The Effect Of Perceived Usefulness, Perceived Security Risk, Perceived Privacy Risk, And Perceived Ease Of Use On Trust And Usage Intention Of The Grabfood Dine-Out Deals Feature In Indonesia
Abstract
The accelerated integration of digital technology into everyday consumer activities has transformed how individuals engage with food service platforms in Indonesia. One of the innovations introduced by Grab is the GrabFood Dine-Out Deals (DOD) feature, which enables users to purchase promotional dining vouchers directly through the application and redeem them at partner restaurants. Despite its functional benefits, user adoption of this feature remains limited, prompting questions regarding the determinants of users’ trust and behavioral intention. This study examines the influence of Perceived Usefulness, Perceived Security Risk, Perceived Privacy Risk, and Perceived Ease of Use on Trust and Usage Intention of the DOD feature. A quantitative approach was employed with 300 respondents meeting predetermined criteria. Structural Equation Modeling via SmartPLS was used for hypothesis testing. Empirical results show that Perceived Ease of Use, Perceived Security Risk, and Perceived Privacy Risk exert significant effects on Trust, whereas Perceived Usefulness does not. Furthermore, Trust and Perceived Ease of Use significantly influence Usage Intention. The findings underscore that users emphasize safety, privacy assurance, and ease when evaluating dine-in promotional technologies.
References
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.
Gupta, A., Jain, R., & Singh, M. (2024). Privacy risk and trust in e-government services: An empirical analysis. Government Information Quarterly, 41(1), 1–12.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson.
Kirana, D., Sari, N., & Wijaya, T. (2024). The effect of perceived security risk on customer trust in Shopee users. Journal of Digital Commerce, 12(2), 85–97.
Kim, Y., Park, Y., & Choi, J. (2021). User acceptance of mobile payment: The impact of perceived security and usefulness. Journal of Retailing and Consumer Services, 59, 102423.
Olivia, R., & Marchyta, D. (2022). Perceived usefulness and continuous usage intention of digital financial services. Journal of Fintech Adoption, 5(1), 44–55.
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 69–103.
Putka, D. J., & Sackett, P. R. (2010). Test-retest reliability and measurement error in psychological research. Psychological Methods, 15(3), 267–281.
Roscoe, J. T. (1975). Fundamental research statistics for the behavioral sciences (2nd ed.). Holt, Rinehart and Winston.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Wang, S., & Yi, Y. (2022). Understanding mobile app adoption: The moderating role of perceived risk. Journal of Interactive Marketing, 57, 101–115.
Wilson, J., Zhang, L., & Chen, W. (2023). Perceived ease of use and trust in mobile applications: Evidence from Southeast Asia. Journal of Mobile Computing, 18(4), 211–225.
Wilson, M., Li, X., & Huang, S. (2024). The role of perceived usefulness in building consumer trust in digital services. Journal of Digital Behavior, 9(2), 144–159.





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