Current and exponential developments concerning information and communication technologies have triggered significant shifts in the education area, resulting in individuals being exposed to the new advancement systems such as e-learning. With regards to this issue, the objective of this study was to investigate adoption of e-learning in higher education among undergraduates accounting students. Perceived usefulness and perceived ease of use are the two independent variables tested in this study. The moderating effect of gender differences and self-efficacy on the adoption of e-learning additionally has been examined in this study to fill the gap. All accounting students in UiTM Tapah were selected to be the respondents of the study. In terms of data collection, questionnaires were distributed through an online platform. The findings revealed that perceived usefulness and perceived ease of use have positive and significant associations with e-learning adoption among accounting students. For the moderating relationship, the outcomes of gender differences and self-efficacy were proved to have no moderating effect on the e-learning adoption. Thus, the findings of this study provide some useful implementations to the academic institutions and governing authorities to design further practical and adaptable e-learning approaches to ensure successful implementation of virtual learning for the upcoming years.
Al-Azawei, A. (2019). The moderating effect of gender differences on Learning management System acceptance: a multi-group analysis. Italian Journal of Educational Technology, 27 (3), 257-278. https://dx.doi.org/10.17471/2499-4324/1088.
Alsabawy, A. Y., Cater-Steel, Al., & Soar, J. (2016). Determinants of perceived usefulness of e-learning systems. Computers in Human Behavior, 64, 843-858.
https://doi.org/10.1016/j.chb.2016.07.065.
Ang, W. L., Jedi, A., & Lohgheswary, N. (2021). Factors affecting the acceptance of open learning as e-learning platform by technical course students. Journal of Engineering Science and Technology, 16 (2), 903 – 918.
Baber, H. (2021). Modelling the acceptance of e-learning during the pandemic of COVID-19-A study of South Korea. The International Journal of Management Education, 19, 100503. https://doi.org/10.1016/j.ijme.2021.100503.
Bandura. (1997). Self-efficacy: the exercise of control. New York: W.H. Freeman.
Calisir, F., Gumussoy, C. A., & Bayram, A. (2009). Predicting the behavioral intention to use enterprise resource planning systems: An exploratory extension of the technology acceptance model. Manage. Res.News, 32(7), 597–613.
https://dx.doi.org/10.1108/01409170910965215.
Chien, T. C. (2012). Computer self-efficacy and factors influencing e-learning effectiveness. European Journal of Training and Development, 36 (7), 670-686.
Goswami, A., & Dutta, S. (2016) Gender differences in technology usage—a literature review. Open Journal of Business and Management, 4, 51-59. doi: 10.4236/ojbm.2016.41006.
Hayashi, A., Chen, C., Ryan, T., & Wu, J. (2004). The role of social presence and moderating role of computer self-efficacy in predicting the continuance usage of e-learning systems. Journal of Information Systems Education, 15 (2), 139-154.
Kanwal, F., Rehman, M., & Asif, M. M. (2020). E-learning adoption and acceptance in pakistan: moderating effect of gender and experience. Mehran University Research Journal of Engineering and Technology, 39 (2), 324 – 341.
Latip, M. S. A., Noh, I., Tamrin, M., & Latip, S. N. N. A. (2020). Students’ acceptance for e-learning and the effects of self-efficacy in Malaysia. International Journal of Academic Research in Business and Social Sciences, 10(5), 658-674.
https://dx.doi.org/10.6007/IJARBSS/v10-i5/7239
Liaw, S-S., & Huang, H-M. (2013). Perceived satisfaction, perceived usefulness and interactive learning environment as predictors to self-regulation in e-learning environments. Computers & Education, 60, 14-24. https://doi.org/10.1016/j.compedu.2012.07.015.
Sim, L. S. P., Sim, K. H. P., & Quah, S. C. (2020). Online learning: a post covid-19 alternative pedagogy for university students. Asian Journal of University Education, 16 (4), 137-151.
Schmitz, G. S. (2013). Development and validation of a student self-efficacy scale. Journal of Nursing & Care, 2(1), 1–6. https://doi.org/10.4172/2167-1168.1000126
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://dx.doi.org/10.1111/j.1540-5915.2008.00192.x.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Towards a unified view. MIS Quarterly, 27(3), 425–478. https://dx.doi.org/10.2307/3250981.
Venkatesh, V., & Morris, M. G. (2000). Why don’t men ever stop to ask for directions? Gender, social influence and their role in technology acceptance and usage behaviour. MIS Quarterly, 24(1), 115–139. https://dx.doi.org/10.2307/3250981.
In-Text Citation: (Omar et al., 2022)
To Cite this Article: Omar, N., Shamsudin, S. M., Zamri, N., & Isa, N. S. M. (2022). Exploring the Moderation Effects of Gender Differences and Self-Efficacy in the Adoption of E-Learning Systems. International Journal of Academic Research in Business and Social Sciences. 12(6), 1393– 1405.
Copyright: © 2022 The Author(s)
Published by Knowledge Words Publications (www.kwpublications.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode