Facilitating Conditions and E-Learning Persistence in Bangladeshi Higher Education: Navigating the Post-Pandemic Landscape
Nafisa Tasnim1, Ripan Chatterjee2, Abida Sultana Sanda3, & Farzana Rashid4*
1Department of Business Administration, Port City International University, Bangladesh
2Department of Business Administration, Port City International University, Bangladesh
3Department of Business Administration, Port City International University, Bangladesh
4Department of Business Administration, Port City International University, Bangladesh
DOI – http://doi.org/10.37502/IJSMR.2025.8407
Abstract
This study examines the role of facilitating conditions (FC) in shaping learners’ continuance intention (CI) to adopt e-learning platforms in post-pandemic Bangladesh, with a focus on infrastructure, resources, and stakeholder dynamics. Utilizing behavioural data from 321 university students aged 18–34 across 22 Bangladeshi institutions, the research employed a structured, self-administered questionnaire adapted from established frameworks. Data were collected via an online survey distributed through social media over one month. Results revealed that facilitating conditions (FC), effort expectancy (EE), and social influence (SI) significantly and positively influenced learners’ CI, while performance expectancy (PE) showed no notable impact. Additionally, continuance intention strongly predicted actual use behaviour. Critical aspects of FC—such as technological infrastructure, digital content accessibility, network reliability, technical training, and stakeholder collaboration—emerged as pivotal drivers of sustained e-learning adoption. The findings underscore the necessity of addressing systemic and institutional barriers to enhance e-learning sustainability in resource- constrained contexts. By contextualizing the Unified Theory of Acceptance and Use of Technology (UTAUT) within a developing nation’s post-pandemic landscape, this study contributes to broader discourse on technology adoption, offering actionable insights for policymakers and educators to optimize e-learning ecosystems through strengthened facilitating conditions.
Keywords: Facilitating Conditions, Continuance Intention, E-Learning, Digital Infrastructure, UTAUT Framework
References
- Mirkovski, Kristijan, Cathal Doyle, and James Gaskin. “Practitioners’ Attitudes and Intentions to Use Information Systems Research: A Mixed Method Study of the Research Format.” Australasian Journal of Information Systems 29 (2025).
- Zhang, Ren-Cheng, Hsin-Kai Wu, and Sung-Pei Chien. “Identifying secondary science teachers’ adoption styles of technology-based assessments and examining the patterns of teachers’ beliefs, attitudes, and intention: A latent class analysis approach.” Education and Information Technologies 29.16 (2024): 21719-21749.
- Blut, M., Chong, A. Y. L., Tsiga, Z., & Venkatesh, V. (2022, January). Meta-analysis of the unified theory of acceptance and use of technology (UTAUT): challenging its validity and charting a research agenda in the red ocean. Association for Information Systems.
- Ayanwale, M. A., & Ndlovu, M. (2024). Investigating factors of students’ behavioral intentions to adopt chatbot technologies in higher education: Perspective from expanded diffusion theory of innovation. Computers in Human Behavior Reports, 14, 100396.
- Martins, J., Gonçalves, R., & Branco, F. (2024). A bibliometric analysis and visualization of e-learning adoption using VOSviewer. Universal Access in the Information Society, 23(3), 1177-1191.
- Zhao, Y. (2024). Factors Impacting on Satisfaction and Behavioral Intention of Social Science Majors Students Toward E-learning: A Case Study of a public university in Sichuan, China. AU-GSB e-JOURNAL, 17(1), 35-44.
- Kotcher, J., Badullovich, N., Ahmed, M., De Alwis, D., & Maibach, E. W. (2024). Role model stories can increase health professionals’ interest and perceived responsibility to engage in climate and sustainability actions. The Journal of Climate Change and Health, 18, 100291.
- Dinh, T. D. (2024). The influence of implicit self-theories on ChatGPT usage. The International Journal of Information and Learning Technology, 41(5), 524-538.
- Cepeda, G., Roldán, J. L., Sabol, M., Hair, J., & Chong, A. Y. L. (2024). Emerging opportunities for information systems researchers to expand their PLS-SEM analytical toolbox. Industrial Management & Data Systems, 124(6), 2230-2250.
- Al Halbusi, H., Al-Sulaiti, K., Abdelfattah, F., Ahmad, A. B., & Hassan, S. (2024). Understanding consumers’ adoption of e-pharmacy in Qatar: applying the unified theory of acceptance and use of technology. Journal of Science and Technology Policy Management.
- Mirkovski, K., Doyle, C., & Gaskin, J. (2025). Practitioners’ Attitudes and Intentions to Use Information Systems Research: A Mixed Method Study of the Research Format. Australasian Journal of Information Systems, 29.
- Kasih, J., Wasis, G. W., & Bunyamin, H. (2024). Exploring Technology Integration in Education: Lecturers Perspective on Outcomes-Based Education Platforms. JOIV: International Journal on Informatics Visualization, 8(2), 663-668.
- Jaiswal, D., Kaushal, V., Mohan, A., & Thaichon, P. (2022). Mobile wallets adoption: Pre-and post-adoption dynamics of mobile wallets usage. Marketing Intelligence & Planning, 40(5), 573-588.
- Hwang, H., Sarstedt, M., Cho, G., Choo, H., & Ringle, C. M. (2023). A primer on integrated generalized structured component analysis. European business review, 35(3), 261- 284.
- Akter, F., Rashid, F., & Tasnim, N. (2024). Reading the Room: Understanding and Enhancing Classroom Interaction with Nonverbal Communication.