This conceptual paper aims to investigate the relationship between hospitality students’ acceptance of using online learning platforms during the pandemic of COVID-19 by utilizing the UTAUT Model. The spreading of COVID-19 has altered the landscape of world education, including the higher education system in Malaysia. All traditional classes need to be switched to online learning activities to ensure the spreading of this virus can be retained. Additionally, this enormous online movement has also allowed many educators to reconsider the purpose of education and their relationships with students. Furthermore, limited studies have investigated the challenges surrounding student acceptance and adoption of such systems and their consequences for teaching and learning, particularly among students in the hospitality and tourism fields. UTAUT is the most adopted model in investigating user acceptance of online technology, which in this conceptual paper focuses on hospitality students’ online learning. The UTAUT model was adopted and modified to fit the proposed research framework by incorporating all dimensions acting as the variable. Five theoretical propositions are suggested in the literature review. This study is added to the literature on digital technology and application adoption in hospitality students’ online learning environments.
Abbad, M. M. M. (2021). Using the UTAUT model to understand students’ usage of e-learning systems in developing countries. Education and Information Technologies, 0123456789. https://doi.org/10.1007/s10639-021-10573-5
Abdullah, M., Husin, N. A., & Haider, A. (2020). Development of Post-Pandemic Covid19 Higher Education Resilience Framework in Malaysia. Archives of Business Research, 8(5), 201–210. https://doi.org/10.14738/abr.85.8321
Ain, N., 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
Akbar, F. (2013). What affects students ’ acceptance and use of technology? A test of UTAUT in the context of a higher-education institution in Qatar. Dietrich College of Humanities and Social Sciences at Research Showcase @ CMU, 33.
Al Mulhem, A. (2020). Exploring the Key Factors in the Use of an E-Learning System Among Students at King Faisal University, Saudi Arabia. International Journal of Interactive Mobile Technologies (IJIM), 14(03), 19.https://doi.org/10.3991/ijim.v14i03.11576
Al-Shahrani. (2016). Investigating the determinants of mobile learning acceptance in higher education in saudi arabia.
Basilaia, G., Dgebuadze, M., Kantaria, M., & Chokhonelidze, G. (2020). Replacing the classic learning form at universities as an immediate response to the COVID-19 virus infection in Georgia. International Journal for Research in Applied Science & Engineering Technology, 8(III).
Birruntha. (2020). Zoom, Microsoft Teams most popular tools for remote workers https://themalaysianreserve.com/2020/03/23/zoom-microsoft-teams-most-popular-tools-forremoteworkers/#:~:text=%E2%80%9CThe%20most%20popular%20tools%20among,among%20businesses%20is%20Google%20Hangouts.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. https://doi.org/10.1007/BF02723327
Bonk, C. (2016). Keynote: What is the State of E-Learning? Reflections on 30 Ways Learning is Changing. Journal of Open Flexible and Distance Learning, 20(2), 6–20.
Bsharat, T. R. K., & Behak, F. (2020). The Impact of Microsoft Teams’ App in Enhancing Teaching-Learning English during the Coronavirus (COVID-19) from the English teachers’ perspectives’ in Jenin city (Vol. 7).
Buchal, R., & Songsore, E. (2019). Using Microsoft Teams To Support Collaborative Knowledge Building in the Context of Sustainability Assessment. Proceedings of the Canadian Engineering Education Association (CEEA), 1–8.
https://doi.org/10.24908/pceea.vi0.13882
Casey, T., & Wilson-Evered, E. (2012). Predicting uptake of technology innovations in online family dispute resolution services: An application and extension of the UTAUT. Computers in Human Behavior, 28(6), 2034–2045.
https://doi.org/10.1016/j.chb.2012.05.022
Davis, N. L., Gough, M., & Taylor, L. L. (2019). Online teaching: advantages, obstacles and
tools for getting it right. Journal of Teaching in Travel and Tourism, 19(3), 256–263. https://doi.org/10.1080/15313220.2019.1612313
Decman, M. (2015). Modeling the acceptance of e-learning in mandatory environments of higher education: The influence of previous education and gender. Computers in Human Behavior, 49, 272–281. https://doi.org/10.1016/J.CHB.2015.03.022
Dwivedi, Y. K., Rana, N. P., Chen, H., & Williams, M. D. (2011). A meta-analysis of the unified theory of acceptance and use of technology (UTAUT). IFIP Advances in Information and Communication Technology, 366, 155–170. https://doi.org/10.1007/978-3-642-24148-2_10
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model. Information Systems Frontiers, 21(3), 719–734. https://doi.org/10.1007/s10796-017-9774-y
Fidani, A., and Idrizi, F. (2012) ‘Investigating students’ acceptance of a learning management
system in university education: a structural equation modeling approach’, ICT Innovations2012, Web Proceedings ISSN 1857-7288, 311.
Gorissen, P., Van Bruggen, J., & Jochems, W. (2012). Students and recorded lectures: Survey on current use and demands for higher education. Research in Learning Technology, 20(3), 297–311. https://doi.org/10.3402/rlt.v20i0.17299
Gruzd, A., Staves, K., & Wilk, A. (2012). Connected scholars: Examining the role of social media in research practices of faculty using the UTAUT model. Computers in Human Behavior, 28(6), 2340–2350. https://doi.org/10.1016/j.chb.2012.07.004
Gupta, Y., Khan, F. M., & Agarwal, S. (2021). Exploring Factors Influencing Mobile Learning in Higher Education - A Systematic Review. International Journal of Interactive Mobile Technologies, 15(12), 140–157. https://doi.org/10.3991/ijim.v15i12.22503
Hashim, J. H., Adman, M. A., Hashim, Z., Radi, M. F., and Kwan, S. C. (2020). COVID-19 Epidemic in Malaysia: Epidemic Progression, Challenges, and Response. Front. Public Health 9:560592. doi: 10.3389/fpubh.2021.560592
JPPKK. (2022). Jabatan Pendidikan Politeknik dan Kolej Komuniti - Utama. https://www.mypolycc.edu.my/
Kamanetz, A. (2020). ’Panic-gogy’: Teaching Online Classes During The Coronavirus
Pandemic. NPR. Retrieved from https://www.npr.org/2020/03/19/817885991/panic-gogy-teaching-online-classesduring-the-coronavirus-pandemic
Kim, E. J., Kim, J. J., & Han, S. H. (2021). Understanding student acceptance of online learning systems in higher education: Application of social psychology theories with consideration of user innovativeness. Sustainability (Switzerland), 13(2), 1–14. https://doi.org/10.3390/su13020896
Larasati, P. F., & Santoso, H. B. (2018). Interaction Design Evaluation and Improvements of
Cozora - A Synchronous and Asynchronous Online Learning Aplication. Proceedings - 2017 7th World Engineering Education Forum, WEEF 2017- In Conjunction with: 7th Regional Conference on Engineering Education and Research in Higher Education 2017, RCEE and RHEd 2017, 1st International STEAM Education Conference, STEAMEC 201, 536–541. https://doi.org/10.1109/WEEF.2017.8467168
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). https://doi.org/10.6007/ijarbss/v10-i5/7239
Laumer, S., Eckhardt, A., & Weitzel, T. (2010). Electronic Human Resources Management in an E-Business Environment. Journal of Electronic Commerce Research, 11(4), 240–250.
Lee, P. C., Sun, S., Law, R., & Lee, A. H. (2016). Educational technology in hospitality management programs: adoption and expectations. Journal of Teaching in Travel and Tourism, 16(2), 116–142. https://doi.org/10.1080/15313220.2015.1121795
Littlefield, J. (2018). The difference between synchronous and asynchronous distance learning.
https://www.thoughtco.com/synchronous-distance-learning-asynchronousdistance-learning-1097959
Liu, Y., & Wang, H. (2009). A comparative study on e-learning technologies and products:
From the east to the west. Systems Research and Behavioral Science, 26(2), 191–209. https://doi.org/10.1002/sres.959
Lwoga, E. T., & Komba, M. (2015). Antecedents of continued usage intentions of webbased
learning management system in Tanzania. EducationþTraining, 57, 738–756.
https://doi.org/10.1108/ET-02-2014-0014
Ly, T., Duong, N., Huyen, N., & Nguyen, U. (2021). The Challenges of E-learning Through
Microsoft Teams for EFL Students at Van Lang University in COVID-19 (Vol. 12, Issue 4). https://asiacall.info/acojMalaysia Higher Education Blueprint 2015-2025. https://www.um.edu.my/docs/um-magazine/4-executive-summary-pppm-2015-2025.pdf.
McBrien, J. L., Cheng, R., & Jones, P. (2009). Virtual spaces: Employing a synchronous online
classroomto facilitate student engagement in online learning. The International Review of Research in Open and Distributed Learning, 10(3), 1–17.
News Straits Times. (2020). 14-day Movement Control Order begins nationwide on Wednesday.
https://www.nst.com.my/news/nation/2020/03/575180/14-day-movement-control-order-begins-nationwide-wednesday
Nguyen, I.-I., & Chu, H. T. (2021). Estimating University Students’ Acceptance of Technological Tools for Studying English through the UTAUT Model. International Journal of TESOL & Education, 1(3), 209–234.
Palansamy (2020). Higher Education Ministry: All university lectures to be online-only until
end 2020, with a few exceptions.
https://www.malaymail.com/news/malaysia/2020/05/27/higher-education-ministry-all-university-lectures-to-be-online-only-until-e/1869975
Pal, D., & Vanijja, V. (2020a). Perceived usability evaluation of Microsoft Teams as an online learning platform during COVID-19 using system usability scale and technology acceptance model in India. Children and Youth Services Review, 119, 105535. https://doi.org/10.1016/j.childyouth.2020.105535
Pal, D., & Vanijja, V. (2020b). Perceived usability evaluation of Microsoft Teams as an
online learning platform during COVID-19 using system usability scale and technology acceptance model in India. Children and Youth Services Review, 119. https://doi.org/10.1016/j.childyouth.2020.105535
Raman, A., & Don, Y. (2013). Preservice teachers’ acceptance of learning management software: An application of the UTAUT2 model. International Education Studies, 6(7), 157–164.
Riffai, M. M. M. A., Grant, K., & Edgar, D. (2012). Big TAM in Oman: Exploring the promise of online banking, its adoption by customers and the challenges of banking in Oman. International Journal of Information Management, 32(3), 239–250. https://doi.org/10.1016/J.IJINFOMGT.2011.11.007
Rojabi, A. R. (2020). Exploring EFL Students’ Perception of Online Learning via Microsoft Teams: University Level in Indonesia. English Language Teaching Educational Journal, 3(2), 163. https://doi.org/10.12928/eltej.v3i2.2349
Sayeh, A. Y., & Razkane, H. (2021). Moroccan High School EFL Teachers’ Attitudes and Anxiety on Using Microsoft Teams Platform. TESOL and Technology Studies, 2(2), 29–40. https://doi.org/10.48185/tts.v2i2.267
Schaupp, L. C., Carter, L., & McBride, M. E. (2010). E-file adoption: A study of U.S. taxpayers’ intentions. Computers in Human Behavior, 26(4), 636–644. https://doi.org/10.1016/J.CHB.2009.12.017
Shahzad, A., Hassan, R., Aremu, A. Y., Hussain, A., & Lodhi, R. N. (2021). Effects of COVID-19 in E-learning on higher education institution students: the group comparison between male and female. Quality and Quantity, 55(3), 805–826. https://doi.org/10.1007/s11135-020-01028-z
Sumak, B., Heri cKo, M., & Pu sNik, M. (2011). A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types. Computers in Human Behavior, 27(6), 2067–2077. https://doi.org/10.1016/j.chb.2011.08.005
Toquero, C. M. (2020). Challenges and Opportunities for Higher Education amid the COVID-19 Pandemic: The Philippine Context. Pedagogical Research, 5(4), em0063. https://doi.org/10.29333/pr/7947
UNESCO. (2020). Alternative solution to school closure in Arab countries to ensure that learning never stops.Covid-19. Building Peace in the Minds of Men and Women.Unesco.
Unrau, N., & Schlackman, J. (2010). Factors Affecting Student Attitudes Toward Flexible Online Learning in Management Education. The Journal of Educational Research, 2(May 2012), 37–41. http://ovidsp.ovid.com/ovidweb.cgi?T=JS&CSC=Y&NEWS=N&PAGE=fulltext&D=psyc2&AN=1970-02869-001
Venkatesh, V., Morris, M. G., & Ackerman, P. L. (2000). A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes. Organizational Behavior and Human Decision Processes, 83(1), 33–60. https://doi.org/10.1006/obhd.2000.2896
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information
Technology: Toward a Unified View. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
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
Wang, W. T., & Wang, C. C. (2009). An empirical study of instructor adoption of webbased
learning systems. Computers & Education, 53(3), 761–774.
https://doi.org/10.1016/j.compedu.2009.02.021
World Health Organisation. (2020). WHO Director-General’s opening remarks at the media briefing on COVID-19-11 March 2020. from
https://www.who.int/dg/speeches/detail/who-director-general-s-openingremarks- at-the-media-briefing-on-covid-19---11-march-2020.
Yoo, Y. (2012) “The Tables Have Turned: How Can the Information Systems Field
Contribute to Technology and Innovation Management Research?,” Journal of the Association for Information Systems, 14(5).
DOI: 10.17705/1jais.00334
Zacharis, G., & Nikolopoulou, K. (2022). Factors predicting University students’ behavioral
intention to use eLearning platforms in the post-pandemic normal: an UTAUT2 approach with ‘Learning Value.’ Education and Information Technologies, 0123456789. https://doi.org/10.1007/s10639-022-11116-2.
Zhang, W., & Qin, S. (2018). A brief analysis of the key technologies and applications of
educational data mining on the online learning platform. 2018 IEEE 3rd International Conference on Big Data Analysis, ICBDA 2018, 83–86.
https://doi.org/10.1109/ICBDA.2018.8367655
Zhao, Y., & Watterston, J. (2021). The changes we need: Education post-COVID-19. Journal
of Educational Change, 22(1), 3–12. https://doi.org/10.1007/s10833-021-09417-3.
Zhou, T. (2011). Understanding mobile internet continuance usage from the perspectives of
UTAUT and flow. Information Development, 27(3), 207–218.
https://doi.org/10.1177/0266666911414596.
Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile
banking user adoption. Computers in Human Behavior, 26(4), 760–767. https://doi.org/10.1016/J.CHB.2010.01.013.
