Post-Adoption Determinants of Continuance Intention: The Mediating Role of Satisfaction among Indonesian Canva Pro Users

Authors

  • Ima Kumala Safmi Universitas Tanjungpura
  • Nurul Komari Universitas Tanjungpura
  • Erna Listiana Universitas Tanjungpura
  • Ana Fitriana Universitas Tanjungpura
  • Ahmadi Universitas Tanjungpura

DOI:

https://doi.org/10.61987/jemr.v5i2.1940

Keywords:

Continuance Intention, Satisfaction, Price Saving Orientation

Abstract

Cloud-based graphic design platforms have significantly expanded global creative accessibility; however, Canva’s market share in Indonesia has declined by 14.14% to 9.01% despite high digital penetration. This study aims to analyze the post-adoption determinants of continuance intention among Indonesian Canva Pro users by integrating the Expectation Confirmation Model (ECM) and the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). A quantitative approach was employed through a survey of 230 active Canva Pro subscribers, and the data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The findings reveal that confirmation of expectation, perceived enjoyment, and price saving orientation positively and significantly influence satisfaction. Furthermore, satisfaction, confirmation of expectation, and price saving orientation have direct significant effects on continuance intention, while perceived enjoyment affects continuance intention indirectly through satisfaction. Mediation analysis confirms that satisfaction serves as a significant intervening variable linking cognitive, affective, and economic factors to continuance intention, with price saving orientation emerging as the most dominant determinant. These results imply that sustaining subscription-based digital services in utilitarian contexts requires not only fulfilling user expectations and delivering enjoyable experiences, but more importantly, ensuring strong perceived economic value to strengthen long-term user retention strategies.

References

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

Akel, G., & Armağan, E. (2021). Hedonic and utilitarian benefits as determinants of the application continuance intention in location-based applications: the mediating role of satisfaction. Multimedia Tools and Applications, 80(5), 7103–7124. https://doi.org/10.1007/s11042-020-10094-2

Al Amin, M., Alam, M. R., & Alam, M. Z. (2023). Antecedents of students’ e-learning continuance intention during COVID-19: An empirical study. E-Learning and Digital Media, 20(3), 224–254. https://doi.org/10.1177/20427530221103915

Alzubi, A. M. (2022). Impact of new digital media on conventional media and visual communication in Jordan. Journal of Engineering, Technology, and Applied Science, 4(3), 105–113. https://doi.org/10.36079/lamintang.jetas-0403.383

Amin, M. Al, Muzareba, A. M., Chowdhury, I. U., & Khondkar, M. (2024). Understanding e-satisfaction, continuance intention, and e-loyalty toward mobile payment application during COVID-19: an investigation using the electronic technology continuance model. Journal of Financial Services Marketing, 29(2), 318–340. https://doi.org/10.1057/s41264-022-00197-2

Arli, D., Esch, P. van, & Weaven, S. (2024). The impact of SERVQUAL on consumers’ satisfaction, loyalty, and intention to use online food delivery services. Journal of Promotion Management, 30(7), 1159–1188. https://doi.org/10.1080/10496491.2024.2372858

Ashfaq, M., Yun, J., Yu, S., & Loureiro, S. M. C. (2020). I, Chatbot: Modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents. Telematics and Informatics, 54. https://doi.org/10.1016/j.tele.2020.101473

Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370. https://doi.org/https://doi.org/10.2307/3250921

Canva Team. (2025). Canva named on CNBC’s 2025 disruptor 50 list. Canva. https://www.canva.com/newsroom/news/cnbc-disruptor-50-2025/

Datanyze. (2025). Graphics software market share. Datanyze. https://www.datanyze.com/market-share/graphics--462

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14). https://doi.org/10.1111/j.1559-1816.1992.tb00945.x

Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2013). Online drivers of consumer purchase of website airline tickets. Journal of Air Transport Management, 32, 58–64. https://doi.org/10.1016/j.jairtraman.2013.06.018

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis Eight Edition. Cengage Learning.

Hair, J. J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer International Publishing.

Huang, F., & Liu, S. (2024). If i enjoy, i continue: The mediating effects of perceived usefulness and perceived enjoyment in continuance of asynchronous online english learning. Education Sciences, 14(8). https://doi.org/10.3390/educsci14080880

Kumar, D., & Tongbram, J. (2025). Impact of graphic designing in modern industry. International Journal For Multidisciplinary Research, 7(2), 1–7. https://doi.org/10.36948/ijfmr.2025.v07i02.41549

Kurniawan, A. C., Rachmawati, N. L., Ayu, M. M., Ong, A. K. S., & Redi, A. A. N. P. (2024). Determinants of satisfaction and continuance intention towards online food delivery service users in Indonesia post the COVID-19 pandemic. Heliyon, 10(1). https://doi.org/10.1016/j.heliyon.2023.e23298

Latief, F., Dirwan, D., & Rizal, F. (2024). The evolution of consumer behavior in the digital era and its implications for marketing strategies. Proceeding of Research and Civil Society Desemination, 2(1), 304–316. https://doi.org/10.37476/presed.v2i1.62

Liu, J., Sun, H. L., Kuang, L., & Zheng, J. (2025). A longitudinal study of user continuance intention to use public digital cultural services. Library and Information Science Research, 47(1). https://doi.org/10.1016/j.lisr.2025.101343

Mao, Z., Zou, Q., Bu, T., Dong, Y., & Yan, R. (2023). Understanding the role of service quality of government apps in continuance intention: An expectation–confirmation perspective. SAGE Open, 13(4). https://doi.org/10.1177/21582440231201218

Mishra, A., Shukla, A., Rana, N. P., Currie, W. L., & Dwivedi, Y. K. (2023). Re-examining post-acceptance model of information systems continuance: A revised theoretical model using MASEM approach. International Journal of Information Management, 68(April 2022). https://doi.org/10.1016/j.ijinfomgt.2022.102571

Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17, 460. https://doi.org/10.1177/002224378001700405

Pereira, R., & Tam, C. (2021). Impact of enjoyment on the usage continuance intention of video-on-demand services. Information and Management, 58(7). https://doi.org/10.1016/j.im.2021.103501

Puspitasari, I., Rusydi, F., Nuzulita, N., & Hsiao, C. S. (2023). Investigating the role of utilitarian and hedonic goals in characterizing customer loyalty in E-marketplaces. Heliyon, 9(8). https://doi.org/10.1016/j.heliyon.2023.e19193

Rahma, D. N., Ramadhani, K. A., Corazon, M., Fami, A., & Bagus, I. R. G. (2024). The influence of canva application features on the graphic design confidence: A case study of college students. Journal of Applied Multimedia and Networking, 8(1), 60–67. https://doi.org/10.30871/jamn.v8i1.7684

Ramos, K. (2022). Factors influencing customers’ continuance usage intention of food delivery apps during COVID-19 quarantine in Mexico. British Food Journal, 124(3), 833–852. https://doi.org/10.1108/BFJ-01-2021-0020

Rekha, I. S., Shetty, J., & Basri, S. (2023). Students’ continuance intention to use MOOCs: empirical evidence from India. Education and Information Technologies, 28(4), 4265–4286. https://doi.org/10.1007/s10639-022-11308-w

Sae-tae, K., Ling, J., & Wang, Q. (2024). The impact of user addiction on continuance intention to use streaming platforms: incorporating expectation confirmation model and personality traits. Frontiers in Communication, 9. https://doi.org/10.3389/fcomm.2024.1410975

Santosa, A. D., Taufik, N., Prabowo, F. H. E., & Rahmawati, M. (2021). Continuance intention of baby boomer and X generation as new users of digital payment during COVID-19 pandemic using UTAUT2. Journal of Financial Services Marketing, 26(4), 259–273. https://doi.org/10.1057/s41264-021-00104-1

Sebastián, M. G. de B., Guede, J. R. S., & Antonovica, A. (2022). Application and extension of the UTAUTT model for determining behavioral intention factors in use of the artificial intelligence virtual assistants. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2022.993935

Shi, M., Deng, L., Zhang, M., & Long, Y. (2025). How telepresence and perceived enjoyment mediate the relationship between interaction quality and continuance intention: Evidence from China Zisha-ware Digital Museum. PLoS ONE, 20(1 January), 1–29. https://doi.org/10.1371/journal.pone.0317784

Similarweb. (2025). Canva.com website analysis for april 2025. Similarweb. https://www.similarweb.com/website/canva.com/#overview

Tarsidi, D. Z., Suryadi, K., Budimansyah, D., & Rahmat, R. (2023). Social media usage and civic engagement among Indonesian digital natives: An Analysis. Jurnal Civics: Media Kajian Kewarganegaraan, 20(2), 257–269. https://doi.org/10.21831/jc.v20i2.60812

Thong, J. Y. L., Hong, S. J., & Tam, K. Y. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human Computer Studies, 64(9), 799–810. https://doi.org/10.1016/j.ijhcs.2006.05.001

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly: Management Information Systems, 36(1). https://doi.org/10.2307/41410412

Wang, T., Lin, C. L., & Su, Y. S. (2021). Continuance intention of university students and online learning during the covid-19 pandemic: A modified expectation confirmation model perspective. Sustainability (Switzerland), 13(8). https://doi.org/10.3390/su13084586

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Published

2026-02-12

How to Cite

Safmi, I. K., Komari, N., Listiana, E., Fitriana, A., & Ahmadi. (2026). Post-Adoption Determinants of Continuance Intention: The Mediating Role of Satisfaction among Indonesian Canva Pro Users. Journal of Educational Management Research, 5(2), 1793–1810. https://doi.org/10.61987/jemr.v5i2.1940

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