiden laitos
dc.contributor.yliopistoUniversity of Jyväskyläen
dc.contributor.yliopistoJyväskylän yliopistofi
dc.contributor.oppiaineTietojärjestelmätiedefi
dc.subject.methodSurvey-tutkimus
dc.subject.methodKvantitatiivinen tutkimus
dc.date.updated2017-11-13T18:04:08Z
dc.rights.accesslevelrestrictedAccessfi
dc.contributor.oppiainekoodi601
dc.subject.ysoälytekniikka
dc.subject.ysotoimikortit
dc.subject.ysojulkinen liikenne
dc.subject.ysokuluttajakäyttäytyminen
dc.subject.ysoteknologia
dc.subject.ysoomaksuminen
dc.subject.ysokäyttöönotto
dc.rights.accessrightsAineistoon pääsyä on rajoitettu tekijänoikeussyistä. Aineisto on luettavissa Jyväskylän yliopiston kirjaston arkistotyöasemalta. Ks. https://kirjasto.jyu.fi/kokoelmat/arkistotyoasema.fi
dc.rights.accessrightsThis material has a restricted access due to copyright reasons. It can be read at the workstation at Jyväskylä University Library reserved for the use of archival materials: https://kirjasto.jyu.fi/collections/archival-workstation.en


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