Factors Affecting Intention to Use E-Learning Systems in Selected Universities in Phnom Penh, Cambodia

Authors

  • Sothearith Try PhD Student ITM-Assumption University
  • Jirapun Daengdej
  • Rawin Vongurai

DOI:

https://doi.org/10.14456/abacodijournal.2022.15
CITATION
DOI: 10.14456/abacodijournal.2022.15
Published: 2022-11-03

Abstract

This research investigates factors influencing the intention to use e-learning systems in selected universities in Phnom Penh, Cambodia. The conceptual framework has been developed by adopting previous theoretical studies and research models of the modified unified theory of acceptance and use of technology (UTAUT2). Five hundred questionnaires were collected from undergraduate students through Google form survey with universities’ administration assistance. Multi-stage sampling was used: the first stage is stratified random sampling followed by purposive sampling. Collected data were analyzed using the Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) to confirm the model fit and hypothesis testing. The findings showed that performance expectancy, effort expectancy and self-efficacy did not have any influence on behavioral intention. However, social influence had the strongest influence on behavioral intention to use e-learning systems, followed by facilitating conditions. Moreover, facilitating conditions and behavioral intention had a significant influence on use behavior of e-learning systems. This study provided theoretical implications for researchers related to technology adoption and information for training institutions, universities, schools and academic staff on issues they need to focus on when they wish to launch any new system or online services.

References

Ahmad, M. O., Markkula, J., & Oivo, M. (2013). Factors affecting e‐government adoption in Pakistan: a citizen's perspective. Journal of Transforming Government: People, Process Policy. https://doi.org/10.1108/17506161311325378

Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T

AlAwadhi, S., & Morris, A. (2008). The Use of the UTAUT Model in the Adoption of E-government Services in Kuwait. Proceedings of the 41st annual Hawaii international conference on system sciences (HICSS 2008). https://doi.org/10.1109/HICSS.2008.452

Ali, F., Nair, P. K., & Hussain, K. (2016). An assessment of students' acceptance and usage of computer supported collaborative classrooms in hospitality and tourism schools. Journal of Hospitality, Leisure, Sport & Tourism Education, 18, 51-60. http://dx.doi.org/10.1016/j.jhlste.2016.03.002

Alsharif, F. F. (2013). Investigating the factors affecting on-line shopping adoption in Saudi Arabia De Montfort University].

Chau, P. Y., & Hu, P. J.-H. (2002). Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories. Information & management, 39(4), 297-311. https://doi.org/10.1016/S0378-7206(01)00098-2

Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS quarterly, 189-211. https://doi.org/249688

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. https://www.jstor.org/stable/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

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. Journal of Information systems frontiers, 21(3), 719-734. https://doi.org/10.1007/s10796-017-9774-y

Fogg, B. J. (2009). The behavior grid: 35 ways behavior can change. Proceedings of the 4th international Conference on Persuasive Technology,

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. https://doi.org/3151312

Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.

Jankowicz, A. (1995). Negotiating shared meanings of the management process: A discourse in two voices. Journal of Constructivist Psychology, 8(2), 117-128. https://doi.org/10.1080/10720539508405246

Kijsanayotin, B., Pannarunothai, S., & Speedie, S. M. (2009). Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model. International journal of medical informatics, 78(6), 404-416. https://doi.org/10.1016/j.ijmedinf.2008.12.005

Kocaleva, M., Stojanovic, I., & Zdravev, Z. (2015). Model of e-learning acceptance and use for teaching staff in Higher Education Institutions. International Journal of Modern Education Computer Science, 7(4), 23-31. https://doi.org/10.5815/ijmecs.2015.04.03

Kolog, E. A., Sutinen, E., Vanhalakka-Ruoho, M., Suhonen, J., & Anohah, E. (2015). Using unified theory of acceptance and use of technology model to predict students’ behavioral intention to adopt and use E-counseling in Ghana. Journal of International Journal of Modern Education Computer Science, 7(11), 1-11. https://doi.org/ 10.5815/ijmecs.2015.11.01

Kurfalı, M., Arifoğlu, A., Tokdemir, G., & Paçin, Y. (2017). Adoption of e-government services in Turkey. Journal of Computers in Human Behavior, 66, 168-178. https://doi.org/ 10.1016/j.chb.2016.09.041

Lakhal, S., Khechine, H., & Pascot, D. (2013). Student behavioural intentions to use desktop video conferencing in a distance course: integration of autonomy to the UTAUT model. Journal of Computing in Higher Education, 25(2), 93-121. https://doi.org/ 10.1007/s12528-013-9069-3

Lam, L. W. (2012). Impact of competitiveness on salespeople's commitment and performance. Journal of Business Research, 65(9), 1328-1334. https://doi.org/10.1016/j.jbusres.2011.10.026

Maddux, J. E., Sherer, M., & Rogers, R. W. (1982). Self-efficacy expectancy and outcome expectancy: Their relationship and their effects on behavioral intentions. Cognitive therapy research, 6(2), 207-211. https://doi.org/10.1007/BF01183893

Marshall, S., Taylor, W., Thang, S. M., & Wong, S. L. (2010). Impact of ICT on teaching and learning in Asia. International Journal of Education Development using Information Communication Technology, 6(3), 2.

Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information systems research, 2(3), 192-222. https://doi.org/10.1287/isre.2.3.192

Nair, P. K., Ali, F., & Leong, L. C. (2015). Factors affecting acceptance & use of ReWIND. Interactive Technology and Smart Education, 12(3), 183-201. https://doi.org/10.1108/itse-02-2015-0001

Rahim, M. A., & Magner, N. R. (1995). Confirmatory factor analysis of the styles of handling interpersonal conflict: First-order factor model and its invariance across groups. Journal of applied psychology, 80(1), 122. https://doi.org/10.1037/0021-9010.80.1.122

Raman, A., Don, Y., Khalid, R., Hussin, F., Fauzee, O., Sofian, M., & Ghani, M. (2014). Technology acceptance on smart board among teachers in Terengganu using UTAUT model. Asian Social Science, 10(11), 84-91. https://doi.org/10.5539/ass.v10n11p84

Rana, N. P., Dwivedi, Y. K., Lal, B., Williams, M. D., & Clement, M. (2017). Citizens’ adoption of an electronic government system: towards a unified view. Journal of Information systems frontiers, 19(3), 549-568. https://doi.org/10.1007/s10796-015-9613-y

Samnang, A., Daengdej, J., & Vonggurai, R. (2021). Factors Affecting Acceptance and Use of E-Tax Services among Medium Taxpayers in Phnom Penh, Cambodia. Journal of Asian Finance, Economics Business, 8(7), 79-90. https://doi.org/10.13106/jafeb.2021.vol8.no7.0079

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

Sekaran, U., & Bougies, R. (2013). Research Methods for Business. Six edition. John Wolfley Sons Ltd.

Sethy, I. (2010). Master Plan for Information and Communication Technology in Education. Journal of Ministry of Education, Youth and Sport.

Shafi, A.-S., & Weerakkody, V. (2009). Understanding citizens' behavioural intention in the adoption of e-government services in the state of Qatar. ECIS,

Tarhini, A., Al-Busaidi, K. A., Mohammed, A. B., & Maqableh, M. (2017). Factors influencing students’ adoption of e-learning: a structural equation modeling approach. Journal of International Education in Business. 10 (2), 164-182. https://doi.org/10.1108/JIEB-09-2016-0032

Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176. https://www.jstor.org/stable/23011007

Tongco, M. D. C. (2007). Purposive sampling as a tool for informant selection. Ethnobotany Research, 5, 147-158. https://ethnobotanyjournal.org/index.php/era/article/view/126

Umrani-Khan, F., & Iyer, S. (2009). ELAM: a Model for Acceptance and use of e-Learning by Teachers and Students. Proceedings of the International Conference on e-Learning, Institute of Technology Bombay, Mumbai, India,

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. MANAGEMENT SCIENCE, 46(2), 186-204. https://doi.org/ 10.1287/mnsc.46.2.186.11926

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://www.jstor.org/stable/30036540

Wang, Y.-S., & Shih, Y.-W. (2009). Why do people use information kiosks? A validation of the Unified Theory of Acceptance and Use of Technology. Journal of Government information quarterly, 26(1), 158-165. https://doi.org/10.1016/j.giq.2008.07.001

Wiafe, I., Koranteng, F. N., Tettey, T., Kastriku, F. A., & Abdulai, J.-D. (2019). Factors that affect acceptance and use of information systems within the Maritime industry in developing countries. Journal of Systems and Information Technology, 22(1), 21-45. https://doi.org/10.1108/JSIT-06-2018-0091

Yakubu, M. N., & Dasuki, S. I. (2019). Factors affecting the adoption of e-learning technologies among higher education students in Nigeria: A structural equation modelling approach. Information Development, 35(3), 492-502. https://doi.org/10.1177%2F0266666918765907

Downloads

Published

2022-11-03

How to Cite

Try, S., Daengdej, J. ., & Vongurai, R. . (2022). Factors Affecting Intention to Use E-Learning Systems in Selected Universities in Phnom Penh, Cambodia. ABAC ODI JOURNAL Vision. Action. Outcome, 10(1), 13-27. https://doi.org/10.14456/abacodijournal.2022.15