Examining University Muhammadiyah Purwokerto Students’ Behavioural Intention to Use E-Learning During the Covid -19 Pandemic: An Extended TAM
DOI:
https://doi.org/10.30595/jesh.v2i2.311Keywords:
E-learning, Extended TAM, University students, COVID-19, IndonesiaAbstract
Penelitian ini bertujuan untuk menguji pengaruh variabel-variabel seperti Experience of System (XS), Perceived Ease of Use (PEU), Perceived Usefulness (PU), dan System Quality (SQ) terhadap Attitude Toward Technology (AT) dan Behavioral Intention (BI) pada mahasiswa Fakultas Ekonomi dan Bisnis Universitas Muhammadiyah Purwokerto Angkatan 2020-2021 yang menggunakan sistem e-learning OnClass selama masa pandemi. Penelitian ini berfokus pada penerapan model Technology Acceptance Model (TAM) untuk memahami faktor-faktor yang memengaruhi sikap dan niat mahasiswa dalam menggunakan platform e-learning. Penelitian ini menggunakan pendekatan kuantitatif dengan data primer yang diperoleh melalui penyebaran kuesioner secara online menggunakan Google Form. Populasi penelitian ini terdiri dari sekitar 950 mahasiswa Angkatan 2020-2021. Responden penelitian ini berjumlah 104 mahasiswa yang menjawab kuisoner. Data yang dikumpulkan dianalisis menggunakan metode Partial Least Squares (PLS) 3.0. Hasil penelitian menunjukkan bahwa terdapat 8 hipotesis yang diuji, dimana 6 hipotesis diterima dan 2 hipotesis ditolak. Hipotesis yang diterima antara lain menunjukkan bahwa XS berpengaruh signifikan terhadap AT, PEU berpengaruh signifikan terhadap AT dan BI, PU berpengaruh signifikan terhadap AT dan BI, serta SQ berpengaruh signifikan terhadap BI. Sementara itu, hipotesis yang ditolak adalah bahwa SQ tidak berpengaruh signifikan terhadap AT dan XS tidak berpengaruh signifikan terhadap BI.
References
Abbasi, M. S., Chandio, F. H., Soomro, A. F., & Shah, F. (2011). Social influence, voluntariness, experience and the internet acceptance: An extension of technology acceptance model within a south-Asian country context. Journal of Enterprise Information Management, 24(1), 30–52. https://doi.org/10.1108/17410391111097410
Abdennebi, H. Ben. (2023). M-banking adoption from the developing countries perspective: A mediated model. Digital Business, 3(2), 100065. https://doi.org/10.1016/j.digbus.2023.100065
Al-Adwan, A. S., Nofal, M., Akram, H., Albelbisi, N. A., & Al-Okaily, M. (2022). Towards a Sustainable Adoption of E-Learning Systems: the Role of Self-Directed Learning. Journal of Information Technology Education: Research, 21, 245–267. https://doi.org/10.28945/4980
Al-Fraihat, D., Joy, M., Masa’deh, R., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102(June 2019), 67–86. https://doi.org/10.1016/j.chb.2019.08.004
Al-Gahtani, S. S. (2016). Empirical investigation of e-learning acceptance and assimilation: A structural equation model. Applied Computing and Informatics, 12(1), 27–50. https://doi.org/10.1016/j.aci.2014.09.001
Ariannor, W., & Abidah, S. (2022). Evaluasi User Experience Sistem E-Learning Menerapkan User Experience Questionaire. Jutisi : Jurnal Ilmiah Teknik Informatika Dan Sistem Informasi, 11(2), 383. https://doi.org/10.35889/jutisi.v11i2.902
Chen, Q. L., & Zhou, Z. H. (2016). Unusual formations of superoxo heptaoxomolybdates from peroxo molybdates. Inorganic Chemistry Communications, 67(3), 95–98. https://doi.org/10.1016/j.inoche.2016.03.015
Chu, T. H., & Chen, Y. Y. (2016). With Good We Become Good: Understanding e-learning adoption by theory of planned behavior and group influences. Computers and Education, 92–93, 37–52. https://doi.org/10.1016/j.compedu.2015.09.013
Cudjoe, A. G., Anim, P. A., & Tetteh Nyanyofio, J. G. N. (2015). Determinants of Mobile Banking Adoption in the Ghanaian Banking Industry: A Case of Access Bank Ghana Limited. Journal of Computer and Communications, 03(02), 1–19. https://doi.org/10.4236/jcc.2015.32001
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
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Dhawan, S. (2020). Online Learning: A Panacea in the Time of COVID-19 Crisis. Journal of Educational Technology Systems, 49(1), 5–22. https://doi.org/10.1177/0047239520934018
Elkaseh, A. M., Wong, K. W., & Fung, C. C. (2016). Perceived Ease of Use and Perceived Usefulness of Social Media for e-Learning in Libyan Higher Education: A Structural Equation Modeling Analysis. International Journal of Information and Education Technology, 6(3), 192–199. https://doi.org/10.7763/ijiet.2016.v6.683
Esawe, A. T. (2022). Understanding mobile e-wallet consumers’ intentions and user behavior. Spanish Journal of Marketing - ESIC, 26(3), 363–384. https://doi.org/10.1108/SJME-05-2022-0105
Fathema, N., Shannon, D., & Ross, M. (2015). Expanding The Technology Acceptance Model (TAM) to Examine Faculty Use of Learning Management Systems (LMSs) In Higher Education Institutions. Journal of Online Learning and Teaching , 11(2), 210–233.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). The Results of PLS-SEM Article information. European Business Review, 31(1), 2–24.
Hamid, A. A., Razak, F. Z. A., Bakar, A. A., & Abdullah, W. S. W. (2016). The Effects of Perceived Usefulness and Perceived Ease of Use on Continuance Intention to Use E-Government. Procedia Economics and Finance, 35(October 2015), 644–649. https://doi.org/10.1016/s2212-5671(16)00079-4
Hrtoňová, N., Kohout, J., Rohlíková, L., & Zounek, J. (2015). Factors influencing acceptance of e-learning by teachers in the Czech Republic. Computers in Human Behavior, 51, 873–879. https://doi.org/10.1016/j.chb.2014.11.018
Huang, F., Sánchez-Prieto, J. C., Teo, T., García-Peñalvo, F. J., Sánchez, E. M. T., & Zhao, C. (2020). The influence of university students’ learning beliefs on their intentions to use mobile technologies in learning: a study in China and Spain. Educational Technology Research and Development, 68(6), 3547–3565. https://doi.org/10.1007/s11423-020-09806-0
Indarsin, T., & Ali, H. (2017). Attitude toward using m-commerce: The analysis of perceived usefulness perceived ease of Use, and perceived trust: case study in Ikens Wholesale Trade. Saudi Journal of Business and Management Studies, 2(11), 995–1007. https://doi.org/10.21276/sjbms.2017.2.11.7
Kashive, N., Powale, L., & Kashive, K. (2021). Understanding user perception toward artificial intelligence (AI) enabled e-learning. International Journal of Information and Learning Technology, 38(1), 1–19. https://doi.org/10.1108/IJILT-05-2020-0090
Lau, S. H., & Woods, P. C. (2008). An empirical study of learning object acceptance in multimedia learning environment. Innovation and Knowledge Management in Business Globalization: Theory and Practice - Proceedings of the 10th International Business Information Management Association Conference, 1–2, 1063–1068.
Lee, C.-W., & Hidayat, N. (2018). The Influence of Transformational Leadership and Intrinsic Motivation to Employee Performance. Advances in Management & Applied Economics, 8(2), 1792–7552.
Lee, Y. H., Hsieh, Y. C., & Chen, Y. H. (2013). An investigation of employees’ use of e-learning systems: Applying the technology acceptance model. Behaviour and Information Technology, 32(2), 173–189. https://doi.org/10.1080/0144929X.2011.577190
Leon, S. (2018). Service mobile apps: a millennial generation perspective. Industrial Management and Data Systems, 118(9), 1837–1860. https://doi.org/10.1108/IMDS-10-2017-0479
Maan, A., & Malhotra, K. (2024). Mapping Students’ Readiness for E-Learning in Higher Education: A Bibliometric Analysis. Journal of Learning for Development, 11(1), 27–51. https://doi.org/10.56059/jl4d.v11i1.1036
Mailizar, M., Burg, D., & Maulina, S. (2021). Examining university students’ behavioural intention to use e-learning during the COVID-19 pandemic: An extended TAM model. Education and Information Technologies, 26(6), 7057–7077. https://doi.org/10.1007/s10639-021-10557-5
Mostafa, R. B. (2020). Mobile banking service quality: a new avenue for customer value co-creation. International Journal of Bank Marketing, 38(5), 1107–1132. https://doi.org/10.1108/IJBM-11-2019-0421
Mou, J., Shin, D. H., & Cohen, J. (2017). Understanding trust and perceived usefulness in the consumer acceptance of an e-service: a longitudinal investigation. Behaviour and Information Technology, 36(2), 125–139. https://doi.org/10.1080/0144929X.2016.1203024
Naufaldi, I., & Tjokrosaputro, M. (2020). Pengaruh Perceived Ease Of Use, Perceived Usefulness, dan Trust terhadap Intention To Use. Jurnal Manajerial Dan Kewirausahaan, 2(3), 715. https://doi.org/10.24912/jmk.v2i3.9584
Nordin, N. B., & Nordin, N. B. (2020). Impact of Pandemic COVID-19 to the Online Learning: Case of Higher Education Institution in Malaysia. Universal Journal of Educational Research, 8(12A), 7607–7615. https://doi.org/10.13189/ujer.2020.082546
Park, E. (2020). User acceptance of smart wearable devices: An expectation-confirmation model approach. Telematics and Informatics, 47(September 2019). https://doi.org/10.1016/j.tele.2019.101318
Park, S. Y., Nam, M. W., & Cha, S. B. (2012). University students’ behavioral intention to use mobile learning: Evaluating the technology acceptance model. British Journal of Educational Technology, 43(4), 592–605. https://doi.org/10.1111/j.1467-8535.2011.01229.x
Putra, I. S., & Wardani, N. A. K. (2022). Faktor-Faktor Yang Mempengaruhi Behavioral Intention To Use Penggunaan Software Akuntansi Pada Umkm. Jurnal Riset Akuntansi Politala, 5(2), 60–74. https://doi.org/10.34128/jra.v5i2.130
Regita, A., Santoso, T., Bisnis, P. M., Manajemen, P. S., Bisnis, F., & Siwalankerto, J. (2020). 9. Pengaruh PEU, PU, dan T Terhadap BIU Metode TAM. 8(1).
Setiawan, N., Nurhadi, M., Djuwito, & Diptyana, P. (2018). Analisis Perilaku Penggunaan Learning Management System. Spirit Pro Patria, IV(2), 138–153.
Sun, P. C., Tsai, R. J., Finger, G., Chen, Y. Y., & Yeh, D. (2008). What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers and Education, 50(4), 1183–1202. https://doi.org/10.1016/j.compedu.2006.11.007
Teo, T. (2010). A path analysis of pre-service teachers’ attitudes to computer use: Applying and extending the technology acceptance model in an educational context. Interactive Learning Environments, 18(1), 65–79. https://doi.org/10.1080/10494820802231327
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information: Towar a Unified View. MIS Quarterly, 27(3), 425–478.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Luthfi Arie Widzayanto, EditorJESHUMP

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

Journal of Social, Economics, and Humanities is licensed under a Creative Commons Attribution 4.0 International License.

