How to cite this paper
Bamaga, A., Terzis, S & Zafar, B. (2024). Quality factors impacting e-learning within the mobile environment in Saudi Arabia universities: An interview study.International Journal of Data and Network Science, 8(1), 269-288.
Refrences
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Alharbi, S., & Drew, S. (2014). Mobile learning-system usage: An integrated framework to measure students' behavioural intention. Paper presented at the 2014 Science and Information Conference, London, UK.
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Almaiah, M., & Alamri, M. (2018). Proposing a new technical quality requiremnts framework for mobile learning applications. Journal of Theoretical and Applied Information Technology, 96(20), 6955-6968.
Almaiah, M. A., & Al Mulhem, A. (2019). Analysis of the essential factors affecting of intention to use of mobile learning applications: A comparison between universities adopters and non-adopters. Education and Information Technologies, 24, 1433-1468.
Almaiah, M. A., & Man, M. (2016). Empirical investigation to explore factors that achieve high quality of mobile learning system based on students’ perspectives. an international journal of Engineering science and technology, 19(3), 1314-1320.
Almofadi, N. (2021). Investigating the experiences of lecturers using mobile technology to teach English at Saudi universities. United Kingdom: Liverpool John Moores University.
Alorfi, A. (2018). An Extended Information System Success Model for Mobile Learning Usage in Saudi Arabia Universities. Phd, Universiti Utara Malaysia Sintok, Malaysia.
Alqahtani, M., & Mohammad, H. (2015). Mobile applications' impact on student performance and satisfaction. Turkish Online Journal of Educational Technology-TOJET, 14(4), 102-112.
Alqatan, S., Noor, N. M. M., Man, M., & Mohemad, R. (2017). A theoretical discussion of factors affecting the acceptance of m-commerce among SMTEs by integrating TTF with TAM. International Journal of Business Information Systems, 26(1), 66-111.
Alrasheedi, M., Capretz, L. F., & Raza, A. (2015). Instructor perspectives of mobile learning platform: An empirical study. International Journal of Computer Science & Information Technology (IJCSIT), 7(3), 27-40.
Alsharafat, M. E. A. (2021). A theoretical discussion of factors affecting the acceptance of M-learning by integrating is success model with Tam model. Journal of Theoretical and Applied Information Technology, 99(17), 4213-4259.
Alsharedeh, R. H., Ababneh, H. T., Alqatan, S., & Thneibat, H. (2022). An Empirical Investigation On Factors Influencing Erp Alignment With Operational Performance Of Jordan Pharmaceutical Companies. Journal of Theoretical and Applied Information Technology 100(6), 1729-1776.
Alshurideh, M. T., Al Kurdi, B., AlHamad, A. Q., Salloum, S. A., Alkurdi, S., Dehghan, A., . . . Masa’deh, R. e. (2021). Factors affecting the use of smart mobile examination platforms by universities’ postgraduate students during the COVID-19 pandemic: An empirical study. Informatics, 8(2), 32-52.
Alubthne, F. O. (2018). Exploring the quality needs of Saudi Electronic University students: a learner perspective. PhD, Ohio University, Ohio.
Aman, A., Prasojo, L. D., Sofwan, M., Mukminin, A., Habibi, A., & Yaqin, L. N. (2020). Factors Affecting Indonesian Pre-Service Teachers' Use of m-LMS: A Mix Method Study. Int. J. Interact. Mob. Technol., 14(6), 137-147.
Annan, N. K. (2014). Leveraging mobile computing and communication technologies in education: Incorporation of mobile learning into tertiary education: Department of Electronic Systems, Aalborg University.
Baker, R., & Papp, R. (2004). Validation and Application of an Objectives Analysis Tool for Course Evaluation. Paper presented at the the Tenth Americas Conference on Information Systems, New York.
Bengtsson, M. (2016). How to plan and perform a qualitative study using content analysis. NursingPlus open, 2, 8-14.
Berelson, B. (1952). Content analysis in communication research. Glencoe, IL: Free Press.
Bhuasiri, W., Xaymoungkhoun, O., Zo, H., Rho, J. J., & Ciganek, A. P. (2012). Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Computers & Education, 58(2), 843-855.
Binyamin, S. S. (2019). Using the technology acceptance model to measure the effects of usability attributes and demographic characteristics on student use of learning management systems in Saudi higher education. PhD, Edinburgh Napier University, Scotland.
Boyatzis, R. E. (1998). Transforming qualitative information: Thematic analysis and code development. USA: sage.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101.
Buhalis, D., & Peters, M. (2006). SMEs in tourism. MA: Routledge.
Büyüközkan, G., Feyzioğlu, O., & Ruan, D. (2007). Fuzzy group decision-making to multiple preference formats in quality function deployment. Computers in Industry, 58(5), 392-402.
Castiblanco Jimenez, I. A., Cepeda García, L. C., Marcolin, F., Violante, M. G., & Vezzetti, E. (2021). Validation of a TAM Extension in Agriculture: Exploring the Determinants of Acceptance of an e-Learning Platform. Applied Sciences, 11(10), 4672-4692.
Cheng, Y. M. (2012). Effects of quality antecedents on e‐learning acceptance. Internet Research, 22(3), 361-390.
Chisanu, J., Sumalee, C., Issara, K., & Charuni, S. (2012). Design and develop of constructivist learning environment on learning management system. Procedia-Social and Behavioral Sciences, 46, 3426-3430.
Clark, J. D., & Ed, M. (2007). Learning and teaching in the mobile learning environment of the twenty-first century. Paper presented at the Instructional Design Specialist, Austin, Texas: Austin Community College.
Clausen, J. M. (2007). Beginning teachers’ technology use: First-year teacher development and the institutional context’s affect on new teachers’ instructional technology use with students. Journal of research on technology in education, 39(3), 245-261.
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information systems research, 3(1), 60-95.
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