• Amelda Pramezwary Universitas Pelita Harapan
  • Kevin Gustian Yulius Universitas Pelita Harapan
  • Vinka P Viensa Universitas Pelita Harapan
  • Jonathan F Pujangga Universitas Pelita Harapan




generation Z, intention to use, online food delivery, technology


Food delivery industry has undergone a significant transformation with the rise of online platforms, appealing to tech-savvy Generation Z. Generation Z was chosen as they are considered the market of the future. This study examines the factors influencing Generation Z's use of online food delivery in Tangerang, during the post-COVID-19 period. Data from 150 Generation Z respondents who used online food delivery services in the past three months were analyzed using IBM SPSS version 25. The study found that perceived usefulness, trust, and time-saving benefits strongly influence Generation Z's intention to use online food delivery. They highly value the practicality, reliability, and efficiency of these platforms. Transparent communication and reliable delivery services are crucial for retaining Generation Z consumers, while highlighting the time-saving advantages is essential to meet their preferences. Surprisingly, factors like ease of use, food safety risk perception, COVID-19 severity, vulnerability, and price-saving benefits had insignificant influence. Understanding these preferences can help service providers, policymakers, and marketers enhance satisfaction and tailor their offerings to meet the needs of Generation Z in the competitive post-pandemic market. Further research is needed to uncover the specific drivers influencing Generation Z's adoption of online food delivery services.

Author Biography

Kevin Gustian Yulius, Universitas Pelita Harapan

SINTA ID: 6739303, GS ID: d7AAuqkAAAAJ


Akhmadi, H., Alfathah, A. R., & Susanawati. (2021). Generation Z consumer’s preferences for online food ordering application: A study of gofood and Grabfood. E3S Web of Conferences, 316, 01011. https://doi.org/10.1051/e3sconf/202131601011

Amankwah-Amoah, J., Khan, Z., Wood, G., & Knight, G. (2021). Covid-19 and digitalization: The great acceleration. Journal of Business Research, 136, 602–611.


An, S., Eck, T., & Yim, H. (2023). Understanding consumers’ acceptance intention to use mobile food delivery applications through an extended techno¬logy acceptance model. Sustainability, 15(1), 832. https://doi.org/10.3390/su15010832

Ayuni, R. F. (2019). The online shopping habits and e-loyalty of gen Z as natives in the Digital Era. Journal of Indonesian Economy and Business, 34(2), 168. https://doi.org/10.22146/jieb.39848

Banerjee, S. P., Jain, D., & Nayyar, R. (2019). Measuring service quality of food delivery services: A study of Generation Z. African Journal of Hospitality, Tourism and Leisure, 8(2).

Bumbac, R., Bobe, M., Procopie, R., Pamfilie, R., Giușcă, S., & Enache, C. (2020). How zoomers’ eating habits should be considered in shaping the food system for 2030—a case study on the young generation from Romania. Sustainability, 12(18), 7390. https://doi.org/10.3390/su12187390

Chayomchai, A. (2021). Effects of service quality, satisfaction, and perceived loyalty in technology use of generation Z consumers during the COVID-19 situation. Journal of Southwest Jiaotong Univer¬sity, 56(4), 300–310. https://doi.org/10.35741/issn.0258-2724.56.4.25

Chowdhury, R. (2023). Impact of perceived convenience, service quality and security on consumers’ behavioural intention towards online food delivery services: The role of attitude as mediator. SN Business & Economics, 3(1).


Çoklar, A. N., & 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

de Souza, T. S. P., Miyahira, R. F., Matheus, J. R., Nogueira, T. B., Maragoni-Santos, C., Barros, F. F., Costa Antunes, A. E., & Fai, A. E. (2022). Food Services in times of uncertainty: Remodeling operations, changing trends, and looking into perspectives after the covid-19 pandemic. Trends in Food Science & Technology, 120, 301–307. https://doi.org/10.1016/j.tifs.2022.01.005

Dimitriou, C. K., & Abouelgheit, E. (2019). Under-standing generation Z’s travel social decision-making. Tourism and Hospitality Management, 25(2), 311–334. https://doi.org/10.20867/thm.25.2.4

Duda-Chodak, A., Lukasiewicz, M., Zięć, G., Florkiewicz, A., & Filipiak-Florkiewicz, A. (2020). Covid-19 pandemic and food: Present knowledge, risks, consumers fears and safety. Trends in Food Science & Technology, 105, 145–160. https://doi.org/10.1016/j.tifs.2020.08.020

Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., Kumar, V., Rahman, M. M., Raman, R., Rauschnabel, P. A., Rowley, J., Salo, J., Tran, G. A., & Wang, Y. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59, 102168. https://doi.org/10.1016/j.ijinfomgt.2020.102168

Francioni, B., Curina, I., Hegner, S. M., & Cioppi, M. (2022). Predictors of continuance intention of online food delivery services: Gender as moderator. International Journal of Retail & Distribution Management, 50(12), 1437–1457. https://doi.org/10.1108/ijrdm-11-2021-0537

Gharzai, L. A., Beeler, W. H., & Jagsi, R. (2020). Playing into stereotypes: Engaging millennials and generation Z in the COVID-19 pandemic response. Advances in Radiation Oncology, 5(4), 679–681. https://doi.org/10.1016/j.adro.2020.04.009

González-Castro, J. L., Ubillos-Landa, S., Puente-Martínez, A., & Gracia-Leiva, M. (2021). Perceived vulnerability and severity predict adherence to COVID-19 protection measures: The mediating role of instrumental coping. Frontiers in Psycho¬logy, 12. https://doi.org/10.3389/fpsyg.2021.674032

Harari, T. T., Sela, Y., & Bareket-Bojmel, L. (2022). Gen Z during the COVID-19 crisis: A comparative analysis of the differences between gen Z and gen X in resilience, values and attitudes. Current Psychology. https://doi.org/10.1007/s12144-022-03501-4

Hasbi, I., Syahputra, S., Syarifuddin, S., Wijaksana, T. I., & Farías, P. (2022). The impact of discount appeal of food ordering application on consumer satisfaction in Southeast Asia. Journal of Eastern European and Central Asian Research (JEECAR), 9(6), 978–991. https://doi.org/10.15549/jeecar.v9i6.956

Hong, C., Choi, H. (Hailey), Choi, E.-K. (Cindy), & Joung, H.-W. (David). (2021). Factors affecting customer intention to use online food delivery services before and during the COVID-19 pandemic. Journal of Hospitality and Tourism Management, 48, 509–518. https://doi.org/10.1016/j.jhtm.2021.08.012

Ismail, N. A. F., Nasir, N. Mohd., Ghazali, S. N. F. M., Zamli, S. S., & Shafie, F. A. (2022). Delivering safety and hygiene: Online food delivery during crisis. MAEH Journal of Environmental Health, 4(1), 12–15.

Jiang, Y., & Stylos, N. (2021). Triggers of consumers’ enhanced digital engagement and the role of digital technologies in transforming the retail ecosystem during COVID-19 pandemic. Tech-nological Forecasting and Social Change, 172, 121029. https://doi.org/10.1016/j.techfore.2021.121029

Jun, K., Yoon, B., Lee, S., & Lee, D.-S. (2021). Factors influencing customer decisions to use online food delivery service during the COVID-19 pandemic. Foods, 11(1), 64. https://doi.org/10.3390/foods11010064

Kaur, P., Dhir, A., Talwar, S., & Ghuman, K. (2021). The value proposition of food delivery apps from the perspective of theory of consumption value. International Journal of Contemporary Hospitali¬ty Management, 33(4), 1129–1159. https://doi.org/10.1108/ijchm-05-2020-0477

Kim, S., Jang, S., Choi, W., Youn, C., & Lee, Y. (2021). Contactless service encounters among millennials and generation Z: The effects of millennials and gen Z characteristics on tech-nology self-efficacy and preference for contactless service. Journal of Research in Interactive Marketing, 16(1), 82–100. https://doi.org/10.1108/jrim-01-2021-0020

Kymäläinen, T., Seisto, A., & Malila, R. (2021). Generation Z food waste, diet and consumption habits: A Finnish social design study with future consumers. Sustainability, 13(4), 2124. https://doi.org/10.3390/su13042124

Lau, T.-C., & Ng, D. (2019). Online food delivery services: Making food delivery the new normal. Journal of Marketing Advances and Practices, 1(1), 63–78.

Lee, W. S., Song, M., Moon, J., & Tang, R. (2022). Application of the technology acceptance model to Food Delivery Apps. British Food Journal, 125(1), 49–64. https://doi.org/10.1108/bfj-05-2021-0574

Li, Chaojun, & Huang, X. (2022). How does covid-19 risk perception affect wellness tourist intention: Findings on Chinese generation z. Sustainability, 15(1), 141. https://doi.org/10.3390/su15010141

Li, Charlene, Mirosa, M., & Bremer, P. (2020). Review of online food delivery platforms and their impacts on sustainability. Sustainability, 12(14), 5528.


Li, Y., Yao, P., Osman, S., Zainudin, N., & Sabri, M. F. (2022). A thematic review on using food delivery services during the pandemic: Insights for the post-covid-19 era. International Journal of Environmental Research and Public Health, 19(22), 15267. https://doi.org/10.3390/ijerph192215267

Liu, H., Liu, W., Yoganathan, V., & Osburg, V.-S. (2021). Covid-19 information overload and gene¬ration Z’s social media discontinuance intention during the pandemic lockdown. Technological Forecasting and Social Change, 166, 120600. https://doi.org/10.1016/j.techfore.2021.120600

Lu, J.-D. (Evelyn), & Lin, J.-S. (Elaine). (2022). Exploring uses and gratifications and psycho-logical outcomes of engagement with Instagram Stories. Computers in Human Behavior Reports, 6, 100198. https://doi.org/10.1016/j.chbr.2022.100198

McKeever, M., Diffley, S., & O’Rourke, V. (2021). Generation Z: An exploration of their unique values driving brand affinity. Irish Academy of Management Conference.

Memon, M. A., Ting, H., Cheah, J.-H., Thurasamy, R., Chuah, F., & Cham, T. H. (2020). Sample size for survey research: Review and recommendations. Journal of Applied Structural Equation Modeling, 4(2), i–xx. https://doi.org/10.47263/jasem.4(2)01

Min, J., Yang, K., & Kim, J. (2021). The role of perceived vulnerability in restaurant customers’ co-creation behavior and repatronage intention during the covid-19 pandemic. Journal of Vacation Marketing, 28(1), 38–51.


Muangmee, C., Kot, S., Meekaewkunchorn, N., Kassakorn, N., & Khalid, B. (2021). Factors determining the behavioral intention 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

Ozili, P. K. (2022). The acceptable R-square in empirical modelling for social science research. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4128165

Peña-García, N., Gil-Saura, I., Rodríguez-Orejuela, A., & Siqueira-Junior, J. R. (2020). Purchase intention and purchase behavior online: A cross-cultural approach. Heliyon, 6(6). https://doi.org/10.1016/j.heliyon.2020.e04284

Pillai, S. G., Kim, W. G., Haldorai, K., & Kim, H.-S. (2022). Online food delivery services and con-sumers’ purchase intention: Integration of theory of planned behavior, theory of perceived risk, and the elaboration likelihood model. International Journal of Hospitality Management, 105, 103275. https://doi.org/10.1016/j.ijhm.2022.103275

Poon, W. C., & Tung, S. E. (2022). The rise of online food delivery culture during the COVID-19 pandemic: An analysis of intention and its associated risk. European Journal of Manage¬ment and Business Economics.


Priporas, C.-V., Stylos, N., & Fotiadis, A. K. (2017). Generation Z consumers’ expectations of inter-actions in smart retailing: A future agenda. Com-puters in Human Behavior, 77, 374–381. https://doi.org/10.1016/j.chb.2017.01.058

Rodríguez-Torrico, P., Apadula, L. T., San Martín, S., & Cabezudo, R. S. J. (2020). Have an omni-channel seamless interaction experience! Dimen-sions and effect on consumer satisfaction. Journal of Marketing Management, 36(4), 1731–1761. https://doi.org/10.1080/0267257x.2020.1801798

Rue, P. (2018). Make way, millennials, here comes gen Z. About Campus: Enriching the Student Learning Experience, 23(3), 5–12. https://doi.org/10.1177/1086482218804251

Safira, M., & Chikaraishi, M. (2022). The impact of online food delivery service on eating-out behavior: A case of multi-service transport platforms (MSTPS) in Indonesia. Transportation. https://doi.org/10.1007/s11116-022-10307-7

Schober, P., Boer, C., & Schwarte, L. A. (2018). Correlation coefficients: Appropriate use and inter¬¬pretation. Anesthesia & Analgesia, 126(5), 1763–1768. https://doi.org/10.1213/ane.0000000000002864

Suhartanto, D., Dean, D., Leo, G., & Nyoman Triyuni, N. (2019). Millennial experience with online food home delivery: A lesson from Indonesia. Inter-disciplinary Journal of Information, Knowledge, and Management, 14, 277–294. https://doi.org/10.28945/4386

Suyanto, B., Yulius, K. G., Julita, Djati, S. P., & Nurbaeti. (2023). Predictors of generation Z revisit intention to Mangkokku Restaurant during COVID-19 pandemic. Enrichment : Journal of Management, 12(6), 4911–4918. https://doi.org/10.35335/enrichment.v12i6.1185

Szymkowiak, A., Melović, B., Dabić, M., Jeganathan, K., & Kundi, G. S. (2021). Information Techno-logy and gen Z: The role of teachers, the internet, and technology in the education of young people. Technology in Society, 65, 101565. https://doi.org/10.1016/j.techsoc.2021.101565

Taber, K. S. (2017). The use of Cronbach’s alpha when developing and Reporting Research Instruments in science education. Research in Science Edu¬cation, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2

Thomas, M. R., V., K., & (India), M. M. (2018). Online website cues influencing the purchase intention of generation Z mediated by trust. Indian Journal of Commerce & Management Studies, IX(1), 13. https://doi.org/10.18843/ijcms/v9i1/03

Turner, A. (2015). Generation Z: Technology and social interest. The Journal of Individual Psychology, 71(2), 103–113. https://doi.org/10.1353/jip.2015.0021

Upadhayay, D., Thakkar, H., & Ghiya, N. (2020). A study of impact of promotion and marketing campaigns by online food delivery service on buying behavior of customer of Ahmedabad. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3637941

Vancia, A. P. P., Băltescu, C. A., Brătucu, G., Tecău, A. S., Chițu, I. B., & Duguleană, L. (2023). Examining the disruptive potential of generation Z tourists on the travel industry in the Digital age. Sustainability, 15(11), 8756.


Yulius, K. G., Chriselina, C., Darmadi, D., & Sianipar, R. (2023). Preferensi Generasi Z dalam membeli minuman ukuran venti di Starbucks Harapan Indah Bekasi Barat. Journal of Tourism Destination and Attraction, 11(1), 47–58. https://doi.org/10.35814/tourism.v11i1.4696

Yulius, K. G., King, F. T., & Suhaidi, K. (2022). Faktor -faktor keputusan penggunaan online foodservice delivery system pada generasi milenial di Jakarta. Hospitour: Journal of Hospitality & Tourism Innovation, 6(1), 58–75.

Zuo, Y., Zhang, K., Xu, S., Law, R., Qiu, Q., & Zhang, M. (2022). What kind of food can win Gen z’s favor? A mixed methods study from China. Food Quality and Preference, 98, 104522. https://doi.org/10.1016/j.foodqual.2021.104522




How to Cite

Pramezwary, A., Yulius, K. G., Viensa, V. P., & Pujangga, J. F. (2023). FACTORS DRIVING GENERATION Z’S USE OF ONLINE FOOD DELIVERY SERVICE AT THE END OF PANDEMIC. Jurnal Manajemen Perhotelan, 9(2), 101-112. https://doi.org/10.9744/jmp.9.2.101-112