Name
Title | ||
|---|---|---|
Examining the structural relationships among e-learning interactivity, uncertainty avoidance, and perceived risks of COVID-19: Applying extended technology acceptance model |
Abstract | ||
|---|---|---|
Although e-learning has been studied in different contexts, the intention to use e-learning during the Corona virus-19 (COVID-19) pandemic has yet to be explored. This study extends the technology acceptance model (TAM) by treating e-learning interactivity as the antecedent construct of TAM. The constructs of uncertainty avoidance and perceived risks of COVID-19 were also added to understand the attitude and behavioral intentions of students to use e-learning. Two hundred and eighty-eight students from India participated in this study and partial least squares structural equation modeling was used to analyze the data. The results revealed that e-learning offers a high level of interactivity, which influences perceived ease of use and perceived usefulness and enhances a positive attitude of the students. Perceived ease of use was directly found to influence the perceived usefulness of e-learning. Uncertainty avoidance had a positive effect on attitude and intention to use e-learning. Perceived risks of COVID-19 showed a positive and significant effect on attitude, whereas the former did not affect intention to use e-learning. Finally, attitude also influenced intention to use e-learning. Our findings provide academia with theoretical implications and practitioners with practical implications. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1080/10447318.2021.1970430 | INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION |
DocType | Volume | Issue |
Journal | 38 | 8 |
ISSN | Citations | PageRank |
1044-7318 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| V. G. Girish | 1 | 0 | 0.34 |
| Mi-Young Kim | 2 | 0 | 0.34 |
| Indira Sharma | 3 | 0 | 0.34 |
| Choong-Ki Lee | 4 | 0 | 0.34 |