Key Factors Affecting College Students' Continuance Intention Toward E-Learning in a Public College in Guangdong, China
Keywords:
Continuance Intention, E-Learning, Higher Education, Intervention Design Implementation (IDI)Abstract
Purpose: This study examines the impact of five independent variables—satisfaction, perceived usefulness, platform engagement, performance expectation, and openness—on the intention to use e-learning platforms among students at a public university in Guangdong, China. Additionally, the study aims to identify significant differences between these variables. Research Design, Data, and Methodology: The research utilized the Index of Item-Objective Congruence (IOC) for validity testing and Cronbach's Alpha in a pilot test (n=30) for reliability assessment. Data from 178 students were analyzed using multiple linear regression to examine the significant relationships between variables. Subsequently, 30 students participated in a 15-week Intervention Design Implementation (IDI). Quantitative results from before and after the intervention were compared using a paired-sample t-test. Results: Multiple linear regression results indicated that satisfaction, perceived usefulness, platform engagement, performance expectation, and openness positively influenced students' continuance intention to use the e-learning platform. The paired-sample t-test results demonstrated significant differences in the continuance intention towards e-learning before and after the IDI intervention. Conclusions: This study aims to foster students' creativity and enhance their continuance intention towards using e-learning platforms through cultivating self-leadership skills in the Guangdong region. The findings provide significant empirical support for the design of user experiences and educational practices in e-learning systems.
References
Ackerman, P. L., & Heggestad, E. D. (1997). Intelligence, personality, and interests: Evidence for overlapping traits. Psychological Bulletin, 121(2), 219-245. https://doi.org/10.1037/0033-2909.121.2.219
Alnaqbi, A. M. A., & Yassin, A. M. (2021). Evaluation of success factors in adopting artificial intelligence in e-learning environment. International Journal of Sustainable Construction Engineering Technology, 12(3), 1-10. https://doi.org/10.30880/ijscet.2021.12.03.035
Anderson, E. W., & Sullivan, M. W. (1993). The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12(2), 125-143.https://doi.org/10.1287/mksc.12.2.125
Baldwin, R. (2003). Openness and growth: What is the empirical relationship? Journal of Information Technology, 3(3), 34-45.
Benlian, A., Hilkert, D., & Heß, T. (2015). How open is this platform? The meaning and measurement of platform openness from the complementers’ perspective. Journal of Information Technology, 30(3), 209-228. https://doi.org/10.1057/jit.2015.6
Bhardwaj, P., Gupta, P., Panwar, H., Siddiqui, M. K., Morales-Menendez, R., & Bhaik, A. (2021). Application of deep learning on student engagement in e-learning environments. Computers & Electrical Engineering, 93, 107277. https://doi.org/10.1016/j.compeleceng.2021.107277
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. Management Information Systems Quarterly, 25(3), 351.
https://doi.org/10.2307/3250921
Blasco‐Arcas, L., Buil, I., Ortega, B. H., & Sesé, F. J. (2013). Using clickers in class: The role of interactivity, active collaborative learning and engagement in learning performance. Computers & Education, 62, 102-110. https://doi.org/10.1016/j.compedu.2012.10.019
Boulding, W., Kalra, A., Staelin, R., & Zeithaml, V. A. (1993). A dynamic process model of service quality: From expectations to behavioral intentions. Journal of Marketing Research, 30(1), 7-27. https://doi.org/10.1177/002224379303000102
Brandsma, T., Stoffers, J., & Schrijver, I. (2020). Advanced technology use by care professionals. International Journal of Environmental Research and Public Health, 17(3), 742. https://doi.org/10.3390/ijerph17030742
Brodie, R. J., Ilić, A., Jurić, B., & Hollebeek, L. D. (2013). Consumer engagement in a virtual brand community: An exploratory analysis. Journal of Business Research, 66(1), 105-114. https://doi.org/10.1016/j.jbusres.2011.07.029
Calisir, F., Gümüşsoy, Ç. A., Bayraktaroglu, A. E., & Karaali, D. (2014). Predicting the intention to use a web-based learning system: Perceived content quality, anxiety, perceived system quality, image, and the technology acceptance model. Human Factors and Ergonomics in Manufacturing & Service Industries, 24(5), 515-531. https://doi.org/10.1002/hfm.20548
Castillo, A., Benitez, J., Lloréns, J., & Luo, X. (2021). Social media-driven customer engagement and movie performance: Theory and empirical evidence. Decision Support Systems, 145, 113516. https://doi.org/10.1016/j.dss.2021.113516
Chau, P. Y. (2001). Influence of computer attitude and self-efficacy on IT usage behavior. Journal of Organizational and End User Computing, 13(1), 26-33. https://doi.org/10.4018/joeuc.2001010103
Chen, C., Lee, C., & Hsiao, K. (2018). Comparing the determinants of non-MOOC and MOOC continuance intention in Taiwan. Library Hi Tech, 36(4), 705-719.
https://doi.org/10.1108/lht-11-2016-0129
Cheng, Y. (2022). Which quality determinants cause MOOCs continuance intention? A hybrid extending the expectation-confirmation model with learning engagement and information systems success. Library Hi Tech, 41(6), 1748-1780. https://doi.org/10.1108/lht-11-2021-0391
Churchill, G. A., & Surprenant, C. (1982). An investigation into the determinants of customer satisfaction. Journal of Marketing Research, 19(4), 491. https://doi.org/10.2307/3151722
Compeau, D., & Higgins, C. (1995). Computer self-efficacy: Development of a measure and initial test. Management Information Systems Quarterly, 19(2), 189.
https://doi.org/10.2307/249688
Dangaiso, P., Makudza, F., Jaravaza, D. C., Kusvabadika, J., Makiwa, N., & Gwatinyanya, C. (2023). Evaluating the impact of quality antecedents on university students’ e-learning continuance intentions: A post COVID-19 perspective. Cogent Education, 10(1).
https://doi.org/10.1080/2331186x.2023.2222654
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13(3), 319.
https://doi.org/10.2307/249008
Dunleavy, M., Dede, C., & Mitchell, R. (2008). Affordances and limitations of immersive participatory augmented reality simulations for teaching and learning. Journal of Science Education and Technology, 18(1), 7-22. https://doi.org/10.1007/s10956-008-9119-1
Eroglu, S., Machleit, K. A., & Davis, L. (2003). Empirical testing of a model of online store atmospherics and shopper responses. Psychology & Marketing, 20(2), 139-150.
https://doi.org/10.1002/mar.10064
Fan, L., Liu, X., Wang, B., & Wang, L. (2016). Interactivity, engagement, and technology dependence: Understanding users’ technology utilisation behaviour. Behaviour & Information Technology, 36(2), 113-124. https://doi.org/10.1080/0144929x.2016.1199051
Fang, B., Ye, Q., Küçükusta, D., & Law, R. (2016). Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics. Tourism Management, 52, 498-506. https://doi.org/10.1016/j.tourman.2015.07.018
Gummerus, J., Liljander, V., Weman, E. A., & Pihlström, M. (2012). Customer engagement in a Facebook brand community. Management Research Review, 35(9), 857-877.
https://doi.org/10.1108/01409171211256578
Hair, J. F. (2008). Essentials of marketing research (1st ed.). McGraw-Hill Education.
Handayani, P. W., Hidayanto, A. N., Pinem, A. A., Sandhyaduhita, P. I., & Budi, I. (2017). Hospital information system user acceptance factors: User group perspectives. Informatics for Health & Social Care, 43(1), 84-107. https://doi.org/10.1080/17538157.2016.1269109
Harrigan, P., Daly, T. M., Coussement, K., Lee, J., Soutar, G. N., & Evers, U. (2021). Identifying influencers on social media. International Journal of Information Management, 56, 102246. https://doi.org/10.1016/j.ijinfomgt.2020.102246
Holt, D., & Challis, D. (2007). From policy to practice: One university’s experience of implementing strategic change through wholly online teaching and learning. Australasian Journal of Educational Technology, 23(1). https://doi.org/10.14742/ajet.1276
Hsieh, S. (2018). Satisfaction or attitude is matter? The fully mediating effect of attitude. DEStech Transactions on Computer Science and Engineering, 3(5), 40-79.
https://doi.org/10.12783/dtcse/mmsta2017/19698
Huang, H., & Nan, G. (2023). Factors influencing continuance intention of time-sharing cars. Sustainability, 15(13), 10625. https://doi.org/10.3390/su151310625
Igbaria, M. (1995). The effects of self-efficacy on computer usage. Omega, 23(6), 587-605.
https://doi.org/10.1016/0305-0483(95)00035-6
Ingledew, D. K., & Markland, D. (2008). The role of motives in exercise participation. Psychology & Health, 23(7), 807-828. https://doi.org/10.1080/08870440701405704
Jiang, Z., Chan, J., Tan, B. C. Y., & Chua, W. S. (2010). Effects of interactivity on website involvement and purchase intention. Journal of the Association for Information Systems, 11(1). https://doi.org/10.17705/1jais.00218
Kao, Y. S., Nawata, K., & Huang, C. Y. (2019). An exploration and confirmation of the factors influencing adoption of IoT-based wearable fitness trackers. International Journal of Environmental Research and Public Health, 16(18), 3227. https://doi.org/10.3390/ijerph16183227
Kataria, S., & Saini, V. (2019). The mediating impact of customer satisfaction in relation of brand equity and brand loyalty. South Asian Journal of Business Studies, 9(1), 62-87. https://doi.org/10.1108/sajbs-03-2019-0046
Khoo, S., & Simms, L. J. (2018). Links between depression and openness and its facets. Personality and Mental Health, 12(3), 203-215. https://doi.org/10.1002/pmh.1417
Klein, D. N., Kotov, R., & Bufferd, S. J. (2011). Personality and depression: Explanatory models and review of the evidence. Annual Review of Clinical Psychology, 7(1), 269-295. https://doi.org/10.1146/annurev-clinpsy-032210-104540
Komunda, M. B., & Osarenkhoe, A. (2012). Remedy or cure for service failure? Business Process Management Journal, 18(1), 82-103. https://doi.org/10.1108/14637151211215028
Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205-223.
https://doi.org/10.1287/isre.13.2.205.83
Kuzlak, A. (2017). A review of acceptant responses to stereotype threat: Performance expectations and self-handicapping strategies. Fakülte Dergisi, 57(2), 1224-1249.
https://doi.org/10.1501/dtcfder_0000001559
Levesque, T. J., & McDougall, G. H. (1996). Determinants of customer satisfaction in retail banking. International Journal of Bank Marketing, 14(7), 12-20. https://doi.org/10.1108/02652329610151340
Likert, R. (1932). A technique for the measurement of attitudes. https://psycnet.apa.org/record/1933-01885-001
Lin, T., Hsu, J. S., Cheng, H., & Chiu, C. (2015). Exploring the relationship between receiving and offering online social support: A dual social support model. Information & Management, 52(3), 371-383. https://doi.org/10.1016/j.im.2015.01.003
Lwoga, E. T., & Komba, M. M. (2015). Antecedents of continued usage intentions of web-based learning management system in Tanzania. Journal of Education and Training, 57(7), 738-756. https://doi.org/10.1108/et-02-2014-0014
McCrudden, M. T., & Marchand, G. (2020). Multilevel mixed methods research and educational psychology. Educational Psychologist, 55(4), 197-207. https://doi.org/10.1080/00461520.2020.1793156
Newman, J. W., & Werbel, R. A. (1973). Multivariate analysis of brand loyalty for major household appliances. Journal of Marketing Research, 10(4), 404-409.
https://doi.org/10.1177/002224377301000408
O’Brien, H., & Toms, E. G. (2009). The development and evaluation of a survey to measure user engagement. Journal of the Association for Information Science and Technology, 61(1), 50-69. https://doi.org/10.1002/asi.21229
Oliver, R. L. (1999). Whence consumer loyalty? Journal of Marketing, 63, 33. https://doi.org/10.2307/1252099
Ong, C., & Lai, J. (2006). Gender differences in perceptions and relationships among determinants of e-learning acceptance. Computers in Human Behavior, 22(5), 816-829.
https://doi.org/10.1016/j.chb.2004.03.006
O’Súilleabháin, P. S., Howard, S., & Hughes, B. M. (2018). Openness to experience and stress responsivity: An examination of cardiovascular and underlying hemodynamic trajectories within an acute stress exposure. PLOS ONE, 13(6), e0199221. https://doi.org/10.1371/journal.pone.0199221
Ozturk, A. B. (2016). Customer acceptance of cashless payment systems in the hospitality industry. International Journal of Contemporary Hospitality Management, 28(4), 801-817. https://doi.org/10.1108/ijchm-02-2015-0073
Palullungan, D. (2022). PEMODELAN CONTINUANCE INTENTION DALAM KASUS PENGGUNAAN DOMPET DIGITAL DI KALANGAN MAHASISWA. Jiems: Journal of Industrial Engineering & Management Systems, 15(2). https://doi.org/10.30813/jiems.v15i2.3768
Ridgeway, C. L., & Berger, J. (1986). Expectations, legitimation, and dominance behavior in task groups. American Sociological Review, 51(5), 603. https://doi.org/10.2307/2095487
Romer, P. M. (1986). Increasing returns and long-run growth. Journal of Political Economy, 94(5), 1002-1037. https://doi.org/10.1086/261420
Rudolph, C. W., & Zacher, H. (2022). Openness maximizes advocacy. Industrial and Organizational Psychology, 4(3), 10-18. https://doi.org/10.31234/osf.io/qfp3b
Schindler, R. M., & Bickart, B. (2012). Perceived helpfulness of online consumer reviews: The role of message content and style. Journal of Consumer Behaviours, 11(3), 234-243. https://doi.org/10.1002/cb.1372
Scott, D. (2013). Teaching multiple perspectives: An investigation into teacher practice amidst curriculum change. Canadian Social Studies, 46(1), 31-43.
Seetal, I., Gunness, S., & Teeroovengadum, V. (2021). Educational disruptions during the COVID-19 crisis in Small Island Developing States: Preparedness and efficacy of academics for online teaching. International Review of Education, 67(1-2), 185-217. https://doi.org/10.1007/s11159-021-09902-0
Sekaran, U. (1992). Research methods for business: A skill-building approach (1st ed.). Wiley.
Shao, Z., & Chen, K. (2020). Understanding individuals’ engagement and continuance intention of MOOCs: The effect of interactivity and the role of gender. Internet Research, 31(4), 1262-1289. https://doi.org/10.1108/intr-10-2019-0416
Siemens, G., & Matheos, K. (2012). Systemic changes in higher education. In Education, 16(1).
https://doi.org/10.37119/ojs2010.v16i1.42
Splitter, V., Dobusch, L., Von Krogh, G., Whittington, R., & Walgenbach, P. (2022). Openness as organizing principle: Introduction to the special issue. Organization Studies, 44(1), 7-27. https://doi.org/10.1177/01708406221145595
Spreng, R. A., MacKenzie, S. B., & Olshavsky, R. W. (1996). A reexamination of the determinants of consumer satisfaction. Journal of Marketing, 60(3), 15-32. https://doi.org/10.1177/002224299606000302
Tam, C., Santos, D. S. D., & Oliveira, T. (2018). Exploring the influential factors of continuance intention to use mobile apps: Extending the expectation confirmation model. Information Systems Frontiers, 22(1), 243-257. https://doi.org/10.1007/s10796-018-9864-5
Tojib, D. R., & Tsarenko, Y. (2012). Post-adoption modeling of advanced mobile service use. Journal of Business Research, 65(7), 922-928. https://doi.org/10.1016/j.jbusres.2011.05.006
Tse, D. K., & Wilton, P. C. (1988). Models of consumer satisfaction formation: An extension. Journal of Marketing Research, 25(2), 204. https://doi.org/10.2307/3172652
Vedadi, A., & Warkentin, M. (2016). Continuance intention on using mobile banking applications: A replication study of the information systems continuance model. AIS Transactions on Replication Research, 2, 1-11. https://doi.org/10.17705/1atrr.00014
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., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. Management Information Systems Quarterly, 27(3), 425. https://doi.org/10.2307/30036540
Vivek, S. D., Beatty, S. E., & Morgan, R. M. (2012). Customer engagement: Exploring customer relationships beyond purchase. Journal of Marketing Theory and Practice, 20(2), 122-146. https://doi.org/10.2753/mtp1069-6679200201
Wang, T., Lin, C., & Su, Y. (2021). Continuance intention of university students and online learning during the COVID-19 pandemic: A modified expectation confirmation model perspective. Sustainability, 13(8), 4586. https://doi.org/10.3390/su13084586
Wong, E. Y., Hui, R. T., & Kong, H. (2023). Perceived usefulness of, engagement with, and effectiveness of virtual reality environments in learning industrial operations: The moderating role of openness to experience. Virtual Reality, 27(3), 2149-2165. https://doi.org/10.1007/s10055-023-00793-0
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Wenjing Li
This work is licensed under a Creative Commons Attribution 4.0 International License.
The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data, or other material from the work of others, the submitting author has obtained any necessary permission.
Articles in this journal are published under the Creative Commons Attribution License (CC-BY What does this mean?). This is to get more legal certainty about what readers can do with published articles, and thus a wider dissemination and archiving, which in turn makes publishing with this journal more valuable for you, the authors.
