Institute of Industry and Academic Research Incorporated
Register in
IJEMDS Cover Page
International Journal of Educational Management & Development Studies

ISSN 2719-0633 (Print) 2719-0641 (Online)

h-index: 11

ICV: 78.5

A meta-analytic structural equation modelling on the Unified Theory of Acceptance and use of technology in higher education

Wai Wai Than, Ei Mon Kyaw & Htet Zaw Htoo
Volume 2, Issue 4, December 2021

With technology advancements in society, many theories and models evolved for explaining the technology acceptance of people in different contexts, especially in education. This study’s main objective is to confirm the factors influencing the actual use behaviour of technology in the higher education sector, based on the framework of the unified theory of acceptance and use of technology (UTAUT). This objective was executed by means of the modern statistical technique, meta-analytic structural equation modelling (MASEM). This study synthesized 44 samples from 38 quantitative studies of UTAUT constructs, covering 16550 participants in higher education institutions. The result confirms the validity of the UTAUT model, except the direct effect of facilitating conditions on use behaviour. Therefore, performance expectancy, effort expectancy, social influence and facilitating conditions are the significant positive predictors of the teachers and students’ behavioural intention to use the technology. The behavioural intention can also significantly predict the actual technology use behaviour of teachers and students. Moreover, the resulted model can explain the higher variance of the technology use behaviour among student population than the teacher population. It is anticipated that this study’s findings can add the strong evidence of the validity and usefulness of the UTAUT model to the technology acceptance literature. Moreover, the practitioners with the help of this research’s findings can guide the future integration of technology in higher education effectively.

behavioural intention, technology use behaviour, UTAUT, meta-analysis, structural equation modelling

Wai Wai Than. Corresponding author. Lecturer, Sagaing University of Education

Ei Mon Kyaw. Senior Teacher, B.E.H.S, Mine In, Pindaya Township, Southern Shan State

Htet Zaw Htoo. Senior Teacher, B.E.H.S, Talai, Sagaing Township, Sagaing Region

Abdallah, N., Abdallah, O., & Bohra, O. (2021). Factors affecting mobile learning acceptance in higher education: An empirical study. International Journal of Advanced Computer Science and Applications, 12(4), 664-671.

Abdekhoda, M., Dehnad, A., Ghazi Mirsaeed, S. J., & Zarea Gavgani, V. (2016). Factors influencing the adoption of E-learning in Tabriz University of Medical Sciences. Medical Journal of the Islamic Republic of Iran, 30, 457 – 457.

Abu-Al-Aish, A. & Love, S. (2013). Factors Influencing Students’ Acceptance of M-Learning: An Investigation in Higher Education. International Review of Research in Open and Distributed Learning, 14(5), 82–107. https://doi.org/10.19173 /irrodl.v14i5.1631

Alasmari, T. M. (2017). Mobile Learning Technology Acceptance Among Saudi Higher Education Students. WayneState University Dissertations. 1676. http://digitalcommons.wayne.edu/

Alharbi, O., Alotebi, H., Masmali, A., & Alreshidi, N. (2017). Instructor acceptance of mobile learning in Saudi Arabia: A case study of Hail University. International Journal of Business and Management, 12(5), 27-35. https://doi.org/ 10.5539/ijbm.v12n5p27

Alhramelah, A., & Alshahrani, H. (2020). Saudi graduate student acceptance of blended learning courses based upon the Unified Theory of Acceptance and Use of Technology. Australian Educational Computing, 35(1), 1-22.

Almaiah, M. A., Alamri, M. M., & Al-Rahmi, W. (2019). Applying the UTAUT model to explain the students’ acceptance of mobile learning system in higher education. IEEE Access, 7, 174673-174686. https:///doi.org.10.1109/ACCESS.2019.2957206

Alowayr, A., & Al-Azawei, A. (2021). Predicting mobile learning acceptance: An integrated model and empirical study based on the perceptions of higher education students. Australasian Journal of Educational Technology, 37(3), 38–55. https://doi.org/10.14742/ajet.6154

Alshehri, A., Rutter, M, & Smith, S. (2020). The effects of UTAUT and usability qualities on students’ use of learning management systems in Saudi tertiary education. Journal of Information Technology Education: Research, 19, 891-930. https://doi.org/10.28945/4659

Alshmrany, S., & Wilkinson, B. (2017). Factors influencing the adoption of ICT by teachers in primary schools in Saudi Arabia. International Journal of Advanced Computer Science and Applications, 8(12), 143-156.

Altalhi, M. (2021). Towards understanding the students’ acceptance of MOOCs: A Unified Theory of Acceptance and Use of Technology (UTAUT). International Journal of Emerging Technologies in Learning, 16(2), 237-253. https://doi.org/10.3991/ijet.v16i02.13639

Amadin, F. I., Obienu, A. C., & Osaseri, R. O. (2018). Main barriers and possible enablers of Google Apps for education adoption among university staff members. Nigerian Journal of Technology, 37(2), 432-439. http://dx.doi.org/ 10.4314/njt.v37i2.18

Blut, M., Chong, A., Tsiga, Z., & Venkatesh, V. (2021). Meta-Analysis of the Unified Theory of Acceptance and Use of Technology (UTAUT): Challenging its Validity and Charting a Research Agenda in the Red Ocean. Journal of the Association for Information Systems, Forthcoming. https://ssrn.com/abstract=3834872

Chaka, J. G., & Govender, I. (2017). Students’ perceptions and readiness towards mobile learning in colleges of education: a Nigerian perspective. South African Journal of Education, 37(1), 1-12. https://doi.ortg/10.15700/saje.v37n1a1282

Dakduk, S., Banderali, Z. S., & Woude, D. (2018). Acceptance of blended learning in execute education. SAGE Open, 1-16. https://doi.org/10.1177/2158244018800647

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). Governance and Sustainability in IS, IFIP AICP 366, 155-170

Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2017). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model. Inf Syst Front, 21, 719-734. https://doi.org/10.1007/s10796-017-9774-y

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. Inf Syst Front, 21, 719-734. https://doi.org/10.1007/s10796-017-9774-y

Dwivedi, Y. K., Rana, N. P., Tamilmani, K., & Raman. R. (2020). A meta-analysis based modified unified theory of acceptance and use of technology (meta-UTAUT): a review of emerging literature. Current Opinion in Psychology, 36, 13-18. https://doi.org/10.1016/j.copsyc.2020.03.008

Elkaseh, A. M., Wong, K. W., & Fung, C. C. (2015). The acceptance of e-learning as a tool for teaching and learning in Libyan Higher Education. IPASJ International Journal of Information Technology, 3(4), 1-11. https://www.researchgate. net/publication/308611851

Gilbert, B. (2020). Why Is Zoom Suddenly Everywhere? The INSIDER Blog https://www.businessinsider.com/zoom-video-everywhere-google-hangouts-skype-2020-3

Gogus, A., Nistor, N., & Lerche, T. (2012). Educational technology acceptance across cultures: A validation of the U.T.A.U.O.T in the context of Turkish National Culture. The Turkish Online Journal of Educational Technology, 11(4), 394-408.

Goodyear, P., & Ellis, R. (2008). University students’ approaches to learning:
rethinking the place of technology. Distance Education, 29(2), 141-152. https://doi.org/10.1080/01587910802154947

Harris, M. E. (2016). Incorporating a Training Construct into the Unified Theory of Acceptance and Use of Technology. All Graduate Theses and Dissertations. 4776. https://digitalcommons.usu.edu/etd/4776

Hwang, J. S., & Lee, H. J. (2018). A Meta-analysis of advanced UTAUT variables in the ICT industry: An analysis of published papers in Korean Journals. International Journal of Innovative Computing, Information and Control, 14(2), 757-766.

Ilci, A. (2014). Investigation of pre-service teachers’ mobile learning readiness levels and mobile learning acceptance levels. [Master Thesis, Moddle East Technical University].

Imarah, A. T. A., Zwain, A. A. 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 Kuta. Journal of Information Engineering and Applications, 3(10), 77-84.

Isaac, O., Abdullah, Z., Aldholay, A. H., & Ameen, A. A. (2019). Antecedents and outcomes of internet usage within organisations in Yemen: An extension of the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Asia-Pacific Management Review, 24, 335-354. https://doi.org/10.1016/j.apmrv. 2018.12.003

Jacobsen, M., Brown, B., & Lambert. D. (2013). Technology-enhanced learning environments in higher education: A review of the literature. Werklund School of Education, University of Calgary. http://dx.doi.org/10.11575/PRISM/31733

Jadil, Y., Rana, N. P., & Dwivedi, Y. K. (2021). A meta-analysis of the UTAUT model in the mobile banking literature: The moderating role of sample size and culture. Journal of Business Research, 132, 354-372. https://doi.org/10.1016/j.josres.2021.04.052

Jameel, A. S., Abdalla, S. N., Abduldarem, M., & Ahmad, A. R. (2020, November). Behavioural Intention to Use E-learning from student’s perspective during Covid-19 Pandemic [Conference Session]. 2020 2nd Annual International Conference on Information and Sciences (AiCIS), Fallujah, Iraq. https://doi.org/10.1109/AiCIS51645.2020.00035

Jang, M., Aavakare, M., Kim, S. & Nikou, S. (2020, June 14-17). The effects of digital literacy and information literacy on the intention to use digital technologies for learning – A comparative study in Korea and Finland [ITS Online Event]. International Telecommunications Society (ITS), Calgary. http://hdl.handle.net/ 10419/224858

Josep, G. (2021, September 21). 5 Reasons why online learning is the future of education. The educations.com Blog. https://www.educations.com/articles-and-advice/5-reasons-online-learning-is-future-of-education-17146

Kathryn, K. (2021). Kathryn Online University: Online Learning Platform in Myanmar. The KathrynUniversity Blog. https://www.kathrynuniversity.com/about-us/

Kennedy, G., Krause, K., Churchward, A., Judd, T., & Gray, K. (2008). First year students’ experiences with technology: Are they really Digital Natives? Australasian Journal of Educational Technology, 24(1), 108–122. https://doi.org/10.14742/ajet.1233

Khechine, H., Lakhal, S., & Ndjambou, P. (2016). A meta-analysis of the UTAUT model: Eleven years later. John Wiley & Sons, Ltd. https://doi.org/10.1002/cjas.1381

Khechine. H., & Augier, M. (2019). Adoption of a social learning platform in higher education: An Extended UTAUT Model implementation. Proceedings of the 52nd Hawaii International Conference on System Sciences, 53-63. https://hdl.handle.net/10125/59446

Kurt, O. E., & Tingoy, O. (2017). The acceptance and use of a virtual learning environment in higher education: an empirical study in Turkey, and the UK. Internaitonal Journal of Educational Technology in Higher Education, 14(1), 1-15. https://doi.org/10.1186/s41239-017-0064-z

Lai, P. C. (2017). The literature review of technology adoption models and theories for the novelty technology. Journal of Information Systems and Technology Management, 14(1), 21-38. https://doi.org/10.4301/S1807-17752017000100002

Lewis, C. C., Fretwell, C. E., Ryan, J., & Parham, J. B. (2013). Faculty use of established and emerging technologies in higher education: A Unified Theory of Acceptance and Use of Technology Perspective. International Journal of Higher Education, 2(2), 22-34. http://dx.doi.org/10.5430/ijhe.v2n2p22

Liebenberg, J., Benade, T., & Ellis, S. (2018). Acceptance of ICT: Applicability of the Unified Theory of Acceptance and Use of Technology (UTAUT) to South African Students. The African Journal of Information Systems, 10(3), 160-173.

Maina, M. K., & Nzuki, D. M. (2015). Adoption determinants of E-learning Management System in institutions of higher learning in Kenya: A case of selected universities in Nairobi Metropolitan. International Journal of Business and Social Science, 6(2), 233-248.

Moran, M., Hawkes, M., & Gayar, O. E. (2010). Tablet personal computer integration in higher education: Applying the unified theory of acceptance and use technology model to understand supporting factors. Journal of Educational Computing Research, 42(1), 79-101. https://doi.org/10.2190/EC.42.1.d

Nassuora, A. B. (2012). Students acceptance of mobile learning for higher education in Saudi Arabia. American Academic and Scholarly Research Journal. 4(2). https://doi.org/10.12785/ijlms/010101

Naveed, Q. N., Alam, M. M., & Tairan, N. (2020). Structural equation modeling for mobile learning acceptance by university students: An empirical study. Sustainability, 12, 8618, 1-17. https://doi.org/10.3390/su12208618

Nawaz, S. S., & Mohamed, R. (2020). Acceptance of mobile learning by higher educational institutions in Sri Lanka: An UTAUT2 Approach. Journal of Critical Reviews, 7(12), 1036-1049. http://dx.doi.org/10.31838/jcr.07.12.183

Nelson, K., Courier, M., & Joseph, G. W. (2011). An investigation of digital literacy needs of students. Journal of Information Systems Education, 22(2), 95–110.

Oye, N. D., Iahod, N. A., & Rabin, Z. A. (2011). A model of ICT acceptance and use for teachers in higher education institutions. International Journal of Computer Science and Communication Networks, 1(1), 22-40.

Pinochet, L. H. C., Nunes, G. V., & Herrero, E. (2019). Applicability of the Unified Theory of Acceptance and Use of Technology in Music Streaming Services for Young Users. Brazilian Journal of Marketing, 19(1), 147-162. https://doi.org/10.5585/remark.v18i1.4031

Raman, A., Don, Y., Khalid, R., Omar, M. S., & Ghani, M. (2014). Technology acceptance on Smart Board among teachers in Terenggance using UTAUT Model. Asian Social Science, 10(11), 84-91. http://dx.doi.org/10.5539/ass.v10n11p84

Ramsden, P. (1998). Studying learning: Improving teaching. Improving learning: new perspectives, London: Kogan, 13–31.

Raouna, K. (2020, September 4). 27 Best Online Learning Platforms. The LearnWorlds Blog. https://www.learnworlds.com/online-learning-platforms/

Salloum, S. A., Magubleh, W., Mhamdi, C., Kurdi, B. A., & Shaalan, K. (2018). Studying the social media adoption by university students in the United Arab Emirates. International Journal of Information Technology and Language Studies, 2(3), 83-95.

Sammarraie, M. K. A., Ismail, N. A., Osman, W. R. B. S., Swidi, & Faieq, A. K. (2013). A meta-analysis of the unified theory of acceptance and use of technology studies among several countries. Electronic Government an International Journal, 10(34), 343–360. https://doi.org/10.1504/EG.2013.058787

Samsudeen, S. N., & Mohamed, R. (2019). University students’ intention to use e-learning systems. Interact. Technol. Smart Educ., 16(3), 219–238. https://doi.org/10.1108/ITSE-11-2018-0092

Schaik, P. (2009). Unified theory of acceptance and use for websites used by students in higher education. Journal of Educational Computing Research, 40 (2), 229-257. http://dx.doi.org/10.2190/EC.40.2.e

Sharma, S. K., Gaur, A., Saddikuti, V., & Rastogi, A. (2017). Structural equation model (SEM)-neural network (NN) model for predicting quality determinants of e-learning management systems. Behaviour & Information Technology, 36(10), 1053–1066.

Shen, C., Ho, J., Ly, P. T. M., & Kuo, T. (2019). Behavioural intentions of using virtual  reality  in  learning:  perspectives  of  acceptance  of information technology and learning style. Virtual Real, 23(3), 313-324. https://doi.org/10.1007/s10055-018-034-1

Taiwo, A. A., & Downe, A. G. (2013). The Theory of User Acceptance and Use of Technology (UTAUT): A Meta-analytic Review of Empirical Findings. Journal of Theoretical and Applied Information Technology, 49(1), 48-58.

Teo, T. (2011). Technology Acceptance in Education. Rotterdam Sensepublishers. https://users.ugent.be/

Thomas, T. D., Singh, L., & Gaffar, K. (2013). The utility of the UTAUT model in explaining mobile learning adoption in higher education in Guyana. International Journal of Education and Development using Information and Communication Technology, 9(3), 71-85.

Vasconcelos, P., Furtado, E. S., Pinheiro, P., & Furtado, L. (2020). Multidisciplinary criteria for the quality of e-learning services design. Computers in Human Behavior, 107, 105979. https://doi.org/10.1016/j.chb.2019.04.003

Venkatesh, V., & Morris, M., Davis, G., & Davis, F. (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, 36(1), 157–178. https://doi.org/10.2307/41410412

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, 36(1), 157-178.

Vershitskaya, E., Mikhaylova, A., Gilmanshina, S., Dorozhkin, E., & Epaneshnikov, V. (2020). Present-day management of universities in Russia: Prospects and challenges of e-learning. Education and Information Technologies. 25(1), 611-625. https://doi.org/10.1007/s10639-019-09978-0.

Wai Wai Than, & Nu Nu Khaing. (2020). Mobile learning technology acceptance of students from universities of education. Journal of Research and Innovation, 4(2), 105-109.

Wang, L. Y., Lew, S. L., Lau, S. H., & Leow, M. C. (2019). Usability factors predicting continuance of intention to use cloud e-learning application. Heliyon, 5(6), e01788. https://doi.org/10.1016/j.heliyon.2019.e01788

Cite this article:

Wai Wai Than, Ei Mon Kyaw & Htet Zaw Htoo (2021). A meta-analytic structural equation modelling on the Unified Theory of Acceptance and use of technology in higher education. International Journal of Educational Management and Development Studies, 2(4), 42-69. https://doi.org/10.53378/352074

License:

ai generated, holographic, interface-8578468.jpg
library, people, study-2245807.jpg
bookshelf, books, library-2907964.jpg
Scroll to Top