E-WOM and Satisfaction Level’s Effects on Massive Open Online Course Repurchase Intention by Generation-Z


  • Joshua Kuswardi Binus Business School Master Program, Bina Nusantara University, WestJakarta, DKI Jakarta
  • Sanny Lim Binus Business School Master Program, Bina Nusantara University, WestJakarta, DKI Jakarta




Massive Open Online Course, Generation Z, Convenience, Usefulness, Class Content Quality, Service Quality, Satisfaction, E-WOM, PLS-SEM


Background: The Massive Open Online Course (MOOC) is an innovation that is experiencing rapid growth in the world in the field of technology-based education, including in Indonesia.

Aim: This study aims to analyze the factors that influence repurchasing interest in one of the Massive Open Online Courses (Skill Academy by Ruangguru) in Indonesia.

Method: The factors analyzed include convenience, usefulness, content class quality, service quality, and satisfaction levels as moderation, as well as Electronic - Word of Mouth (E-WOM). This study used quantitative methods and purposive sampling with 200 samples collected. Data processing using PLS-SEM.

Findings: The quality of class content in the MOOC learning system does not increase user satisfaction, but a high level of user’s satisfaction and the positive influence of E-WOM can increase the repurchase interest of Generation Z users in Jakarta.


Akdim, K., Casaló, L. V., & Flavián, C. (2022). The role of utilitarian and hedonic aspects in the continuance intention to use social mobile apps. Journal of Retailing and Consumer Services, 66. https://doi.org/10.1016/j.jretconser.2021.102888

Chen, Y., Ding, D., Meng, L., Li, X., & Zhang, S. (2023). Understanding consumers’ purchase intention towards online paid courses. Information Development, 39(1). https://doi.org/10.1177/02666669211027206

Class Central. (2021). By the numbers: MOOCs in 2021. Class Central.

Cormier, D., & Siemens, G. (2010). Through the open door: Open courses as research, learning, and engagement. Educause Review, 45(4).

Daneji, A. A., Ayub, A. F. M., & Khambari, M. N. M. (2019). The effects of perceived usefulness, confirmation and satisfaction on continuance intention in using massive open online course (MOOC). Knowledge Management and E-Learning, 11(2). https://doi.org/10.34105/j.kmel.2019.11.010

Fromm, J. (2022). As Gen Z’s buying power grows, businesses must adapt their marketing. Forbes.

Katadata. (2020). Arah startup pendidikan saat sekolah dibuka kembali. Katadata.

Kompas. (2022). Menilik gaya Gen Z berbelanja. Kompas.

Li, Y., Duan, Y., Fu, Z., & Alford, P. (2012). An empirical study on behavioural intention to reuse e-learning systems in rural China. British Journal of Educational Technology, 43(6). https://doi.org/10.1111/j.1467-8535.2011.01261.x

Park, C., & Lee, T. M. (2009). Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business Research, 62(1). https://doi.org/10.1016/j.jbusres.2007.11.017

Pozón-López, I., Higueras-Castillo, E., Muñoz-Leiva, F., & Liébana-Cabanillas, F. J. (2021). Perceived user satisfaction and intention to use massive open online courses (MOOCs). Journal of Computing in Higher Education, 33(1). https://doi.org/10.1007/s12528-020-09257-9

Sanford, D., Ross, D., Rosenbloom, A., & Singer, D. (2017). Course convenience, perceived learning, and course satisfaction across course formats. E-Journal of Business Education & Scholarship of Teaching, 11(1).

Schwieger, D., & Ladwig, C. (2018). Reaching and retaining the next generation: Adapting to the expectations of Gen Z in the classroom. Information Systems Education Journal (ISEDJ), 16(3).

Tao, D., Fu, P., Wang, Y., Zhang, T., & Qu, X. (2022). Key characteristics in designing massive open online courses (MOOCs) for user acceptance: an application of the extended technology acceptance model. Interactive Learning Environments, 30(5). https://doi.org/10.1080/10494820.2019.1695214

Wise, J. (2022). Gen Z statistics 2022: How many people are in Gen Z. Earth Web.