Article Sidebar

Download
PDF

Main Article Content

Abstract

The purpose of this study is to examine the factors that influence Generation Z's purchase intention in using food delivery applications, focusing on the role of attitude, perceived service quality, perceived usefulness, and trust. Data were collected through an online survey of 200 Generation Z respondents aged 18-26 who had used food delivery applications in the last three months. The results of the analysis using partial least squares structural equation modeling (PLS-SEM) with the help of WarpPLS software show that attitude has a positive and significant effect on purchase intention. In addition, perceived service quality and perceived usefulness have a significant effect on trust, which in turn also has a positive effect on purchase intention. These findings emphasize the importance for service providers to deliver reliable service quality, ensure the usability and convenience of their apps, and build customer trust in order to increase loyalty among Generation Z users. This study contributes to the growing literature on consumer behavior on digital platforms by providing insights into the determinants of online purchase intention in the food delivery service sector.


 

Keywords

Attitude, Perceived Service Quality, Perceived Usefulness of Online Reviews, Trust, Purchase Intention, Generation Z

Article Details

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite
Nurmaden, E. S., & Lindiawati, L. (2026). The Influence of Attitude, Perceived Service Quality, Perceived Usefulness, and Trust on Purchase Intention Through Food Delivery Apps Among Generation Z. Amkop Management Accounting Review (AMAR), 5(2), 199–212. https://doi.org/10.37531/amar.v5i2.3302
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX

References

  1. Arnould, E. J., & Thompson, C. J. (2005). Reflections Twenty Years of Research. Journal of Consumer Research, 31(4), 868–882.
  2. Badan Pusat Statistik. (2023). STATISTIK INDONESIA 2023. Badan Pusat Statistik.
  3. Bhawan, H., & Nagar, P. (2010). The effects of website design on purchase intention in online shopping : the mediating role of trust and the moderating role of culture Boudhayan Ganguly * Satya Bhusan Dash Dianne Cyr Milena Head. 8, 302–330.
  4. Bhukya, R., & Singh, S. (2015). The effect of perceived risk dimensions on purchase intention: An empirical evidence from Indian private labels market. American Journal of Business, 30(4), 218–230.
  5. Boon, L. K., Fern, Y. S., & Chee, L. H. (2020). Generation Y’s Purchase Intention towards Natural Skincare Products: A PLS-SEM Analysis. An International Journal , 12(1), 61–77.
  6. Chakrabarty, S., Whitten, D., & Green, K. (2008). Understanding Service Quality and Relationship Quality in is Outsourcing: Client Orientation & Promotion, Project Management Effectiveness, and the Task-Technology-Structure Fit. Journal of Computer Information Systems, 48(2), 1–15. https://doi.org/10.1080/08874417.2008.11646004
  7. Cooper, D. R., & Schindle, P. S. (2014). Business research methods (12th ed.).
  8. Davis D., F. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. 13(3), 319–340. https://doi.org/https://doi.org/10.2307/249008
  9. Dennis, C., Jayawardhena, C., & Papamatthaiou, E. K. (2010). Antecedents of internet shopping intentions and the moderating effects of substitutability. International Review of Retail, Distribution and Consumer Research, 20(4), 411–430. https://doi.org/10.1080/09593969.2010.504008
  10. Dharmesti, M., Dharmesti, T. R. S., Kuhne, S., & Thaichon, P. (2019). Understanding online shopping behaviours and purchase intentions amongst millennials. Young Consumers, 22(1), 152–167. https://doi.org/10.1108/YC-12-2018-0922
  11. Diallo, M. F., & Siqueira, J. R. (2017). How previous positive experiences with store brands affect purchase intention in emerging countries: A comparison between Brazil and Colombia. International Marketing Review, 34(4), 536–558. https://doi.org/10.1108/IMR-07-2014-0224
  12. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27(1), 51–90. https://doi.org/10.2307/30036519
  13. Gefen, & Straub. (2003). Managing User Trust in B2C e-Services. E-Service Journal, 2(2), 7. https://doi.org/10.2979/esj.2003.2.2.7
  14. Ghozali, I., & Latan, H. (2014a). Partial Least Square: Konsep, Metode dan Aplikasi (2nd ed.). Undip Press.
  15. Ghozali, I., & Latan, H. (2014b). Partial Least Squares konsep, metode dan Aplikasi menggunakan program WarpPLS 4.0. Semarang: Badan Penerbit Universitas Diponegoro, 57.
  16. Gibreel, O., AlOtaibi, D. A., & Altmann, J. (2018). Social commerce development in emerging markets. Electronic Commerce Research and Applications, 27(December), 152–162. https://doi.org/10.1016/j.elerap.2017.12.008
  17. Gil Roig, J. M., Gracia Royoz, A., & Sánchez García, M. (2000). Market segmentation and willingness to pay for organic products in Spain. International Food and Agribusiness Management Review, 3(2), 207–226.
  18. Grehan, P. (2015). Attitudes Towards Online Dating and the Perceived Threat it Poses to the Future of Long Term Relationships. https://api.semanticscholar.org/CorpusID:143000432
  19. Hair, J F, Black, W. C., & Babin, B. J. (2010). Multivariate Data Analysis: A Global Perspective. Pearson Education. https://books.google.co.id/books?id=SLRPLgAACAAJ
  20. Hair, Josep F., Black, W. C., Babin, B. J., & Anderson, R. E. (2012). Multivariate Data Analysis.
  21. Hair, Jospeh Franklin, Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling. Long Range Planning, 46(1–2), 184–185. https://doi.org/https://doi.org/10.1016/j.lrp.2013.01.002
  22. Hajli, N. (2015). Social commerce constructs and consumer’s intention to buy. International Journal of Information Management, 35(2), 183–191. https://doi.org/10.1016/j.ijinfomgt.2014.12.005
  23. Han, B., Kim, M., & Lee, J. (2018). Exploring consumer attitudes and purchasing intentions of cross-border online shopping in Korea. Journal of Korea Trade, 22(2), 86–104. https://doi.org/10.1108/JKT-10-2017-0093
  24. Heider, F. (1958). The Psychology of Interpersonal Relations (1st Editio). https://doi.org/https://doi.org/10.4324/9780203781159
  25. Hong, I. B., & Cha, H. S. (2013). The mediating role of consumer trust in an online merchant in predicting purchase intention. International Journal of Information Management, 33(6), 927–939. https://doi.org/10.1016/j.ijinfomgt.2013.08.007
  26. Hsu, C. L., Lin, J. C. C., & Chiang, H. Sen. (2013). The effects of blogger recommendations on customers’ online shopping intentions. Internet Research, 23(1), 69–88. https://doi.org/10.1108/10662241311295782
  27. Hurlock 1898-1988, E. B. (Elizabeth B. (n.d.). Developmental psychology : a life-span approach. Fifth edition. New York : McGraw-Hill, [1980] ©1980. https://search.library.wisc.edu/catalog/999546345202121
  28. Hussein, A. S. (2015). Penelitian Bisnis dan Manajemen Menggunakan Partial Least Squares dengan SmartPLS 3.0. Universitas Brawijaya, 1, 1–19. https://doi.org/10.1023/A:1023202519395
  29. Jadil, Y., Rana, N. P., & Dwivedi, Y. K. (2022). Understanding the drivers of online trust and intention to buy on a website: An emerging market perspective. International Journal of Information Management Data Insights, 2(1), 100065. https://doi.org/10.1016/j.jjimei.2022.100065
  30. Jun, G., & Jaafar, N. I. (2011). A Study on Consumers’ Attitude towards Online Shopping in China. International Journal of Business and Social Science, 2(22), 122–132.
  31. Kelley, H. H. (1967). Attribution theory in social psychology. Nebraska Symposium on Motivation, 15, 192–238.
  32. KH, R. (2021). 50% Generasi Z Indonesia Pilih Layanan Pesan Makanan GrabFood. CNBC Indonesia. https://www.cnbcindonesia.com/tech/20210614102310-37-252849/50-generasi-z-indonesia-pilih-layanan-pesan-makanan-grabfood
  33. Kim, S., & Park, H. (2013). Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance. International Journal of Information Management, 33(2), 318–332. https://doi.org/10.1016/j.ijinfomgt.2012.11.006
  34. Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101
  35. Kok Li-Ming, A., & Boon Wai, T. (2013). Exploring Consumers’ Attitudes and Behaviours toward Online Hotel Room Reservations. American Journal of Economics, 2013(5C), 6–11. https://doi.org/10.5923/c.economics.201301.02
  36. Kotlerr, P., & Keller, K. L. (2016). Marketing Management (15th ed.). Pearson, Boston, 2016.
  37. Kuan, K. K. Y., Hui, K. L., Prasarnphanich, P., & Lai, H. Y. (2015). What makes a review voted? An empirical investigation of review voting in online review systems. Journal of the Association for Information Systems, 16(1), 48–71. https://doi.org/10.17705/1jais.00386
  38. Kusumawardani, K. A., & Hastayanti, S. A. (2020). Predicting the Effects of Perceived Service Quality and Logistics Service Innovation on Repurchase Intention of Instant Courier Services through Customer Satisfaction and Trust. Jurnal Manajemen Indonesia, 20(3), 177. https://doi.org/10.25124/jmi.v20i3.3515

Similar Articles

<< < 8 9 10 11 12 13 14 15 16 17 > >> 

You may also start an advanced similarity search for this article.