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Influencing factors on students' continuance intention to use Learning Management System (LMS)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F19%3A00120602" target="_blank" >RIV/00216224:14560/19:00120602 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1145/3357419.3357429" target="_blank" >http://dx.doi.org/10.1145/3357419.3357429</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3357419.3357429" target="_blank" >10.1145/3357419.3357429</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Influencing factors on students' continuance intention to use Learning Management System (LMS)

  • Original language description

    In the last decades, universities and higher education institutes have widely employed learning management system (LMS) to monitor and manage online learning and teaching. Contrary to the significant role of LMS in educational settings, most research has focused on initial acceptance, and few attempts have been made to investigate factors influencing students' continuance intention to use LMS. The present study is an effort towards this research direction by proposing an integrated model of Expectation-Conformation Theory (ECT), and Technology Acceptance Model (TAM). The proposed model was tested using statistical data from 153 students from an online university. To verify the proposed theoretical model, we ran partial least squares (PLS)/structured equation modeling (SEM). The findings of this study revealed that the perceived usefulness is the strongest predictor of students' continuance intention. Surprisingly, our results also indicated that students' attitude toward LMS and their satisfaction level exert no significant influence on continuance intention.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    PROCEEDINGS OF 9TH INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND MANAGEMENT (ICICM 2019)

  • ISBN

    9781450371889

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    165-169

  • Publisher name

    ASSOC COMPUTING MACHINERY

  • Place of publication

    NEW YORK

  • Event location

    NEW YORK

  • Event date

    Jan 1, 2019

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article

    000518414100033