Main Article Content
Abstract
This study investigates why Indonesian Gen Y and Z users continue using specific mobile food ordering applications (MFOAs) post-pandemic, leading to market dominance by a few platforms. Analyzing 234 users, the research found that while saving time, money, and convenience all contribute to user satisfaction, only time and money savings directly influence the intention to continue using an app. Surprisingly, and contrary to previous literature, convenience does not directly impact user retention. These findings provide new insights for developers on improving long-term engagement by focusing on tangible benefits beyond mere convenience for these generations.
Keywords
Article Details
References
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References
Alalwan, A. A. (2020). Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse. International Journal of Information Management, 50, 28–44. https://doi.org/10.1016/j.ijinfomgt.2019.04.008
Ali, A., Ali, A., Xiaoling, G., Sherwani, M., & Hussain, S. (2018). Expanding the theory of planned behaviour to predict Chinese Muslims halal meat purchase intention. British Food Journal, 120(1), 2–17. https://doi.org/10.1108/BFJ-05-2017-0278
Annur, C. M. (2023). Pertumbuhan Online Food Delivery di ASEAN Melambat pada 2022. Databoks. https://databoks.katadata.co.id/datapublish/2023/01/19/pertumbuhan-online-food-delivery-di-asean-melambat-pada-2022
Bao, Z., & Zhu, Y. (2021). Why customers have the intention to reuse food delivery apps: evidence from China. British Food Journal, 124(1), 179–196. https://doi.org/10.1108/BFJ-03-2021-0205
Bauer, J. M., & S. Prado, T. (2020). Digital Platforms and Innovation: Lessons for Innovation Policy and Regulation. In SSRN Electronic Journal. papers.ssrn.com. https://doi.org/10.2139/ssrn.3749670
Brewer, P., & Sebby, A. G. (2021). The effect of online restaurant menus on consumers’ purchase intentions during the COVID-19 pandemic. International Journal of Hospitality Management, 94, 102777. https://doi.org/10.1016/j.ijhm.2020.102777
Cepeda-Carrion, G., Cegarra-Navarro, J. G., & Cillo, V. (2019). Tips to use partial least squares structural equation modelling (PLS-SEM) in knowledge management. Journal of Knowledge Management, 23(1), 67–89. https://doi.org/10.1108/JKM-05-2018-0322
Chakraborty, D., Siddiqui, A., Siddiqui, M., Rana, N. P., & Dash, G. (2022). Mobile payment apps filling value gaps: Integrating consumption values with initial trust and customer involvement. Journal of Retailing and Consumer Services, 66. https://doi.org/10.1016/j.jretconser.2022.102946
Chan, E. Y., & Saqib, N. U. (2021). Privacy concerns can explain unwillingness to download and use contact tracing apps when COVID-19 concerns are high. Computers in Human Behavior, 119, 106718. https://doi.org/10.1016/j.chb.2021.106718
Choi, H., Park, J., Kim, J., & Jung, Y. (2020). Consumer preferences of attributes of mobile payment services in South Korea. Telematics and Informatics, 51. https://doi.org/10.1016/j.tele.2020.101397
Cindy Mutia Annur. (2024). Jumlah Pengguna Internet di Indonesia Per Januari (2014-2024). Databoks. https://databoks.katadata.co.id/datapublish/2024/02/27/ada-185-juta-pengguna-internet-di-indonesia-pada-januari-2024
Dirsehan, T., & Cankat, E. (2021). Role of mobile food-ordering applications in developing restaurants’ brand satisfaction and loyalty in the pandemic period. Journal of Retailing and Consumer Services, 62, 102608. https://doi.org/10.1016/j.jretconser.2021.102608
Duy Phuong, N. N., Luan, L. T., Van Dong, V., & Le Nhat Khanh, N. (2020). Examining customers’ continuance intentions towards e-wallet usage: The emergence of mobile payment acceptance in Vietnam. Journal of Asian Finance, Economics and Business, 7(9), 505–516. https://doi.org/10.13106/JAFEB.2020.VOL7.NO9.505
Fairlie, R., & Fossen, F. M. (2022). The early impacts of the COVID-19 pandemic on business sales. Small Business Economics, 58(4), 1853–1864. https://doi.org/10.1007/s11187-021-00479-4
Gunden, N., Morosan, C., & DeFranco, A. (2020). Consumers’ intentions to use online food delivery systems in the USA. International Journal of Contemporary Hospitality Management, 32(3), 1325–1345. https://doi.org/10.1108/IJCHM-06-2019-0595
Habib, S., & Hamadneh, N. N. (2021). Impact of perceived risk on consumers technology acceptance in online grocery adoption amid covid-19 pandemic. Sustainability (Switzerland), 13(18), 10221. https://doi.org/10.3390/su131810221
Helson, H. (1948). Adaptation-level as a basis for a quantitative theory of frames of reference. Psychological Review, 55(6), 297–313. https://doi.org/10.1037/h0056721
Hidranto, F. (2023). Bisnis Pesan Makanan Daring Menjanjikan. Indonesia.Go.Id. https://indonesia.go.id/kategori/indonesia-dalam-angka/6853/bisnis-pesan-makanan-daring-menjanjikan?lang=1
Hoang, H., & Le Tan, T. (2023). Unveiling digital transformation: Investigating technology adoption in Vietnam’s food delivery industry for enhanced customer experience. Heliyon, 9(9). https://doi.org/10.1016/j.heliyon.2023.e19719
Hong, C., Choi, E. K., Joung, H. W., & Kim, H. S. (2023). The impact of customer perceived value on customer satisfaction and loyalty toward the food delivery robot service. Journal of Hospitality and Tourism Technology, 14(5), 908–924. https://doi.org/10.1108/JHTT-11-2022-0305
Hossain, M. (2021). The effect of the Covid-19 on sharing economy activities. Journal of Cleaner Production, 280, 124782. https://doi.org/10.1016/j.jclepro.2020.124782
Indrawati, & Putri, D. A. (2018). Analyzing factors influencing continuance intention of E-payment adoption using modified UTAUT 2 Model: (A case study of Go-Pay from Indonesia). In 2018 6th International Conference on Information and Communication Technology, ICoICT 2018 (pp. 167–173). https://doi.org/10.1109/ICoICT.2018.8528748
Kusumapradana, B. S., & Aisyah, S. (2022). the Effect of Financial Literacy and Financial Attitude on the Use of Digital Wallets Among Students in Surakarta City. Ajar, 5(02), 193–206. https://doi.org/10.35129/ajar.v5i02.346
Lissitsa, S., & Kol, O. (2021). Four generational cohorts and hedonic m-shopping: association between personality traits and purchase intention. Electronic Commerce Research, 21(2), 545–570. https://doi.org/10.1007/s10660-019-09381-4
Mahardika, S. A., & Suhari, Y. (2023). Perceived Ease of Use and Perceived Usefulness on the Intention To Use E-Ticketing Football. Jurnal TAM (Technology Acceptance Model), 14(1), 57. https://doi.org/10.56327/jurnaltam.v14i1.1402
Mofokeng, T. E. (2021). The impact of online shopping attributes on customer satisfaction and loyalty: Moderating effects of e-commerce experience. Cogent Business and Management, 8(1), 1968206. https://doi.org/10.1080/23311975.2021.1968206
Muhammad Yasin, Hendrik Hermansyah, Yeny Novita Fitriani, & Dhaful Oktaviatul. (2023). Dampak Oligopoli Terhadap Ekonomi Masyarakat Di Wilayah Surabaya. MENAWAN : Jurnal Riset Dan Publikasi Ilmu Ekonomi, 2(1), 206–214. https://doi.org/10.61132/menawan.v2i1.162
Mukharomah, W., Wardana, C. K., A’zizah, L. O. F., Abas, N. I., Ulynnuha, O. I., & Fatchan, F. H. (2023). Aktivasi Branding Pada Minimarket Lokal. JMM (Jurnal Masyarakat Mandiri), 7(4), 3379. https://doi.org/10.31764/jmm.v7i4.15883
Nguyen, T., Huang, E., & Nguyen, D. M. (2023). Food delivery app continuance: a dual model and segmentation approach. International Journal of Retail and Distribution Management, 51(5), 569–589. https://doi.org/10.1108/IJRDM-06-2022-0217
Osborne, J. W., & Costello, A. B. (2004). Sample size and subject to item ratio in principal components analysis. Practical Assessment, Research and Evaluation, 9(11), 11.
Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). E-S-QUAL a multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213–233. https://doi.org/10.1177/1094670504271156
Pillai, S. G., Kim, W. G., Haldorai, K., & Kim, H. S. (2022). Online food delivery services and consumers’ 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
Pratiwi, F. M., & Puspawati, D. (2022). Factors Influencing Millennial Generation Investment Decisions: Focus on Investment Behaviour. Procedia of Social Sciences and Humanities, 3, 19–27. https://doi.org/10.21070/pssh.v3i.198
Putri, E., Praswati, A. N., Muna, N., & Sari, N. P. (2022). E-Finance Transformation: A Study of M-Wallet Adoption in Indonesia. Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi Dan Pembangunan, 23(1), 123–134. https://doi.org/10.23917/jep.v23i1.15469
Ramesh, R., Venkatesa Prabhu, S., Sasikumar, B., Kiruthika Devi, B. S., Prasath, P., & Praveena Rachel Kamala, S. (2023). An empirical study of online food delivery services from applications perspective. Materials Today: Proceedings, 80, 1751–1755. https://doi.org/10.1016/j.matpr.2021.05.500
RAMLI, N. A. B. (2019). Mobile Application for Fresh Food Ordering.
Savitha, B., Hawaldar, I. T., & Kumar K, N. (2022). Continuance intentions to use FinTech peer-to-peer payments apps in India. Heliyon, 8(11). https://doi.org/10.1016/j.heliyon.2022.e11654
Saymeh, H. A. F., Zhang, X., Peng, T., Tang, R., Wang, Z., & Zheng, P. (2021). Exploration of the digital innovation process in the smart product-service system. Proceedings of the ASME Design Engineering Technical Conference, 2. https://doi.org/10.1115/DETC2021-70848
Setiawati, E., Trisnawati, R., & Diana, U. (2019). the Analysis of Acceptance of Hospital Information Management System (Hims) Using Technology Acceptance Model Method. Riset Akuntansi Dan Keuangan Indonesia, 4(2), 186–195. https://doi.org/10.23917/reaksi.v4i2.8652
Shah, A. M., Yan, X., & Qayyum, A. (2022). Adoption of mobile food ordering apps for O2O food delivery services during the COVID-19 outbreak. British Food Journal, 124(11), 3368–3395. https://doi.org/10.1108/BFJ-09-2020-0781
Singh, S. (2020). An integrated model combining the ECM and the UTAUT to explain users’ post-adoption behaviour towards mobile payment systems. Australasian Journal of Information Systems, 24, 1–27. https://doi.org/10.3127/ajis.v24i0.2695
Statista. (2024). Online Food Delivery - Ghana. Statista.Com. https://www.statista.com/outlook/emo/online-food-delivery/ghana
Talwar, S., Dhir, A., Scuotto, V., & Kaur, P. (2021). Barriers and paradoxical recommendation behaviour in online to offline (O2O) services. A convergent mixed-method study. Journal of Business Research, 131, 25–39. https://doi.org/10.1016/j.jbusres.2021.03.049
Tambe, A., Chauhan, D., & Hardik, J. (2022). Examining Services Gaps and Competitive Analysis of Online Food Ordering Apps. International Journal for Research in Applied Science and Engineering Technology, 10(3), 752–761. https://doi.org/10.22214/ijraset.2022.40733
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