1 |
Raza, S. A., Umer, A., Qazi, W., & Makhdoom, M. (2018). The effects of attitudinal, normative, and control beliefs on M-Learning adoption among the students of higher education in Pakistan. Journal of Educational Computing Research, 56(4), 563-588. https://doi.org/10.1177/0735633117715941
DOI
|
2 |
Ambarwati, R., Harja, Y. D., & Thamrin, S. (2020). The role of facilitating conditions and user habits: A case of Indonesian online learning platform. The Journal of Asian Finance, Economics, and Business, 7(10), 481-489. https://doi.org/10.13106/jafeb.2020.vol7.no10.481
DOI
|
3 |
Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education, 59(3), 1054-1064. https://doi.org/10.1016/j.compedu.2012.04.015
DOI
|
4 |
Gikas, J. G., & Grant, M. M. (2013). Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones & social media. The Internet and Higher Education, 19(10), 18-26. https://doi.org/10.1016/J.IHEDUC.2013.06.002
DOI
|
5 |
Hamidi, H., & Jahanshaheefard, M. (2019). Essential factors for the application of education information system using mobile learning: A case study of students of the university of technology. Telematics and Informatics, 38, 207-224. https://doi.org/10.1016/J.TELE.2018.10.002
DOI
|
6 |
Junco, R., & Mastrodicasa, J. (2007). Connecting to the net generation: What higher education professionals need to know about today's students. Washington, DC: NASPA.
|
7 |
Jung, H. (2018). Trends and future directions of corporate e-learning contents. The Journal of Industrial Distribution & Business, 9(2), 65-72. https://doi.org/10.13106/ijidb.2018.vol9.no2.65
DOI
|
8 |
Kukulska-Hulme, A. (2009). Will mobile learning change language learning? ReCALL, 21(02), 157-165. https://doi.org/10.1017/S0958344009000202
DOI
|
9 |
Saroia, A. I., & Gao, S. (2019). Investigating university students' intention to use mobile learning management systems in Sweden. Innovations in Education and Teaching International, 56(5), 569-580. https://doi.org/10.1080/14703297.2018.1557068
DOI
|
10 |
Samsudeen, S. N., Thelijjagoda, S., & Sanjeetha, M. B. F. (2021). Social media adoption: Small and medium-sized enterprises' perspective in Sri Lanka. Journal of Asian Finance, Economics, and Business, 8(1), 759-766. https://doi.org/10.13106/jafeb.2021.vol8.no1.759
DOI
|
11 |
Soetjipto, N., Kurniawan, G., Sulastri, S., & Riswanto, A. (2020). Supply chain analysis in public works: The role of work climate, supervision, and organizational learning. The Journal of Asian Finance, Economics, and Business, 7(12), 1065-1071. https://doi.org/10.13106/jafeb.2020.vol7.no12.1065
DOI
|
12 |
Norris, D. M., Mason, J., & Lefrere, P. (2003). Transforming e-knowledge: A revolution in the sharing of knowledge. Ann Arbor, MI: Society for College and University Planning.
|
13 |
Esposito Vinzi, V., Chin, W. W., Henseler, J., & Wang, H. (2010). Handbook of partial least squares: Concepts, methods, and applications. New York: Springer.
|
14 |
Wang, D., & Lam, K. C. (2019). Relationship between ambidexterity learning and innovation performance: The moderating effect of redundant resources. The Journal of Asian Finance, Economics, and Business, 6(1), 205-215. https://doi.org/10.13106/jafeb.2019.vol6.no1.205
DOI
|
15 |
Wang, T., Jung, C., Kang, M., & Chung, Y. (2014). Exploring determinants of adoption intentions towards enterprise 2.0 applications: An empirical study. Behaviour & Information Technology, 33(10), 1048-1064. https://doi.org/10.1080/0144929X.2013.781221
DOI
|
16 |
Azizi, S. M., & Khatony, A. (2019). Investigating factors affecting medical sciences students' intention to adopt mobile learning. BMC Medical Education, 19(1), 1-10. https://doi.org/10.1186/s12909-019-1831-4
DOI
|
17 |
Bartholomew, S. R., Reeve, E., Veon, R., Goodridge, W., Lee, V. R., & Nadelson, L. (2017). Relationships between access to mobile devices, student self-directed learning, and achievement. Journal of Technology Education, 29(1), 1-12. https://doi.org/10.21061/jte.v29i1.a.1
DOI
|
18 |
Davis, F. (1989). Perceived usefulness, perceived ease of use acceptance of information technology. MIS Quarterly, 13(3), 139-339. https://doi.org/10.2307/249008
DOI
|
19 |
Hair, F., Hult, G., & Ringle, M. (2013). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks: Sage Publications.
|
20 |
Hair, J., Sarstedt, M., & Ringle, C. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414-433. https://doi.org/10.1007/s11747-011-0261-6
DOI
|
21 |
Tapscott, D. (1998). Growing up digital. New York: McGraw-Hill Companies.
|
22 |
Hamidi, H., & Chavoshi, A. (2018). Analysis of the essential factors for the adoption of mobile learning in higher education: A case study of students of the University of Technology. Telematics and Informatics, 35(4), 1053-1070. https://doi.org/10.1016/j.tele.2017.09.016
DOI
|
23 |
Herrington, A., & Herrington, J. (2007). Authentic mobile learning in higher education. http://www.aare.edu.au/data/publications/2007/her07131.pdf
|
24 |
Venkatesh, V., Morris, M., Davies, 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
DOI
|
25 |
Malikhao, P., & Servaes, J. (2010). The media use of American Youngsters in the age of Narcissism: Surviving in a 24/7 media shock and awe - distracted by everything. Telematics and Informatics, 28(2), 66-76. https://doi.org/10.1016/j.tele.2010.09.005
DOI
|
26 |
Khan, U., Zhang, Y., & Salik, M. (2020). The impact of information technology on organizational performance: The mediating effect of organizational learning. The Journal of Asian Finance, Economics, and Business, 7(11), 987-998. https://doi.org/10.13106/jafeb.2020.vol7.no11.987
DOI
|
27 |
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://doi.org/10.31838/jcr.07.12.183
DOI
|
28 |
Samsudeen, S. N., & Mohamed, R. (2019). University students' intention to use e-learning systems. Interactive Technology and Smart Education, 16(3), 219-238. https://doi.org/10.1108/ITSE-11-2018-0092
DOI
|
29 |
Sharma, S. K., Sarrab, M., & Al-Shihi, H. (2016). Development and validation of mobile learning acceptance measure. Interactive Learning Environments, 25(7), 847-858. https://doi.org/10.1080/10494820.2016.1224250
DOI
|