The extended UTAUT model and learning management system during COVID-19: evidence from PLS-SEM and conditional process modeling

The undertaken research investigates the extended unified theory of acceptance and use of technology (UTAUT) model from the perspective of online education in the deadliest period of COVID-19. This research investigates the extended dimensions, for instance, mobile self-efficacy and perceived enjoy...

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Autores principales: Rizwan Raheem Ahmed, Dalia Štreimikienė, Justas Štreimikis
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Lenguaje:EN
Publicado: Vilnius Gediminas Technical University 2021
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Acceso en línea:https://doaj.org/article/160103e336d84b51a5861453413ba80a
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spelling oai:doaj.org-article:160103e336d84b51a5861453413ba80a2021-11-30T16:03:54ZThe extended UTAUT model and learning management system during COVID-19: evidence from PLS-SEM and conditional process modeling10.3846/jbem.2021.156641611-16992029-4433https://doaj.org/article/160103e336d84b51a5861453413ba80a2021-11-01T00:00:00Zhttps://www.mma.vgtu.lt/index.php/JBEM/article/view/15664https://doaj.org/toc/1611-1699https://doaj.org/toc/2029-4433 The undertaken research investigates the extended unified theory of acceptance and use of technology (UTAUT) model from the perspective of online education in the deadliest period of COVID-19. This research investigates the extended dimensions, for instance, mobile self-efficacy and perceived enjoyment besides traditional elements of the UTAUT model with the relationship of behavioural intention and user behaviour of LMS. Since the COVID-19 led to social isolation (SIS), thus, this study has incorporated SIS as mediating factor and fear of COVID-19 (FOC) as the moderating factor for the considered extended model of UTAUT. The data of 1875 respondents was collected from five different Asian countries. For the data analysis, this study employed structural equation modeling through PLS-SEM and condition process modeling. This research demonstrates that the extended dimensions such as mobile self-efficacy, besides the traditional elements of the UTAUT model, exerted a cogent impact on behavioural intention except for the perceived enjoyment. Similarly, the behavioural intention demonstrated a substantial effect on the user behaviour of LMS. Additionally, social isolation as a mediating factor and FOC has a significant effect between dimensions of extended UTAUT model and behavioural intention of LMS. The outcomes of this research demonstrate significant theoretical and practical implications during the COVID-19 pandemic. First published online 30 November 2021 Rizwan Raheem AhmedDalia ŠtreimikienėJustas ŠtreimikisVilnius Gediminas Technical Universityarticlelearning management system (LMS)higher educationextended unified theory of acceptance and use of technology (UTAUT) modelfear of COVID-19social isolationPLS-SEMBusinessHF5001-6182ENJournal of Business Economics and Management (2021)
institution DOAJ
collection DOAJ
language EN
topic learning management system (LMS)
higher education
extended unified theory of acceptance and use of technology (UTAUT) model
fear of COVID-19
social isolation
PLS-SEM
Business
HF5001-6182
spellingShingle learning management system (LMS)
higher education
extended unified theory of acceptance and use of technology (UTAUT) model
fear of COVID-19
social isolation
PLS-SEM
Business
HF5001-6182
Rizwan Raheem Ahmed
Dalia Štreimikienė
Justas Štreimikis
The extended UTAUT model and learning management system during COVID-19: evidence from PLS-SEM and conditional process modeling
description The undertaken research investigates the extended unified theory of acceptance and use of technology (UTAUT) model from the perspective of online education in the deadliest period of COVID-19. This research investigates the extended dimensions, for instance, mobile self-efficacy and perceived enjoyment besides traditional elements of the UTAUT model with the relationship of behavioural intention and user behaviour of LMS. Since the COVID-19 led to social isolation (SIS), thus, this study has incorporated SIS as mediating factor and fear of COVID-19 (FOC) as the moderating factor for the considered extended model of UTAUT. The data of 1875 respondents was collected from five different Asian countries. For the data analysis, this study employed structural equation modeling through PLS-SEM and condition process modeling. This research demonstrates that the extended dimensions such as mobile self-efficacy, besides the traditional elements of the UTAUT model, exerted a cogent impact on behavioural intention except for the perceived enjoyment. Similarly, the behavioural intention demonstrated a substantial effect on the user behaviour of LMS. Additionally, social isolation as a mediating factor and FOC has a significant effect between dimensions of extended UTAUT model and behavioural intention of LMS. The outcomes of this research demonstrate significant theoretical and practical implications during the COVID-19 pandemic. First published online 30 November 2021
format article
author Rizwan Raheem Ahmed
Dalia Štreimikienė
Justas Štreimikis
author_facet Rizwan Raheem Ahmed
Dalia Štreimikienė
Justas Štreimikis
author_sort Rizwan Raheem Ahmed
title The extended UTAUT model and learning management system during COVID-19: evidence from PLS-SEM and conditional process modeling
title_short The extended UTAUT model and learning management system during COVID-19: evidence from PLS-SEM and conditional process modeling
title_full The extended UTAUT model and learning management system during COVID-19: evidence from PLS-SEM and conditional process modeling
title_fullStr The extended UTAUT model and learning management system during COVID-19: evidence from PLS-SEM and conditional process modeling
title_full_unstemmed The extended UTAUT model and learning management system during COVID-19: evidence from PLS-SEM and conditional process modeling
title_sort extended utaut model and learning management system during covid-19: evidence from pls-sem and conditional process modeling
publisher Vilnius Gediminas Technical University
publishDate 2021
url https://doaj.org/article/160103e336d84b51a5861453413ba80a
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