Understanding continuance of advanced Internet-based learning technologies: The role of satisfaction, prior behavior, and habit

Christy M K Cheung*, Moez Limayem

*Corresponding author for this work

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    5 Citations (Scopus)

    Abstract

    Despite the growing interest in Internet-based learning technologies (IBLT) and the application of advanced Internet technologies in education, research investigating continued usage of these tools has been very scarce. The objective of this study is to gain a better understanding of factors influencing students' continued usage of these learning technologies. Building upon prior literature, satisfaction and prior behavior are posited to have a direct impact on IBLT continued usage. In addition, we take into consideration the "habit" construct in order to better explain the automatic nature of IBLT continuance. The research model is tested in a longitudinal setting. Results present strong support for the existing theoretical links of IBLT continuance model, as well as for those newly hypothesized in this study. The implications are noteworthy for both researchers and practitioners.

    Original languageEnglish
    Title of host publicationPACIS 2005 Proceedings
    PublisherAssociation for Information Systems
    Pages1323-1332
    Number of pages10
    Publication statusPublished - 7 Jul 2005
    Event9th Pacific Asia Conference on Information Systems, PACIS 2005: I.T. and Value Creation - Bangkok, Thailand
    Duration: 7 Jul 200510 Jul 2005
    https://aisel.aisnet.org/pacis2005/

    Publication series

    NamePacific Asia Conference on Information Systems

    Conference

    Conference9th Pacific Asia Conference on Information Systems, PACIS 2005
    Country/TerritoryThailand
    CityBangkok
    Period7/07/0510/07/05
    Internet address

    Scopus Subject Areas

    • Information Systems

    User-Defined Keywords

    • E-learning
    • Habit
    • IS continuance
    • Prior Behavior
    • Satisfaction

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