2017
DOI: 10.1109/access.2017.2714379
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Factors Affecting E-Learning Adoption in Developing Countries–Empirical Evidence From Pakistan’s Higher Education Sector

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Cited by 173 publications
(199 citation statements)
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References 43 publications
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“…This meets the assumptions of TAM2 model [30] and TAM3 model [27]. The result is consistent with e-learning studies [29], [36], [50], [53] but not consistent with [22]. In line with [18], this indicates that subjective norm is the strongest predictor of perceived usefulness.…”
Section: Discussionsupporting
confidence: 80%
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“…This meets the assumptions of TAM2 model [30] and TAM3 model [27]. The result is consistent with e-learning studies [29], [36], [50], [53] but not consistent with [22]. In line with [18], this indicates that subjective norm is the strongest predictor of perceived usefulness.…”
Section: Discussionsupporting
confidence: 80%
“…This meets the assumptions of TAM3 model [27] and Venkatesh's model [28]. Similar result was reached in other e-learning studies [22], [23], [26], [29], [51]. As hypothesized, students with higher computer self-efficacy are more likely to perceive LMS easy to use.…”
Section: Discussionsupporting
confidence: 74%
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“…In our research, there are several examples of LMS such as WebCT, Moodle, Black Board, Moodle, Whiteboard, Web Board, Web Course in a Box, Claroline, Net Campus, Phoenix Pathlore, Profe, Saba, Symposium, Angel, Sakai, and Moodle, among others. The researcher [33], propose to design a new TAM model specifically designed to explain the acceptance of students and teachers within higher education institutions by applying innovation technologies. The proposal will be created from the TAM model and expanded with constructors of other models, such as TRA, TPB, UTAUT, IDT or TAM3.…”
Section: Author's Discussionmentioning
confidence: 99%