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Predicting the actual use of m-learning systems: a comparative approach using PLS-SEM and machine learning algorithms

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References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.81,863 cited
1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
2014A new criterion for assessing discriminant validity in variance-based structural equation modeling38,283 cited
2015A primer on partial least squares structural equation modeling (PLS-SEM)18,923 cited
2001Understanding Information Systems Continuance: An Expectation-Confirmation Model18,741 cited
1998Modern Methods for Business Research6,534 cited
2018Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model569 cited
1998Using Davis's Perceived Usefulness and Ease‐of‐use Instruments for Decision Making: A Confirmatory and Multigroup Invariance Analysis458 cited
2020Automated vehicle acceptance in China: Social influence and initial trust are key determinants455 cited
2014Predicting the drivers of behavioral intention to use mobile learning: A hybrid SEM-Neural Networks approach444 cited
2020An empirical examination of continuous intention to use m-learning: An integrated model317 cited

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