Extension of the Utaut2-ECM Model: The Role of Brand Trust and Service Quality on the Intention to Continue Using the Alfagift Application of Indonesian Middle-Class Consumers

Authors

  • Lucia Ruliastuti Faculty of Economics and Business, Master of Management Study Program, Marketing Management Specialization, Jakarta, Indonesia
  • Imam Salehudin Faculty of Economics and Business, Master of Management Study Program, Marketing Management Specialization, Jakarta, Indonesia

DOI:

https://doi.org/10.38035/dijemss.v8i1.6818

Keywords:

UTAUT2, Brand Trust, Continuance Intention, Omnichannel, Middle Class, Alfagift

Abstract

This study analyzes factors influencing continuance intention to use the Alfagift application among Indonesian middle-class consumers by integrating the UTAUT2-ECM model with Brand Trust as a mediating variable. The exogenous variables examined include Online Shopping Service Quality (OSSQ), Performance Expectancy (PE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price Value (PV), Habit (HA), and Perceived Risk (PR). Using a quantitative approach, data were collected from 323 active Alfagift users who used the application at least once per month and were categorized as middle-class consumers based on BPS (Statistics Indonesia) criteria. The data were analyzed using PLS-SEM.The results show that Habit is the strongest predictor of continuance intention (β = 0.504; p < 0.001), followed by Brand Trust (β = 0.244; p < 0.01) and Performance Expectancy (β = 0.120; p < 0.05). In contrast, Social Influence (p = 0.156) and Hedonic Motivation (p = 0.058) do not significantly affect continuance intention. OSSQ showed the strongest association with Brand Trust (β = 0.549; p < 0.001). The results also indicate an indirect relationship between OSSQ and Continuance Intention through Brand Trust, supporting the mediating role of Brand Trust in the proposed model.

References

Bauer, R. A. (1960). Consumer behavior as risk taking. Proceedings of the 43rd National Conference of the American Marketing Assocation, June 15, 16, 17, Chicago, Illinois, 1960.

Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351–370.

Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences ((2nd. Edit). Hillsdale, NJ: Lawrence Earlbaum Associates.

Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451–474.

Gong, J., Said, F., Ting, H., Firdaus, A., Aksar, I. A., & Xu, J. (2023). Do privacy stress and brand trust still matter? Implications on continuous online purchasing intention in China. Current Psychology, 42(18), 15515–15527.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis 8th Edition (8th Editio). Cengage Learning.

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(1), 115–135.

Jacoby, J., & Kaplan, L. B. (1972). The components of perceived risk. ACR Special Volumes.

Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL: A multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213–233.

Parasuraman, A., Zeithaml, V., & Berry, L. . (1988). A Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality. Journal of Retailing, 64(1), 12–40.

Rehman, A. U., Bashir, S., Mahmood, A., Karim, H., & Nawaz, Z. (2022). Does e-shopping service quality enhance customers’e-shopping adoption? An extended perspective of unified theory of acceptance and use of technology. Plos One, 17(2), e0263652.

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. In Handbook of market research (pp. 587–632). Springer.

Tamilmani, K., Rana, N. P., Wamba, S. F., & Dwivedi, R. (2021). The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation. International Journal of Information Management, 57, 102269.

Venkatesh, V.Thong , J. Y. L.; Xu, X. (2016). Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead. Journal of the Association for Information Systems, 17(5), 328–376.

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), 157–178. https://doi.org/10.2307/41410412

Yao, P., Sabri, M. F., Osman, S., Zainudin, N., & Li, Y. (2023). Consumers’ continued intention to use online-to-offline (O2O) services in omnichannel retail: differences between to-shop and to-home models. Sustainability, 15(2), 945.

Downloads

Published

2026-10-17

How to Cite

Ruliastuti, L., & Salehudin, I. (2026). Extension of the Utaut2-ECM Model: The Role of Brand Trust and Service Quality on the Intention to Continue Using the Alfagift Application of Indonesian Middle-Class Consumers. Dinasti International Journal of Education Management and Social Science, 8(1), 374–386. https://doi.org/10.38035/dijemss.v8i1.6818