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Analysing students’ aspiration factors that impact actual use of mobile learning systems: a two-stage SEM-ANN approach

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  • Henan Wu

    (Hainan Vocational University of Science and Technology)

  • Xiaoping Que

    (Hainan Vocational University of Science and Technology)

  • Ling Pan

    (Hainan Vocational University of Science and Technology)

Abstract

This study examines the impact of student aspiration factors (expectations, motivation, and enjoyment) on university students’ actual usage of mobile learning systems. The researchers conducted a structured questionnaire survey among 518 randomly selected university students from three universities in Hainan Province to measure their self-reported responses to seven constructs (expectations, motivation, enjoyment, perceived usefulness, perceived ease of use, attitudes, and actual use). A sophisticated two-stage structural equation modelling-artificial neural network approach was applied, and this study revealed non-compensatory and nonlinear relationships between the predictors and the actual usage of university students. The results revealed that all hypotheses were supported except for the direct effect between motivation and perceived usefulness, which was nonsignificant. Furthermore, according to the normalized importance derived from the multilayer perceptron, perceived usefulness (100%), attitude (73.0%), enjoyment (33.5%), motivation (30.8%), perceived ease of use (25.1%), and expectations (12.2%) are significant predictors of the actual usage behaviour of university students. Finally, this study presents theoretical and practical implications for the actual usage behaviour of mobile learning systems among university students.

Suggested Citation

  • Henan Wu & Xiaoping Que & Ling Pan, 2025. "Analysing students’ aspiration factors that impact actual use of mobile learning systems: a two-stage SEM-ANN approach," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
    • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04717-y
    DOI: 10.1057/s41599-025-04717-y
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    1. MacKenzie, Scott B. & Podsakoff, Philip M., 2012. "Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies," Journal of Retailing, Elsevier, vol. 88(4), pages 542-555.
    2. Karaca, Yeliz & Moonis, Majaz & Zhang, Yu-Dong & Gezgez, Caner, 2019. "Mobile cloud computing based stroke healthcare system," International Journal of Information Management, Elsevier, vol. 45(C), pages 250-261.
    3. Adriana ZAIT & Patricea Elena BERTEA, 2011. "Methods For Testing Discriminant Validity," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 0(2), pages 217-224, November.
    4. Muhammad Ashfaq & Jiang Yun & Abdul Waheed & Muhammad Shahid Khan & Muhammad Farrukh, 2019. "Customers’ Expectation, Satisfaction, and Repurchase Intention of Used Products Online: Empirical Evidence From China," SAGE Open, , vol. 9(2), pages 21582440198, April.
    5. Bing Wu & Chenyan Zhang, 2014. "Empirical study on continuance intentions towards E-Learning 2.0 systems," Behaviour and Information Technology, Taylor & Francis Journals, vol. 33(10), pages 1027-1038, October.
    6. EL Idrissi, Touria & Idri, Ali & Bakkoury, Zohra, 2019. "Systematic map and review of predictive techniques in diabetes self-management," International Journal of Information Management, Elsevier, vol. 46(C), pages 263-277.
    7. Liébana-Cabanillas, Francisco & Marinković, Veljko & Kalinić, Zoran, 2017. "A SEM-neural network approach for predicting antecedents of m-commerce acceptance," International Journal of Information Management, Elsevier, vol. 37(2), pages 14-24.
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