Determination of Continuance Intention on Learning Management Systems: Modification of the UTAUT Model with Social Isolation and Corona Fear

Wahyu Hidayat, Dyah Sugandini, Yuni Istanto

Abstract


The COVID-19 pandemic requires students to study online using the Learning Management System (LMS). So studies are needed to understand students' continuing interest in adopting LMS during the COVID-19 pandemic by modifying the Unified Theory of Acceptance and Use of the Technology (UTAUT) Model. Modify this model by adding Social Isolation, Corona Fear, and Continuance Intention. This study used a quantitative method involving 310 student respondents using LMS in Yogyakarta using a simple random sampling technique. The questionnaires obtained were then processed using SEM-PLS analysis with the help of the SmartPLS version 3.2.9 statistical application. This study succeeded in finding that Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC) had a positive and significant effect on Continuance Intention (CI). In contrast, Social Isolation (Iso) had a positive and unsignificant effect to CI. This study also found that the moderating effect of Corona Fear (CF) weakened the relationship between PE, SI, FC & SI on CI. In contrast, the moderating effect of CI strengthened the relationship between EE on CI. Based on the results of the exploratory study, it was found that it is likely that students will experience online learning saturation and want to study face-to-face immediately.

Keywords: The UTAUT Model, Social Isolation, Corona Fear, Learning Management System, and the COVID-19 Pandemic.


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Abdul-Halim, N. A., Vafaei-Zadeh, A., Hanifah, H., Teoh, A. P., & Nawaser, K. (2021). Understanding the determinants of e-wallet continuance usage intention in Malaysia. Quality and Quantity, November. https://doi.org/10.1007/s11135-021-01276-7

Ahorsu, D. K., Lin, C. Y., Imani, V., Saffari, M., Griffiths, M. D., & Pakpour, A. H. (2020). The Fear of COVID-19 Scale: Development and Initial Validation. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-020-00270-8

Ain, N. U., Kaur, K., & Waheed, M. (2016). The influence of learning value on learning management system use: An extension of UTAUT2. Information Development, 32(5), 1306–1321. https://doi.org/10.1177/0266666915597546

Almetere, E. S., Kelana, B. W. Y., & Mansor, N. N. A. (2020). Using UTAUT Model to Determine Factors Affecting Internet of Things Acceptance in Public Universities. International Journal of Academic Research in Business and Social Sciences, 10(2). https://doi.org/10.6007/ijarbss/v10-i2/6915

Andriani, H. (2020). Effectiveness of Large-Scale Social Restrictions (PSBB) toward the New Normal Era during COVID-19 Outbreak: a Mini Policy Review. Journal of Indonesian Health Policy and Administration, 5(2), 61–65. https://doi.org/10.7454/IHPA.V5I2.4001

Azizah, S., Bintoro, B. P. K., Octavyra, R. dinda, & Rachmat S, A. (2021). Determining Factors of Continuance Intention to Use QR Code Mobile Payment on Urban Millennials in Indonesia Empirical Study on Mobile Payment Funds. ADI Journal on Recent Innovation (AJRI), 3(2), 121–138. https://doi.org/10.34306/ajri.v3i2.562

Bakar, A. A., Razak, F. Z. A., & Abdullah, W. S. W. (2013). Assessing the effects of UTAUT and self-determination predictor on student's continuance intention to use student portal. World Applied Sciences Journal, 21(10), 1484–1489. https://doi.org/10.5829/idosi.wasj.2013.21.10.2920

Chen, C. K., & Almunawar, M. N. (2019). Cloud Learning Management System in Higher Education. September 2015, 29–51. https://doi.org/10.4018/978-1-5225-7473-6.ch002

Dwita, M. R. (2020). Analysis of Acceptance And Use of Learning Management System Using The UTAUT Model (Case study: STMIK Logika) Mayu. Jurnal Manajemen Informatika, Volume 4 Nomor 01 May Tahun 2020, 248-259, 4(1), 248–259.

Farhan, O., & Hasan, A. (2022). The Commitment of Waqf Institutions to Apply the Governance Principles and the Factors Affecting Them in Saudi Arabia. In Lecture Notes in Networks and Systems (Vol. 488, Issue Icbt). https://doi.org/10.1007/978-3-031-08090-6_3

Fidani, A., & Idrizi, F. (2012). Investigating Students' Acceptance of a Learning Management System in University Education : A Structural Equation Modeling Approach. ICT Innovations 2012, 311–320.

Gierveld, J. de J., van Tilburg, T., & Dykstra, P. A. (2009). Loneliness and Social Isolation. The Cambridge Handbook of Personal Relationships, 485–500. https://doi.org/10.1017/cbo9780511606632.027

Hair, J. F. jr, Black, W. C., Babin, B. J., Anderson, R. E., Black, W. C., & Anderson, R. E. (2018). Multivariate Data Analysis. https://doi.org/10.1002/9781119409137.ch4

Handayanto, R. T., & Herlawati, H. (2020). Efektifitas Pembatasan Sosial Berskala Besar (PSBB) di Kota Bekasi Dalam Mengatasi COVID-19 dengan Model Susceptible-Infected-Recovered (SIR). Jurnal Kajian Ilmiah. https://doi.org/10.31599/jki.v20i2.119

Kemendikbud. (2020). Surat Edaran Jendral No. 15 Tahun 2020. 09, 1–12.

Li, Y., Duan, Y., Fu, Z., & Alford, P. (2012). An empirical study on behavioral intention to reuse e-learning systems in rural China. British Journal of Educational Technology, 43(6), 933–948. https://doi.org/10.1111/j.1467-8535.2011.01261.x

Lin, C. Y., Broström, A., Griffiths, M. D., & Pakpour, A. H. (2020). Investigating mediated effects of fear of COVID-19 and COVID-19 misunderstanding in the association between problematic social media use, psychological distress, and insomnia. Internet Interventions, 21(August), 100345. https://doi.org/10.1016/j.invent.2020.100345

Marín-Díaz, V., Reche, E., & Martín, J. (2021). University Virtual Learning in Covid Times. Technology, Knowledge and Learning, 0123456789. https://doi.org/10.1007/s10758-021-09533-2

Mertens, G., Gerritsen, L., Duijndam, S., Salemink, E., & Engelhard, I. M. (2020). Fear of the coronavirus (COVID-19): Predictors in an online study conducted in March 2020. Journal of Anxiety Disorders, 74(June), 102258. https://doi.org/10.1016/j.janxdis.2020.102258

Ningsih, S. (2020). Persepsi Mahasiswa Terhadap Pembelajaran Daring Pada Masa Pandemi Covid-19. JINOTEP (Jurnal Inovasi Dan Teknologi Pembelajaran): Kajian Dan Riset Dalam Teknologi Pembelajaran, 7(2), 124–132. https://doi.org/10.17977/um031v7i22020p124

Olivia, M., & Marchyta, N. K. (2022). The Influence of Perceived Ease of Use and Perceived Usefulness on E-Wallet Continuance Intention. Jurnal Teknik Industri, 24(1), 13–22. https://doi.org/10.9744/jti.24.1.13-22

Qiao, P., Zhu, X., Guo, Y., Sun, Y., & Qin, C. (2021). The Development and Adoption of Online Learning in Pre- and Post-COVID-19: Combination of Technological System Evolution Theory and Unified Theory of Acceptance and Use of Technology. Journal of Risk and Financial Management, 14(4), 162. https://doi.org/10.3390/jrfm14040162

Raza, S. A., Qazi, W., Khan, K. A., & Salam, J. (2020). Social Isolation and Acceptance of the Learning Management System (LMS) in the time of COVID-19 Pandemic: An Expansion of the UTAUT Model. Journal of Educational Computing Research. https://doi.org/10.1177/0735633120960421

Recker, J. (2016). Reasoning about Discontinuance of Information System Use. Journal of Information Technology, 17(1), 21–31. http://eprints.qut.edu.au/94707/

Simanjuntak, O. S., & Perwira, R. I. (2020). Development of Spada Wimaya Online Learning Course Based on Moodle During and After the Covid-19 Pandemic. Proceeding of LPPM UPN “ …, 1(1), 677–683. http://proceeding.rsfpress.com/index.php/ess/article/view/163

Sugandini, D. (2022). E-Learning System Success Adoption in Indonesia Higher Education. Academic Journal of Interdisciplinary Studies, 149–158.

Sugandini, D., Effendi, M. I., & Istanto, Y. (2020). Perceived Enjoyment, Compatibility dan Social Influence on Adopsi Media Sosial. 2(1), 1–9.

Talib, A. a, Imarah, A., Abdulameer, A., Zwain, A., & Al-hakim, L. A. Y. (2013). The Adoption of E-government Services in the Iraqi Higher Education Context : An application of the UTAUT Model in the University of Kufa. 3(10), 77–85.

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly: Management Information Systems, 36(1), 157–178. https://doi.org/10.2307/41410412

Yakubu, M. N., Dasuki, S. I., Abubakar, A. M., & Kah, M. M. O. (2020). Determinants of learning management systems adoption in Nigeria: A hybrid SEM and artificial neural network approach. In Education and Information Technologies. https://doi.org/10.1007/s10639-020-10110-w

Yunita, N., Suryadi, K., & Anggraeni, L. (2021). ‘ Belajar dari Rumah ’ sebagai Perubahan Sosial Perspektif Pendidikan : Dampak dan Tantangan Masa. 24(1), 61–71. https://doi.org/10.20961/paedagogia.v24i1.53964




DOI: https://doi.org/10.32535/jicp.v5i5.2124

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