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Abstract
This study analyzes the effects of digital payment on marketing strategy and consumer purchase decisions in Bengkulu City using primary data from 100 respondents. The instrument contains 12 Likert-scale indicators forming three constructs: digital payment characteristics (X1), marketing strategy effectiveness (X2), and consumer purchase decision (Y). All indicators have corrected item-total correlations above 0.30, and all constructs are reliable (Cronbach’s alpha: X1=0.766; X2=0.828; Y=0.749). Regression results indicate that digital payment does not significantly predict marketing strategy (β=0.162; p=0.125), but positively and significantly predicts purchase decisions (β=0.439; p<0.001). Marketing strategy also positively predicts purchase decisions (β=0.264; p=0.006). In the simultaneous model, X1 and X2 explain 23.2% of the variance in purchase decisions. A 5,000-replication bootstrap estimates an indirect effect of approximately 0.033 with a 95% CI [-0.009, 0.101], providing no evidence of mediation. The findings suggest that digital-payment experience is directly associated with purchase decisions, while marketing strategy remains independently relevant
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References
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- Safitri, A. R., & Ningrum, R. A. C. (2024). Does the digital payment system “QRIS” affect the purchasing behaviour of food and beverage products? Ilomata International Journal of Management, 5(4). https://doi.org/10.61194/ijjm.v5i4.1324
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References
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Adriyanto, A. T., Utami, N. T., & Simamora, E. R. (2025). Optimizing the use of QRIS in the food stalls: Analysis of convenience and risk on purchasing decisions. The Asian Journal of Technology Management, 18(3), 182–212. https://doi.org/10.12695/ajtm.2025.18.3.2
Bank Indonesia. (2025). Monetary Policy Report: Third Quarter 2025. https://www.bi.go.id/en/publikasi/laporan/Pages/Laporan-Kebijakan-Moneter-Triwulan-III-2025.aspx
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Fishbein, M., & Ajzen, I. (2010). Predicting and changing behavior: The reasoned action approach. Psychology Press.
Kotler, P., & Keller, K. L. (2016). Marketing management (15th ed.). Pearson.
Paramita, E. D., & Cahyadi, E. R. (2024). The determinants of behavioral intention and use behavior of QRIS as digital payment method using extended UTAUT model. Indonesian Journal of Business and Entrepreneurship, 10(1), 132. https://doi.org/10.17358/ijbe.10.1.132
Safitri, A. R., & Ningrum, R. A. C. (2024). Does the digital payment system “QRIS” affect the purchasing behaviour of food and beverage products? Ilomata International Journal of Management, 5(4). https://doi.org/10.61194/ijjm.v5i4.1324
Saripudin, Yuniarti, R., & Ernawati, D. (2023). Exploring the factors influencing the adoption of QRIS as a digital payment in Indonesia. The Journal of Management Theory and Practice, 4(1). https://doi.org/10.37231/jmtp.2023.4.1.322
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. https://doi.org/10.2307/30036540
Wirabuana, C., Marbanie, R., Sensuse, D. I., Hidayat, D. S., & Purwaningsih, E. H. (2024). Perceptions of the use of Quick Response Code Indonesian Standard (QRIS) for payment and its impact on consumer behavior. Jurnal Sistem Informasi, 20(2). https://doi.org/10.21609/jsi.v20i2.1416
Zalukhu, S., & Lattu, A. (2025). The influence of using the QRIS digital payment method on customer purchasing decisions. Jurnal Ilmiah Manajemen Kesatuan, 13(1), 445–454. https://doi.org/10.37641/jimkes.v13i1.3064