International Journal of Academic Research in Business and Social Sciences

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The Use of E-learning during Covid-19: Application of Theory Acceptance Model (TAM)

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Nowadays, many university students are experiencing difficulties with e-learning due to the Covid-19 pandemic. With the abolition of face-to-face learning on university campuses, many university faculty and students have embraced e-learning as a means of transmitting and receiving information, as well as continuing education and discussion. Nonetheless, many students are stressed and anxious as a result of psychological issues that make the transition from traditional to online learning difficult. The purpose of this study is to determine the factors that influence students' behavioural intentions toward e-learning during Covid-19 in Malaysia. Respondents were selected from university students in Malaysia using a simple random sampling technique. The study employed a quantitative approach through the use of an online survey form (Google Form). The researcher hopes that this study can be used as a guidance and reference, especially for the management of the education as well as the relevant parties responsible for the organizational support experienced. This study will contribute to the body of knowledge on the influence of behavioural intention toward students in university by applying the technology acceptance model (TAM).
Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly: Management Information Systems, 16(2), 227–247. https://doi.org/10.2307/249577
Ajzen, I., & I, A. (1975). A Bayesian Analysis of Attribution Processes. A Bayesian Analysis Of Attribution Processes.
Al-Rahmi, W. M., Alias, N., Othman, M. S., Alzahrani, A. I., Alfarraj, O., Saged, A. A., & Rahman, N. S. A. (2018). Use of E-Learning by University Students in Malaysian Higher Educational Institutions: A Case in Universiti Teknologi Malaysia. IEEE Access, 6, 14268–14276. https://doi.org/10.1109/ACCESS.2018.2802325
Ali, S., Uppal, M. A., & Gulliver, S. R. (2018). A conceptual framework highlighting e-learning implementation barriers. In Information Technology and People (Vol. 31, Issue 1, pp. 156–180). Emerald Group Publishing Ltd. https://doi.org/10.1108/ITP-10-2016-0246
Amado-Salvatierra, H. R., Hilera, J. R., Tortosa, S. O., Rizzardini, R. H., & Piedra, N. (2016). Towards a Semantic Definition of a Framework to Implement Accessible e-Learning Projects. In Journal of Universal Computer Science (Vol. 22, Issue 7).
Bagozzi, R. P., Davis, F. D. D., & Warshaw, P. R. (1992). Development and Test of a Theory of Technological Learning and Usage. Human Relations, 45(7), 659–686. https://doi.org/10.1177/001872679204500702
Benedetto, C. A., Calantone, R. J., & Zhang, C. (2003). International technology transfer: Model and exploratory study in the People’s Republic of China. International Marketing Review, 20(4), 446–462. https://doi.org/10.1108/02651330310485171/FULL/XML
Caballé, S., Xhafa, F., & Barolli, L. (2010). Using mobile devices to support online collaborative learning. Mobile Information Systems, 6(1), 27–47. https://doi.org/10.3233/MIS-2010-0091
Coman, C., ?îru, L. G., Mese?an-Schmitz, L., Stanciu, C., & Bularca, M. C. (2020). Online teaching and learning in higher education during the coronavirus pandemic: Students’ perspective. Sustainability (Switzerland), 12(24), 1–22. https://doi.org/10.3390/su122410367
David, Glassmeyer, M., Glassmeyer, D. M., Dibbs, R. A., & Thomas Jensen, R. (2011). Determining Utility Of Formative Assessment Through Virtual Community Perspectives of Online Graduate Students. The Quarterly Review of Distance Education, 12(1), 23–35.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Doll, W. J., & Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly: Management Information Systems, 12(2), 259–273. https://doi.org/10.2307/248851
Favale, T., Soro, F., Trevisan, M., Drago, I., & Mellia, M. (2020). Campus Traffic and e-Learning during COVID-19 Pandemic. https://doi.org/10.1016/j.comnet.2020.107290
Fernandez, D., & Aman, A. (2021). The Challenges of Implementing Robotic Process Automation in Global Business Services. International Journal of Business and Society 22(3), 1269-1282.
Fernandez, D., & Aman, A. (2018). Impacts of Robotic Process Automation on Global Accounting Services. Asian Journal of Accounting and Governance 9(1), 127-140.
Fernandez, D., Zainol, Z., & Ahmad, H. (2018). An investigation of challenges in Enterprise Resource Planning (ERP) implementation: The case of public sector in Malaysia. International Journal of Supply Chain Management 7(3), 113-117.
Fernandez, D., Amin, H., Musawa Mubarak, E. S., Aman, A., & Omar, S. S. (2019). Academic Dishonesty: Methods and the Influence of Psychological Gender. International Journal of Recent Technology and Engineering 8(2S9), 578-584.
Hollenbeck, C. R., Mason, C. H., & Song, J. H. (2011). Enhancing student learning in marketing courses: An exploration of fundamental principles for website platforms. Journal of Marketing Education, 33(2), 171–182. https://doi.org/10.1177/0273475311410850
Hsu, M. H., & Chiu, C. M. (2004). Internet self-efficacy and electronic service acceptance. Decision Support Systems, 38(3), 369–381. https://doi.org/10.1016/j.dss.2003.08.001
Hu, P. J., Chau, P. Y. K., Liu Sheng, O. R., & Tam, K. Y. (1999). Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology. Journal of Management Information Systems, 16(2), 91–112. https://doi.org/10.1080/07421222.1999.11518247
Idris, F. A. A., & Osman, Y. B. (2016). Challanges facing the implementation of e-learning at University of Gezira according to view of staff members. Proceedings - 2015 5th International Conference on E-Learning, ECONF 2015, 336–348. https://doi.org/10.1109/ECONF.2015.51
Jatin, N. (2019, August). Malaysia E-Learning Market Research Report, Malaysia E-Learning Market Growth, Malaysia Online Learning Market - Ken Research. https://www.kenresearch.com/education-and-recruitment/education/malaysia-e-learning-market-outlook/239908-99.html
Katherine Northenor. (2020, September 26). Online school has more negative impacts than positive – The Sting. https://theroswellsting.com/5200/opinion/online-school-has-more-negative-impacts-than-positive/
Kevin, D. (2020). Cloudflare Network expands to more than 100 Countries. https://blog.cloudflare.com/cloudflare-network-expands-to-more-than-100-countries/
Kiet, O. C., Tang, L.-L., & Hsu, C.-H. (2014). Acceptance of web-based e-learning systems: Behavioral intention and impacts. In International Journal of Innovation in Management (Vol. 2, Issue 1). https://www.researchgate.net/publication/264333881
Lin, J. C. C., & Lu, H. (2000). Towards an understanding of the behavioural intention to use a web site. International Journal of Information Management, 20(3), 197–208. https://doi.org/10.1016/S0268-4012(00)00005-0
Mayisela, T. (2013). The potential use of mobile technology: Enhancing accessibility and communication in a blended learning course. South African Journal of Education, 33(1). https://doi.org/10.15700/saje.v33n1a629
Mohammadi, H. (2015). Investigating users’ perspectives on e-learning: An integration of TAM and IS success model. Computers in Human Behavior, 45, 359–374. https://doi.org/10.1016/j.chb.2014.07.044
Monahan, T., McArdle, G., & Bertolotto, M. (2008). Virtual reality for collaborative e-learning. Computers and Education, 50(4), 1339–1353. https://doi.org/10.1016/j.compedu.2006.12.008
Mungania, P., & Reio, T. G. (2005). If E-learners Get There, Will They Stay? The Role of E-learning Self-Efficacy.
Nicholson, P. (2008). A history of E-Learning: Echoes of the pioneers. In Computers and Education: E-Learning, From Theory to Practice (pp. 1–11). Springer Netherlands. https://doi.org/10.1007/978-1-4020-4914-9_1
Norzaidi, M. D., Chong, S. C., Murali, R., & Salwani, M. I. (2007). Intranet usage and managers’ performance in the port industry. Industrial Management and Data Systems, 107(8), 1227–1250. https://doi.org/10.1108/02635570710822831
Phillips, L. A., Calantone, R., & Lee, M. T. (1994). International Technology Adoption: Behavior Structure, Demand Certainty and Culture. In Journal of Business & Industrial Marketing (Vol. 9, Issue 2, pp. 16–28). MCB UP Ltd. https://doi.org/10.1108/08858629410059762
Rayens, W., & Ellis, A. (2018). Creating a Student-Centered Learning Environment Online. Journal of Statistics Education, 26(2), 92–102. https://doi.org/10.1080/10691898.2018.1475205
Roy, R., Potter, S., Yarrow, K., Smith, M., Sandhu, S., Moore, J., Wardell of Learning, P., Solutions, T., Levine, S., Hodgson, J., Weller, M., Dolan, K., Gander, M., Taylor, E., & of Design, P. (2005). Towards Sustainable Higher Education: Environmental impacts of campus-based and distance higher education systems Acknowledgements Campus universities The Research Team.
Salloum, S. A., & Shaalan, K. (2019). Factors Affecting Students’ Acceptance of E-Learning System in Higher Education Using UTAUT and Structural Equation Modeling Approaches. Advances in Intelligent Systems and Computing, 845, 469–480. https://doi.org/10.1007/978-3-319-99010-1_43
Sander Tamm. (2020, December 21). What is the Definition of E-Learning? | E-Student. https://e-student.org/what-is-e-learning/
Schworm, S., & Gruber, H. (2012). E-Learning in universities: Supporting help-seeking processes by instructional prompts. British Journal of Educational Technology, 43(2), 272–281. https://doi.org/10.1111/j.1467-8535.2011.01176.x
Simon, K. (2020). Digital 2020: Global Digital Overview — DataReportal – Global Digital Insights. https://datareportal.com/reports/digital-2020-global-digital-overview
Tello, S. F. (2008). An Analysis of Student Persistence in Online Education. In Information Communication Technologies (pp. 1163–1178). IGI Global. https://doi.org/10.4018/978-1-59904-949-6.ch079
Teo, T., & Noyes, J. (2011). An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among pre-service teachers: A structural equation modeling approach. Computers and Education, 57(2), 1645–1653. https://doi.org/10.1016/j.compedu.2011.03.002
Teo, T., Luan, W., & Sing, C. (2008). A cross-cultural examination of the intention to use technology between Singaporean and Malaysian pre-service teachers: an application of the Technology Acceptance Model (TAM). https://researchspace.auckland.ac.nz/handle/2292/10365
Teo, T., Sang, G., Mei, B., & Hoi, C. K. W. (2019). Investigating pre-service teachers’ acceptance of Web 2.0 technologies in their future teaching: a Chinese perspective. Interactive Learning Environments, 27(4), 530–546. https://doi.org/10.1080/10494820.2018.1489290
Teo, T., Ursava?, Ö. F., & Bahçekapili, E. (2011). Efficiency of the technology acceptance model to explain pre-service teachers’ intention to use technology: A Turkish study. Campus-Wide Information Systems, 28(2), 93–101. https://doi.org/10.1108/10650741111117798
Thompson, R., Compeau, D., & Higgins, C. (2006). Intentions to Use Information Technologies. Journal of Organizational and End User Computing, 18(3), 25–46. https://doi.org/10.4018/joeuc.2006070102
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478. https://doi.org/10.2307/30036540
World Health Organisation. (2020). Coronavirus. https://www.who.int/health-topics/coronavirus#tab=tab_1
Wu, J. H., & Wang, Y. M. (2006). Measuring KMS success: A respecification of the DeLone and McLean’s model. Information and Management, 43(6), 728–739. https://doi.org/10.1016/j.im.2006.05.002
In-Text Citation: (Jie et al., 2022)
To Cite this Article: Jie, S. S., Fernandez, D., Jamaludin, N. A., Zaki, H. O., & Sanusi, S. (2022). The Use of E-learning during Covid-19: Application of Theory Acceptance Model (TAM). International Journal of Academic Research in Business and Social Sciences, 12(11), 2148– 2165.