Browse > Article
http://dx.doi.org/10.13106/jafeb.2021.vol8.no9.0035

The Nexus Between Factors Affecting eBook Acceptance and Learning Outcomes in Malaysia  

ARHAM, Ahmad Fadhly (Faculty of Business and Management, Universiti Teknologi MARA)
NORIZAN, Nor Sabrena (Faculty of Business and Management, Universiti Teknologi MARA)
MAZALAN, Maz Izuan (Faculty of Business and Management, Universiti Teknologi MARA)
BOGAL, Norazamimah (Faculty of Business and Management, Universiti Teknologi MARA)
NORIZAN, Mohd Natashah (School of Microelectronic Engineering, Universiti Malaysia Perlis)
Publication Information
The Journal of Asian Finance, Economics and Business / v.8, no.9, 2021 , pp. 35-43 More about this Journal
Abstract
This study aims to investigate factors affecting eBook acceptance and learning outcomes among students experiencing online distance learning. As conventional textbooks are now switched into eBooks, the effects of contextual factors including lecturer, student computer competency, content and design of the course, access ability, infrastructure, and university support on eBook acceptance and learning outcome needs to be evaluated. The sample of this study is represented by students at the Universiti Teknologi MARA, City Campus Melaka, undertaking 'strategic management course'. Non-probability random sampling was selected as the sampling technique and a purposive sampling method was chosen to select the samples. The samples comprised 171 students randomly selected through Google Form. The questionnaire data was analyzed by using PLS-SEM. The results indicated that these factors contributed 62.3% variations in the eBook acceptance and 67.1% variations in the learning outcomes. The strongest factor affecting both dependent variables was content and design of course. Managerial implication suggested that the content for all courses taught through the eBook platform needs to be revisited and improved in accordance with the mode of online deliverance. Tutorial on how to navigate the eBook platform is important to all users as this would enhance acceptance and produce better learning outcomes among students.
Keywords
eBook Acceptance; Learning Outcome; Open Distance Learning; Malaysia;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Nehari, M., & Bender, H. (1978). Meaningfulness of a learning experience: A measure for educational outcomes in higher education. Higher Education, 7(1), 1-11. https://doi.org/10.1007/BF00129786   DOI
2 Shiratuddin, N. Landoni, M., Gibb, F., & Hassan, S. (2003). E-Book technology and its potential applications in distance education. Journal of Educational Technology & Society, 6(4), 112-124, 2003. http://journals.tdl.org/jodi/article/view/90/89
3 Soong, B. M. H., Chan, H. C., Chua, B. C., & Loh, K. F. (2001). Critical Success Factors for Online Course Resources. Computer and Education, 36(2), 101-120.   DOI
4 Park, M. J., & Lee, J. K. (2021). Investigation of college students' intention to accept online education services: An application of the UTAUT model in Korea. Journal of Asian Finance, Economics, and Business, 8(6), 327-336. https://doi.org/10.13106/jafeb.2021.vol8.no6.0327   DOI
5 Pham, Q. T., & Tran, T. P. (2020). The acceptance of e-learning systems and the learning outcome of students at universities in Vietnam. Knowledge Management & E-Learning, 12(1), 63-84. https://doi.org/10.34105/j.kmel.2020.12.004   DOI
6 Roslina, W., Fahmy, S., Fariha, Z. Haslinda, N. Yacob, A., Sukinah, N., & Suhana, N. (2003). The Effect of E-book on Students' Learning Styles a Study in Terengganu, Malaysia. Information and Communication Technology, 10(4), 411-429. https://doi.org/10.2991/icaicte.2013.45   DOI
7 Selim, H. M. (2007). Critical success factors for e-learning acceptance: Confirmatory factor models. Computers & Education, 49(2), 396-413. https://doi.org/10.1016/j.compedu.2005.09.004   DOI
8 Shepperd, J. A., Grace, J. L., & Koch, E. J. (2008). Evaluating the electronic textbook: Is it time to dispense with the paper text? Teaching of Psychology, 35(1), 2-5. https://doi.org/10.1080/00986280701818532   DOI
9 Lam, P., Lam, J., & Mcnaught, C. (2010). How usable are eBooks in an eLearning environment? International Journal of Continuing Engineering Education and Life-Long Learning, 20(1), 6-20. https://doi.org/10.1504/IJCEELL.2010.031645   DOI
10 Byrne, B. M. (2016). Structural equation modeling with AMOS basic concepts, applications, and programming (3rd ed.). New York: Routledge.
11 Cohen, J. (1988). Statistical power analysis (2nd ed.). Hillsdale NJ: Erlbaum.
12 Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Prentice-Hall.
13 Pham, Q. T., & Huynh, M. C. (2017). Impact factor on learning achievement and knowledge transfer of students through e-learning system at Bach Khoa University, Vietnam. Proceedings of the International Conference on Computing Networking and Informatics CCNI, Cagliari, Italy, July 1-4 2020 (pp. 394-409). https://doi.org/10.1007%2F978-3-319-95171-3_31   DOI
14 Akpokodje, V., & Ukwuoma, S. C. (2016). Evaluating the impact of ebook on reading motivation of students of higher learning in Nigerian Universities. IFLA World Library and Information Congress, 82nd IFLA General Conference and Assembly, Columbus, Ohio, United States of America, 13-19 August 2016 (pp. 1-15). http://library.ifla.org/1506/1/189-akpokodje-en.pdf
15 Allo, M. D. G. (2020). Is online learning good in the midst of the COVID-19 Pandemic? The case of EFL learners. Journal of Sinestesia, 10, 1-10. https://doi.org/10.11251/jos.2020.07.114   DOI
16 Bozkurt, A., & Sharma, R. C. (2020). Emergency remote teaching in a time of global crisis due to coronavirus pandemic. Asian Journal of Distance Education Asian Journal of Distance Education, 15(1), 1-6. https://doi.org/10.5281/zenodo.3778083   DOI
17 Embong, A. M., Noor, A. M. Hashim, H. M., Ali, R. M., & Shaari, Z. H. (2019). E-books as textbooks in the classroom. European Journal of Dentistry, 13(1), 53-57. https://doi.org/10.1016/j.sbspro.2012.06.903   DOI
18 Hutahayan, B. (2021). The effect of changes of learning systems on learning outcomes in COVID-19 pandemic conditions. Journal of Asian Finance, Economics, and Business, 8(3), 695-704. https://doi.org/10.13106/jafeb.2021.vol8.no3.0695   DOI
19 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/10.2307/3151312   DOI
20 Hair, J. F., Babin, B. J., & Krey, N. (2017). Covariance-based structural equation modeling in the Journal of Advertising: Review and recommendations. Journal of Advertising, 46(1), 163-177. https://doi.org/10.1080/00913367.2017.1281777   DOI
21 Kang, Y. Y., Wang. M. J. J., & Lin, R. (2009). Usability evaluation of e-books. Display, 30(2), 49-52. https://doi.org/10.1016/j.displa.2008.12.002   DOI
22 Keramati, A., Afshari-Mofrad, M., Amir-Ashayeri, D., & Nili, A. (2011). The intervening role of infrastructures in e-learning performance. Communications in Computer and Information Science, 194, 646-652. https://doi.org/10.1007/978-3-642-22603-8_56   DOI
23 Muhsin, S. Nurkhin, A., Pramusinto, H., Afsari, N., & Arham, A. F. (2020). The relationship of good university governance and student satisfaction. International Journal of Higher Education, 9(1), 1-10. https://doi.org/10.5430/ijhe.v9n1p1   DOI