2021
DOI: 10.1080/0144929x.2021.1912181
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Factors influencing students’ continuance usage intention with online learning during the pandemic: a cross-country analysis

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Cited by 33 publications
(24 citation statements)
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“…For the predictors of continuance usage intention towards distance learning, the fourth and fifth hypotheses in this study anticipated a significant and positive influence of attitude and satisfaction on academic staff and undergraduates' continuance usage intention. The results supported these anticipations confirmed the direct and positive relationship, which were verified in other research papers (Bhattacherjee, 2001;Lee, 2010;Rajeh et al, 2021;Taghizadeh et al, 2021). However, this study found that attitude towards distance learning was the strongest predictor, compared to satisfaction, of continuance usage intention of distance learning.…”
Section: Figure (7): Obstacles Faced Tourism Undergraduates In Distan...supporting
confidence: 90%
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“…For the predictors of continuance usage intention towards distance learning, the fourth and fifth hypotheses in this study anticipated a significant and positive influence of attitude and satisfaction on academic staff and undergraduates' continuance usage intention. The results supported these anticipations confirmed the direct and positive relationship, which were verified in other research papers (Bhattacherjee, 2001;Lee, 2010;Rajeh et al, 2021;Taghizadeh et al, 2021). However, this study found that attitude towards distance learning was the strongest predictor, compared to satisfaction, of continuance usage intention of distance learning.…”
Section: Figure (7): Obstacles Faced Tourism Undergraduates In Distan...supporting
confidence: 90%
“…In their study of undergraduates in 5 countries (Bangladesh, Iran, Oman, Romania, and Malaysia), Taghizadeh et al (2021) found that satisfaction significantly affected university students' continuance usage intention with online learning. Similarly, Rajeh et al (2021) found that satisfaction was the strongest predictor of students' intention to continue with distance learning.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Task-Technology Fit (TTF) (Kim & Song, 2021 ), flow theory (Goh & Yang, 2021 ) and value theory (Qi et al, 2021 ) are also widely adopted. Other most employed frameworks involve uses and gratifications theory (U&G) (Zhang et al, 2022 ), Diffusion of Innovation Theory (DOI), Unified Theory of Acceptance and Use of Technology (UTAUT) (Taghizadeh et al, 2021 ), and Theory of Planned Behavior (TPB) (Dalvi-Esfahani et al, 2020 ). Stimulus-Organism-Response (SOR) model (Shao & Chen, 2021 ), Technology-User-Environment (TUE) framework (Gupta & Maurya, 2021 ), and Information Success System (ISS) (San-Martin et al, 2020 ) framework are also leveraged.…”
Section: Theoretical Background and Literature Reviewmentioning
confidence: 99%
“…Some scholars further explore the influencing factors by extending the framework via combining two or more frameworks like Wang et al ( 2021a ), Taghizadeh et al ( 2021 ). Some added more antecedents when integrating frameworks, for example Wang et al ( 2022 ), Wang and Lin ( 2021 ), Kim and Song ( 2021 ), Goh and Yang ( 2021 ), Zhao et al ( 2020 ), Wu and Chen ( 2017 ).…”
Section: Theoretical Background and Literature Reviewmentioning
confidence: 99%