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International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Continuance Intention to Study Using the Online Distance Learning System in the Context of Online Distance Learners: Malaysian Context

Piaralal S. K, Zahir Osman, Rethina V S, Nor Munira Mahmood, Hidayati Kasuma

http://dx.doi.org/10.6007/IJARBSS/v14-i1/20571

Open access

Purpose: This study explores the transformative impact of COVID-19 on the educational landscape in Malaysia, highlighting online distance learning as the prevailing mode. The focus is on sustaining this shift through high retention and low attrition rates. The research aims to investigate how system quality, sociability quality, and self-managed learning influence student satisfaction with open and distance learning systems. Furthermore, it delves into their impact on the continuance intention to study in such environments, examining satisfaction as a mediating factor.
Research Methodology: Conducted quantitatively, data were collected from 371 respondents across three prominent open and distance learning universities in Malaysia: Open University Malaysia, Wawasan University, and Asia E-University. Screening using SPSS 18 eliminated 28 respondents, leaving 363 for analysis through PLS-SEM software version 4.0.
Findings: Results reveal positive influences of sociability quality, system quality, and self-managed learning on student satisfaction. Additionally, these factors positively contribute to the continuance intention to study in open and distance learning systems. Satisfaction emerges as a crucial mediating factor in this relationship.
Limitation: Confined to three Malaysian open and distance learning universities, the study incorporates a model with five latent variables and 25 observed variables. Each construct comprises five measurement items, including three independent variables (sociability quality, system quality, and self-management learning), one mediator (satisfaction), and one dependent variable (intention).
Implication: The findings emphasize the pivotal role of satisfaction in shaping the continuance intention to study. Facilitators and tutors should prioritize aspects like social interaction, learning system quality, and self-managed learning to enhance the learning experience and tackle high attrition and retention rates.
Value: The study contributes insights into variables influencing attrition and retention rates among open and distance learning learners. Drawing data from major Malaysian ODL universities, it provides valuable perspectives for institutions aiming to understand and improve the learning experience for ODL students.

Ahmad, W., & Sun, J. (2018). Modeling consumer distrust of online hotel reviews. International Journal of Hospitality Management, 71, 77-90.
Al-Fedaghi, S. (2012). A conceptual foundation for the Shannon-Weaver model of communication. International journal of soft computing, 7(1), 12-19.
Amoroso, D., & Lim, R. (2017). The mediating effects of habit on continuance intention. International Journal of Information Management, 37(6), 693–702.
Bandura, A. (2006). Guide for constructing self-efficacy scales. Self-efficacy beliefs of adolescents, 5(1), 307-337.
Bhattacherjee, A. (2001). Understanding information System continuance: An expectation- confirmation model. MIS Quarterly, 25(3), 351.
Caprara, G. V., Barbaranelli, C., Steca, P., & Malone, P. S. (2008). Teachers’ self-efficacy beliefs as determinants of job satisfaction and students’ academic achievement: A study at the school level. Journal of School Psychology, 44(6), 473-490.
Chang, B., Meng, L., Haber, E., Tung, F., & Begert, D. (2017). Multi-level residual networks from dynamical systems view. arXiv preprint arXiv:1710.10348.
Chen, C., Wang, J., Heo, Y., & Kishore, S. (2013). MPC-based appliance scheduling for residential building energy management controller. IEEE Transactions on Smart Grid, 4(3), 1401-1410.
Cheung, W. T., & Zheng, J. (2018). Asian Education and Development Studies. Studies, 7(1), 102-117.
Chiu, C. M., Hsu, M. H., Lai, H., & Chang, C. M. (2012). Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents. Decision Support Systems, 53(4), 835-845.
Cho, V., Cheng, T. C. E., & Lai, W. M. J. (2009). The Role of Perceived User Interface Design in continued usage intention of self-paced e-learning tools. Computers and Education, 53(2), 216-227. 1080
Chui, K., Liang, T.-P., Turban, E., & Hsu, C.-L. (2019). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42.
Da?han, G., & Akkoyunlu, B. (2016). Modeling the continuance usage intention of online learning environments. Computers in Human Behavior, 60, 198-211.
DeLone, W. H., & McLean, E. R. (2002, January). Information systems success revisited. In Proceedings of the 35th annual Hawaii International Conference on System Sciences (pp. 2966-2976). IEEE.
Dwivedi, Y. K., Slade, E., Rana, N. P., Clement, M., Williams, M. D., Simintiras, A. C., Lal, B., & Dwivedi, Y. K. (2020). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 55, 102165.
Field, A. (2013). Discovering statistics using IBM SPSS statistics. sage.
Gan, C., & Li, H. (2018). Understanding the effects of gratifications on the continuance intention to use WeChat in China: A perspective on uses and gratifications. Computers in Human Behavior, 78, 306-315.
Gao, Q., Rau, P. L. P., & Salvendy, G. (2010). Understanding factors affecting perceived sociability of social software. Behavior & Information Technology, 29(6), 557-571.
Hair Jr, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2023). Advanced issues in partial least squares structural equation modeling. Sage publications.
Hair, J. F., Astrachan, C. B., Moisescu, O. I., Radomir, L., Sarstedt, M., Vaithilingam, S., & Ringle, C. M. (2021). Executing and interpreting applications of PLS-SEM: Updates for family business researchers. Journal of Family Business Strategy, 12(3), 100392.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modelling methods. Journal of the academy of marketing science, 45, 616-632.
Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., ... & Calantone, R. J. (2014). Common beliefs and reality about PLS: Comments on Rönkkö and Evermann (2013). Organizational research methods, 17(2), 182-209.
Huang, R. T., & Yu, C. L. (2019). Exploring the impact of self-management of learning and personal learning initiative on Mobile language learning: A moderated mediation model. Australasian Journal of Educational Technology, 35(3).
Intan, S., Yusuf, S. B., & Sari, D. F. (2022). A review on the use of audio-visual as media in improving listening skills among junior high school students. English Education Journal, 13(2), 303-316.
Joo, Y. J., Park, S, & Shin, E. K. (2017). Students' Expectations, satisfaction, and continuance intention to use Digital textbooks. Computers in Human Behavior, 69, 83-90.
Junglas, I., Goel, L., Abraham, C., & Ives, B. (2013). The social component of information systems — How sociability contributes to technology acceptance. Journal of the Association for Information Systems, 14(10), 585-616.
Koohang, A., Nord, J. H., Ooi, K. B., Tan, G. W. H., Al-Emran, M., Aw, E. C. X., ... & Wong, L. W. (2023). Shaping the metaverse into reality: a holistic multidisciplinary understanding of opportunities, challenges, and avenues for future investigation. Journal of Computer Information Systems, 63(3), 735-765.
Kreijns, K., Kirschner, P. A., & Jochems, W. (2007). Measuring perceived sociability of computer-supported collaborative learning environments. Computers & Education, 49(2), 176-192.
Kreijns, K., & Kirschner, P. A. (2004). Designing sociable CSCL environments. In J.-W. Strijbos, P.
Kirschner, A., & R. L. Martens (Eds.), What we know about CSCL: And implementing it in higher education (pp. 221-243). Springer.
Kumar, A., Shankar, R., & Kumar, P. (2019). E-commerce: A global perspective. In E-Commerce Strategy (pp. 1-28). Springer.
Lee, B. C., Yoon, J. O., & Lee, I. (2009). Learners’ acceptance of e-learning in South Korea: Theories and results. Computers & Education, 53(4), 1320-1329.
Li, Y., Nishimura, N., Yagami, H., & Park, H. S. (2021). An empirical study on online learners’ continuance intentions in China. Sustainability, 13(2), 889.
Lim, Y. V., Ng, S. L., Oh, W. L., Tan, W. Y., Too, Y. Z., Loh, X. M., & Tan, G. W. H. (2022, September). A Stimulus-Organism-Response Paradigm to Word-of-Mouth and Continuance Intention of Mobile Application. In International Conference on Emerging Technologies and Intelligent Systems (pp. 192-204). Cham: Springer International Publishing.
Lin, Z., & Filieri, R. (2015). Airline passengers’ continuance intention towards online check-in services: The role of personal innovativeness and subjective knowledge. Transportation Research Part E: Logistics and Transportation Review, 81, 158-168.
Magableh, M., Obeidat, A & Obeida, Z. (2021). Exploring the determinants of Internet continuance intention and the negative impact of Internet addiction on students’ academic performance. International Journal of Data and Network Science, 5(3), 183-196.
Mason, R. O. (1978). Measuring information output: A communication systems approach. Information & Management, 1(4), 219-234.
Nguyen, L. T., Dwivedi, Y. K., Tan, G. W. H., Aw, E. C. X., Lo, P. S., & Ooi, K. B. (2023). Unlocking pathways to mobile payment satisfaction and commitment. Journal of Computer Information Systems, 63(4), 998-1015.
Oksanen, K., & Hämäläinen, R. (2013). Collaborative serious game as a sociable computer-supported collaborative learning environment. In H. Yang & S. Wang (Eds.), Cases on formal, non-formal, and informal online learning: Opportunities and practices (pp. 1-23). IGI Global.
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of marketing research, 17(4), 460-469.
Pajares, F., & Valiante, G. (2002). Students’ self-efficacy in their self-regulated learning strategies: A developmental perspective. Psychologia, 45(4), 211-221.
Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research: Problems and prospects. Journal of Management, 12(4), 531-544.
Roca, J. C., & Gagné, M. (2008). Understanding e-learning continuance intention in the workplace: A self-determination theory perspective. Computers in human behavior, 24(4), 1585-1604.
Salam, A. R., Mohd Yusof, S. A., & Mohd Zain, A. N. (2019b). Service learning in higher education: a systematic literature review. Higher Education, 78(2), 321-337.
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European journal of marketing, 53(11), 2322-2347.
Simpson, O. (2011). Student retention and support. In Supporting Students for Success in Online and Distance Education (pp. 1-24). Routledge.
Tan, G. W. H., Ooi, K. B., Sim, J. J., & Phusavat, K. (2012). Determinants of mobile learning adoption: An empirical analysis. Journal of Computer Information Systems, 52(3), 82-91.
Tsai, C.-W., Chuang, H.-C., & Tsai, C.-C. (2018). A review of using eye-tracking technology in exploring learning from 2000 to 2014. Educational Research Review, 26, 1-16.
Wang, W. T., Ou, W. M., & Chen, W. Y. (2019). The impact of inertia and user satisfaction on the continuance intentions to use mobile communication applications: A mobile service quality perspective. International Journal of Information Management, 44, 178-193.
Wang, Y., Asaad, Y., & Filieri, R. (2020). What makes hosts trust Airbnb? Antecedents of hosts’ trust toward Airbnb and its impact on continuance intention. Journal of Travel Research, 59(4), 686- 703.
Yuan, Y. P., Tan, G. W. H., Ooi, K. B., & Lim, W. L. (2021). Can the COVID-19 pandemic influence experience response in mobile learning? Telematics and Informatics, 64, 101676.
Zimmerman, B. J. (2000). Self-efficacy: An essential motive to learn. Contemporary educational psychology, 25(1), 82-91.

(Piaralal et al., 2024)
Piaralal, S. K., Osman, Z., S, R. V., Mahmood, N. M., & Kasuma, H. (2024). Continuance Intention to Study Using the Online Distance Learning System in the Context of Online Distance Learners: Malaysian Context. International Journal of Academic Research in Business and Social Sciences, 14(1), 2982–2996.