Identifying Factors Affecting Intention to use in Distance Learning Systems

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dc.contributor.authorBAKI, Rahmi
dc.contributor.authorBIRGOREN, Burak
dc.contributor.authorAKTEPE, Adnan
dc.date.accessioned2025-01-21T16:27:44Z
dc.date.available2025-01-21T16:27:44Z
dc.date.issued2021
dc.departmentKırıkkale Üniversitesi
dc.description.abstractThe use and benefit of Distance Learning Systems (DLS) can be increased by a detailed analysis of the factors affecting students’ intention to use. This study aims to analyse the effect of various independent variables on the user satisfaction and intention to use DLS via Perceived Ease of Use and Perceived Usefulness. In addition, Time Effectiveness is proposed as a new variable with the claim that the time spent in DLS is valuable. Data were collected from 925 undergraduate students currently enrolled in 9 state universities in Turkey. Data were analysed through Structural Equation Modelling (SEM). Results show that while Interaction, Compatibility and Time Effectiveness have a positive effect on user satisfaction and intention to use via Perceived Usefulness; Self Efficacy, Subjective Norm and Enjoyment have no influence. Moreover, Self Efficacy, Interaction, Anxiety and Time Effectiveness have a significant impact on Perceived Ease of Use, yet Subjective Norm and Enjoyment don’t. © 2021. All rights reserved.
dc.identifier.doi10.17718/tojde.906545
dc.identifier.endpage80
dc.identifier.issn1302-6488
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85104799705
dc.identifier.scopusqualityQ2
dc.identifier.startpage58
dc.identifier.urihttps://doi.org/10.17718/tojde.906545
dc.identifier.urihttps://hdl.handle.net/20.500.12587/23409
dc.identifier.volume22
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherAnadolu Universitesi
dc.relation.ispartofTurkish Online Journal of Distance Education
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectDistance Learning System; e-learning.; intention to use; Technology Acceptance Model; user satisfaction
dc.titleIdentifying Factors Affecting Intention to use in Distance Learning Systems
dc.typeArticle

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