Faktor- Faktor yang Mempengaruhi Behavioral Intention Penggunaan Aplikasi Pemesanan Mobile Kopi pada Kalangan Gen Z di DKI Jakarta

Authors

  • Mohammed Ameen Sallam Ali Universitas Negeri Jakarta Author
  • Mohamad Rizan Universitas Negeri Jakarta Author
  • Ryna Parlyna Universitas Negeri Jakarta Author

DOI:

https://doi.org/10.63822/5bw0k394

Keywords:

Performance Expectancy, Social Influence, Attitude Toward Using, Behavioral Intention, Coffee Ordering Application.

Abstract

The rapid development of digital technology has transformed consumer behavior, including in the coffee industry, which increasingly relies on online ordering applications. This study aims to analyze the influence of Performance Expectancy and Social Influence on Behavioral Intention to use coffee ordering applications among Generation Z in DKI Jakarta, with Attitude Toward Using as a mediating variable. This research employs a quantitative approach using a survey method. Data were collected through questionnaires distributed to Generation Z respondents in DKI Jakarta who have experience using coffee ordering applications and were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS software. The results indicate that Performance Expectancy and Social Influence have a positive and significant effect on Attitude Toward Using. Furthermore, Attitude Toward Using has a positive and significant effect on Behavioral Intention, while Social Influence does not have a direct effect on Behavioral Intention. The indirect effect analysis shows that Attitude Toward Using mediates the relationship between Performance Expectancy and Behavioral Intention as well as between Social Influence and Behavioral Intention. Overall, this study concludes that users’ attitudes play a crucial role in shaping the intention to use coffee ordering applications among Generation Z.

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References

Adawiyah, H., Nova, A., & Best, S. N. (2023). Exploring customer loyalty through user experience and customer satisfaction on Kopi Kenangan mobile app. Liaison Journal of Best, 2(1), 1–9.

Antwi-Boampong, A., Boison, D., Doumbia, M., Boakye, A., Osei-Fosua, L., & Owiredu Sarbeng, K. (2022). Factors Affecting Port Users’ Behavioral Intentions to Adopt Financial Technology (Fintech) in Ports in Sub-Saharan Africa: A Case of Ports in Ghana. FinTech, 1(4), 362–375. https://doi.org/10.3390/fintech1040027

Athari, N., Rumanti, A. A., & Anggana, H. D. (2025). Acceptance of Mobile Food Delivery Application: Extending UTAUT2 with Perceptions of Food Safety and Food Delivery Hygiene. Performa: Media Ilmiah Teknik Industri, 24(1), 11. https://doi.org/10.20961/performa.24.1.74291

Ayhün, S. E., Köse, B. Ç., & Aydin, E. (2024b). Determinants of Customers’ Intention to Use Online Food Delivery Services: A Study of Generation Z. Wseas Transactions on Business and Economics, 21, 1642–1656. https://doi.org/10.37394/23207.2024.21.134

Badan Pusat Statistik. (2024). Statistik Tanaman Perkebunan Tahunan Indonesia 2024. https://www.bps.go.id/id/publication/2025/08/29/8d2a6ab3510f9828daf73191/statistik-tanaman-perkebunan-tahunan-indonesia-2024--kelapa-sawit--kopi--kakao--karet--teh--dan-komoditas-perkebunan-unggulan-.html

Cabero-Almenara, J., Palacios-Rodríguez, A., Loaiza-Aguirre, M. I., & Andrade-Abarca, P. S. (2024a). The impact of pedagogical beliefs on the adoption of generative AI in higher education: Predictive model from UTAUT2. Frontiers in Artificial Intelligence, 7, 1497705. https://doi.org/10.3389/frai.2024.1497705

Chantasoon, M., Pukdeewut, A., & Setthasuravich, P. (2025). Smart Mobility in a Secondary City: Insights from Food Delivery App Adoption Among Thai University Students. Urban Science, 9(4), 104. https://doi.org/10.3390/urbansci9040104

Emon, M. M. H., & Khan, T. (2025). The mediating role of attitude towards the technology in shaping artificial intelligence usage among professionals. Telematics and Informatics Reports, 17, 100188. https://doi.org/10.1016/j.teler.2025.100188

Hair et al. (2022). A primer on partial least squares structural equation modeling (PLS-SEM). International Journal of Research & Method in Education, 38(2), 220–221. https://doi.org/10.1080/1743727X.2015.1005806

Handayani, W. P. P. (2023). The UTAUT2 Implementation Model in Defining the Behavioral Intention of Mobile Banking Users. Jurnal Manajemen Bisnis, 14(2), 361–377. https://doi.org/10.18196/mb.v14i2.18649

Hasselwander, M., & Weiss, D. (2024a). Super App Adoption Intention Based on Utaut2 with Perceived Risk. SSRN. https://doi.org/10.2139/ssrn.4784554

Hasselwander, M., & Weiss, D. (2024b). Super App Adoption Intention Based on Utaut2 with Perceived Risk. SSRN. https://doi.org/10.2139/ssrn.4784554

Herzallah, F., Abosamaha, A. J., Abu-Siam, Y., Amer, M., Sajjad, U., & Hamid, K. (2025). Determinants of mobile wallet usage among Gen Z: Extending the UTAUT2 model with moderating effects of personal innovativeness and gender. International Journal of Information Management Data Insights, 5(1), 100336. https://doi.org/10.1016/j.jjimei.2025.100336

Kaisara, G., Atiku, S. O., & Bwalya, K. J. (2022). Structural Determinants of Mobile Learning Acceptance among Undergraduates in Higher Educational Institutions. Sustainability, 14(21), 13934. https://doi.org/10.3390/su142113934

Makhlouf, A., & Mouloudj, K. (2024). Intentions to Use Mobile Food Delivery Application: A Theory of Planned Behavior and Technology Acceptance Model Approaches. Dutch Journal of Finance and Management, 7(2), 32626. https://doi.org/10.55267/djfm/15726

Mathew, A. O., Chowdhury, S., Devpura, S., & Lingappa, A. K. (2023a). Factors Influencing Technology Acceptance of Drones for Last-Mile Food Deliveries: An Adaptation of the UTAUT2 Model. Human Behavior and Emerging Technologies, 2023, 1–15. https://doi.org/10.1155/2023/7399080

Muangmee, C., Kot, S., Meekaewkunchorn, N., Kassakorn, N., & Khalid, B. (2021). Factors determining the of using food delivery apps during covid-19 pandemics. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1297–1310. https://doi.org/10.3390/jtaer16050073

Naci Çoklar, A., & Tatli, A. (2021). Examining the Digital Nativity Levels of Digital Generations: From Generation X to Generation Z. Shanlax International Journal of Education, 9(4), 433–434. https://doi.org/10.34293/education.v9i4.4224

Rahman, A., FAUZIA, R. N., & PAMUNGKAS, S. (2021). Factors Influencing Use of Social Commerce: An Empirical Study from Indonesia. The Journal of Asian Finance, Economics and Business, 7(12), 711–720. https://doi.org/10.13106/JAFEB.2020.VOL7.NO12.711

Raj, L. V., Amilan, S., Aparna, K., & Swaminathan, K. (2024). Factors influencing the adoption of cashless transactions during COVID-19: An extension of enhanced UTAUT with pandemic precautionary measures. Journal of Financial Services Marketing, 29(2), 488–507. https://doi.org/10.1057/s41264-023-00218-8

Ramos, W. J., & Catalan, C. M. V. (2023). Antecedents and Consequence of Satisfaction Towards Online Food Delivery Applications: A Modified UTAUT Model Perspective.

Saraswati, K. G., & Sisdyani, A. (2023). Determinants of Use Behavior in Utilizing Fintech Investment Management for Gen-Z. Jurnal Ilmiah Akuntansi.

Sugiyono, D. (2023). METODE PENELITIAN KUANTITATIF, KUALITATIF, DAN R&D.

Tian, W., Ge, J., Zhao, Y., & Zheng, X. (2024). AI Chatbots in Chinese higher education: Adoption, perception, and influence among graduate students—an integrated analysis utilizing UTAUT and ECM models. Frontiers in Psychology, 15, 1268549. https://doi.org/10.3389/fpsyg.2024.1268549

Venkatesh, Thong, & Xu. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157. https://doi.org/10.2307/41410412

Vidal-Silva, C., Sánchez-Ortiz, A., Serrano-Malebrán, J., Arriagada, V., Flores, M., Godoy, M., & Vargas, C. (2024a). , and price value as determinants of telemedicine services acceptance in Chile. Heliyon, 10(5), e27067. https://doi.org/10.1016/j.heliyon.2024.e27067

Wiastuti, R. D., Milnardi Omar, R., Ignacia, S. N., Sarim, S., & Nurbaeti, N. (2024). The Continuance Intention of Coffee Shop Mobile Food Ordering Applications. Academica Turistica, 17(3), 231–245. https://doi.org/10.26493/2335-4194.17.231-245

Yao, P., Osman, S., Sabri, M. F., Zainudin, N., & Li, Y. (2023a). Do consumers continue to use O2O food delivery services in the post-pandemic era? Roles of sedentary lifestyle. Heliyon, 9(9), e19131. https://doi.org/10.1016/j.heliyon.2023.e19131

Yuliani, P. N., Suprapti, N. W. S., Widagda K., I. G. J. A., & Piartrini, P. S. (2024). The Literature Review on UTAUT 2: Understanding Behavioral Intention and Use Behavior of Technology in the Digital Era. International Journal of Social Science and Business, 8(2), 208–222. https://doi.org/10.23887/ijssb.v8i2.77311

Zhu, Y., Zhao, Z., Guo, J., Wang, Y., Zhang, C., Zheng, J., Zou, Z., & Liu, W. (2023). Understanding Use Intention of mHealth Applications Based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2) Model in China. International Journal of Environmental Research and Public Health, 20(4), 3139. https://doi.org/10.3390/ijerph20043139

Otysna, F., Gwumah, I., Effah, I. A., & Kamewor, T. F. (2022). An Extended UTAUT-2 in Behavioural Intention toward Online Food Delivery Systems: The Moderating Role of Technology Efficacy. Journal of Tourism and Hospitality Management, 10(1), 32-44. https://doi.org/10.15640/jthm.v10n1a4

Dinas Kependudukan dan Pencatatan Sipil Provinsi DKI Jakarta. (2025). Profil Perkembangan Kependudukan DKI Jakarta. Diakses dari https://kependudukancapil.jakarta.go.id/profile_perkembangan_adminduk/ (Diakses 09-11-205)

Badan Pusat Statistik. (2024). Statistik Kopi Indonesia 2024. Badan Pusat Statistik Republik Indonesia. https://www.bps.go.id (Diakses 21-11-205)

Published

2026-02-14

How to Cite

Ali, M. A. S., Rizan, M., & Parlyna, R. (2026). Faktor- Faktor yang Mempengaruhi Behavioral Intention Penggunaan Aplikasi Pemesanan Mobile Kopi pada Kalangan Gen Z di DKI Jakarta. Ekopedia: Jurnal Ilmiah Ekonomi, 2(1), 2818-2832. https://doi.org/10.63822/5bw0k394