Articles
Published 2026-09-05
Keywords
- behavioral shift,
- consumer behavior,
- consumer journey,
- digital business ecosystem,
- digital convenience
- Gojek,
- super app ...More
How to Cite
TRANSFORMING THE CONSUMER JOURNEY IN A DIGITAL BUSINESS ECOSYSTEM: EVIDENCE FROM GOJEK USERS. (2026). Musytari : Jurnal Manajemen, Akuntansi, Dan Ekonomi, 25(10). https://doi.cibangsa.org/DOI-2026-133
Abstract
Digital transformation changes more than the channel through which consumers buy; it can also reorganize the sequence through which needs are recognized, alternatives are evaluated, transactions are completed, and post-purchase activities are managed. This study examines whether digital convenience and ecosystem integration reshape the consumer journey and whether this changed journey contributes to repeated digital purchasing and a broader shift away from conventional purchasing practices. A quantitative explanatory design was applied to 345 Gojek users, and the proposed relationships were assessed using partial least squares structural equation modeling (PLS-SEM). The reported structural estimates show that Digital Convenience positively predicts Consumer Journey (β = 0.457, p < .001) and Digital Purchasing Behavior (β = 0.277, p < .001). Ecosystem Integration positively predicts Consumer Journey (β = 0.422, p < .001) but has no significant direct effect on Digital Purchasing Behavior (β = 0.066, p = .180). Consumer Journey positively predicts Digital Purchasing Behavior (β = 0.447, p < .001) and Behavioral Shift (β = 0.156, p = .016), whereas Digital Purchasing Behavior is the strongest predictor of Behavioral Shift (β = 0.518, p < .001). The model explains 54.1% of Consumer Journey, 48.6% of Digital Purchasing Behavior, and 44.9% of Behavioral Shift. The findings support a process view of digital transformation: platform characteristics first shape how consumers move through the journey, repeated digital purchasing consolidates that experience into routine behavior, and the resulting routine contributes to broader behavioral change.References
- Becker, L., & Jaakkola, E. (2020). Customer experience: Fundamental premises and implications for research. Journal of the Academy of Marketing Science, 48 , 630–648. https://doi.org/10.1007/s11747-019-00718-x
- Berry, L. L., Seiders, K., & Grewal, D. (2002). Understanding service convenience. Journal of Marketing, 66(3), 1–17. https://doi.org/10.1509/jmkg.66.3.1.18505
- Fang, Y.-H., Liao, C.-H., & Li, C.-Y. (2024). Super app on demand: Exploring the impact of service synergy on willingness to use a new service. Electronic Commerce Research and Applications, 67, 101430. https://doi.org/10.1016/j.elerap.2024.101430
- Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
- Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
- Hein, A., Schreieck, M., Riasanow, T., Soto Setzke, D., Wiesche, M., Böhm, M., & Krcmar, H. (2020). Digital platform ecosystems. Electronic Markets, 30 , 87–98. https://doi.org/10.1007/s12525-019-00377-4
- Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135. https://doi.org/10.1007/s11747-014-0403-8
- Homburg, C., Jozić, D., & Kuehnl, C. (2017). Customer experience management: Toward implementing an evolving marketing concept. Journal of the Academy of Marketing Science, 45, 377–401. https://doi.org/10.1007/s11747-015-0460-7
- Jacobides, M. G., Cennamo, C., & Gawer, A. (2018). Towards a theory of ecosystems. Strategic Management Journal, 39(8), 2255–2276. https://doi.org/10.1002/smj.2904
- Kuehnl, C., Jozic, D., & Homburg, C. (2019). Effective customer journey design: Consumers’ conception, measurement, and consequences. Journal of the Academy of Marketing Science, 47(3), 551–568. https://doi.org/10.1007/s11747-018-00625-7
- Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96. https://doi.org/10.1509/jm.15.0420
- Nurchayati, Riyadi, B., & Sartini. (2022). Brand image, brand trust, experiential marketing and perceived price on super-app customer purchase decisions: Go-Jek application user perception. Research Horizon, 2(4), 444–454. https://doi.org/10.54518/rh.2.4.2022.75
- Nurqamarani, A. S., Reza, F., Fitriani, N., Yudhyani, E., & Indrawati, A. (2022). Influence of system, information and digital payment qualities on customer satisfaction of Gojek super app. INOVASI: Jurnal Ekonomi, Keuangan dan Manajemen, 18 (4), 840–847. https://doi.org/10.30872/jinv.v18i4.11786
- Rizki, M., Joewono, T. B., & Susilo, Y. O. (2024). Exploring levels of adoption of multi-function transport apps: Transtheoretical model of change on the customer journey of Transport-SuperApp (TSA) users. Communications in Transportation Research, 4 , 100125. https://doi.org/10.1016/j.commtr.2024.100125
- Rizki, M., Joewono, T. B., & Susilo, Y. O. (2025). The influence of app function evolution on transport SuperApp use behaviour over time. Transportation, 52(5), 2075–2116. https://doi.org/10.1007/s11116-024-10485-6
- Tueanrat, Y., Papagiannidis, S., & Alamanos, E. (2021). Going on a journey: A review of the customer journey literature. Journal of Business Research, 125 , 336–353. https://doi.org/10.1016/j.jbusres.2020.12.028
- 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, 36(1), 157–178. https://doi.org/10.2307/41410412
- Wood, W., & Rünger, D. (2016). Psychology of habit. Annual Review of Psychology, 67, 289–314. https://doi.org/10.1146/annurev-psych-122414-033417