Acceptance of Mobile Food Delivery Application: Extending UTAUT2 with Perceptions of Food Safety and Food Delivery Hygiene
Abstract
The government implemented policies for working and schooling from home and restricted access to public spaces during the COVID-19 pandemic. This policy requires people to stay at home, minimize going home, social distancing, and follow health protocols. To meet their daily consumption needs, the community purchased raw ingredients or ready-to-eat food online using the Mobile Food Delivery Application (MFDA). During the pandemic, the public's use of MFDA technology has increased significantly. Factors that are suspected to influence the increase in MFDA usage are the aspects of food safety and hygiene, as well as the delivery process. According to MFDA providers, pandemic conditions increase competition between providers in providing the best services that provide user safety and comfort. Therefore, the purpose of this research is to investigate the factors that influence consumer behavior toward the acceptance of MFDA so that providers can formulate appropriate strategies to win the competition. The research model is based on the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model and several models in previous studies related to acceptance of MFDA. The survey was conducted on 244 MFDA users in the Bandung Raya area during the pandemic. Data processing is using Structural Equation Modeling (SEM) with Partial Least Square (PLS) approach. The results of this study show that Facilitating Conditions, Habits, Perceptions of Food Safety, and Food Delivery Hygiene influence the Behavioral Intention to use MFDA during the pandemic. The results of this research can be used by providers to improve strategies for winning the market in pandemic conditions or other disaster conditions in the future.
Keywords
Full Text:
PDFReferences
Al Amin, M., Arefin, M. S., Alam, M. R., Ahammad, T., & Hoque, M. R. (2021). Using Mobile Food Delivery Applications during COVID-19 Pandemic: An Extended Model of Planned Behavior. Journal of Food Products Marketing, 27(2), 105–126. https://doi.org/10.1080/10454446.2021.1906817
Chen, L., Rashidin, Md. S., Song, F., Wang, Y., Javed, S., & Wang, J. (2021). Determinants of Consumer’s Purchase Intention on Fresh e-Commerce Platform: Perspective of UTAUT Model. SAGE Open, 11(2), 1–17. https://doi.org/10.1177/21582440211027875
Chief Food Officer Gojek Group. (2021). Transaksi mitra gofood gojek melonjak 7 kali lipat tahun ini. Https://Katadata.Co.Id/Digital/Startup/616d089cefee9/Transaksi-Mitra-Gofood-Gojek-Melonjak-7-Kali-Lipat-Tahun-Ini.
Chotigo, J., & Kadono, Y. (2021). Comparative Analysis of Key Factors Encouraging Food Delivery App Adoption Before and During the COVID-19 Pandemic in Thailand. Sustainability, 13(8), 1–25. https://doi.org/10.3390/su13084088
Gao, X., Shi, X., Guo, H., & Liu, Y. (2020). To buy or not buy food online: The impact of the COVID-19 epidemic on the adoption of e-commerce in China. PLOS ONE, 15(8), 1–14. https://doi.org/10.1371/journal.pone.0237900
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate Data Analysis 7th Edition. Pearson.
Hooi, R., Leong, T. K., & Yee, L. H. (2021). Intention to Use Online Food Delivery Service in Malaysia among University Students. CoMBInE, 1(1), 60–73.
Izzati, B. M. (2020). Analysis of Customer Behavior in Mobile Food Ordering Application Using UTAUT Model (Case Study: GoFood Application). International Journal of Innovation in Enterprise System, 4(01), 23–34. https://doi.org/10.25124/ijies.v4i01.45
Kartono, R., & Tjahjadi, J. K. (2021). Factors Affecting Consumers’ Intentions to Use Online Food Delivery Services During Coronavirus (COVID-19) Outbreak in Jabodetabek Area. The Winners, 22(1), 1–14. https://doi.org/10.21512/tw.v22i1.6822
Kementerian Pendayagunaan Aparatur Negara dan Reformasi Birokrasi. (2020, March 16). Pencegahan Penyebaran Virus COVID-19 dengan Kerja di Rumah bagi ASN. Https://Menpan.Go.Id/Site/Berita-Terkini/Pencegahan-Penyebaran-Virus-COVID-19-Dengan-Kerja-Di-Rumah-Bagi-Asn.
Lee, S. W., Sung, H. J., & Jeon, H. M. (2019). Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality. Sustainability, 11(11), 1–15. https://doi.org/10.3390/su11113141
Limsarun, T., Navavongsathian, A., Vongchavalitkul, B., & Damrongpong, N. (2021). Factors Affecting Consumer’s Loyalty in Food Delivery Application Service in Thailand. Journal of Asian Finance, Economics and Business, 8(2), 1025–1032. https://doi.org/10.13106/jafeb.2021.vol8.no2.1025
Momentum Works. (2022, December). Food Delivery Platforms in Southeast Asia (SEA). Https://Katadata.Co.Id/Infografik/622971fec872d/Persaingan-Sengit-Bisnis-Pesan-Antar-Makanan-Di-Asean.
Momentum Works. (2024). Transaksi grabfood hingga 6 kali lipat gofood dan shopeefood. Https://Katadata.Co.Id/Digital/Startup/65b7722910085/Transaksi-Grabfood-Hingga-6-Kali-Lipat-Gofood-Dan-Shopeefood.
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
Palau-Saumell, R., Forgas-Coll, S., Sánchez-García, J., & Robres, E. (2019). User Acceptance of Mobile Apps for Restaurants: An Expanded and Extended UTAUT-2. Sustainability, 11(4), 1–24. https://doi.org/10.3390/su11041210
Park, J., Yang, S., & Lehto, X. (2007). Adoption of Mobile Technologies for Chinese Consumers. Journal of Electronic Commerce Research, 8(3), 196–206.
Prasetyo, Y. T., Mariyanto, M., Hanjaya, C., Young, M. N., Tanto, H., Fadil Persada, S., Miraja, B. A., & Redi, A. A. N. P. (2021). Factors Affecting Customer Satisfaction & Loyalty in Online Food Delivery Service during COVID-19 Pandemic: Its Relation with Open Innovation. https://doi.org/10.20944/preprints202102.0359.v2
Puriwat, W., & Tripopsakul, S. (2021). Understanding Food Delivery Mobile Application Technology Adoption: A UTAUT Model Integrating Perceived Fear of COVID-19. Emerging Science Journal, 5, 94–104. https://doi.org/10.28991/esj-2021-SPER-08
Rizou, M., Galanakis, I. M., Aldawoud, T. M. S., & Galanakis, C. M. (2020). Safety of foods, food supply chain and environment within the COVID-19 pandemic. Trends in Food Science & Technology, 102, 293–299. https://doi.org/10.1016/j.tifs.2020.06.008
Santosa, A. D., Taufik, N., Prabowo, F. H. E., & Rahmawati, M. (2021). Continuance Intention of Baby Boomer and X Generation as New Users of Digital Payment During COVID-19 Pandemic Using UTAUT2. Journal of Financial Services Marketing, 26(4), 259–273. https://doi.org/10.1057/s41264-021-00104-1
Santoso, A. S., & Maureen Nelloh, L. A. (2017). User Satisfaction and Intention to Use Peer-to-Peer Online Transportation: A Replication Study. Procedia Computer Science, 124, 379–387. https://doi.org/10.1016/j.procs.2017.12.168
Septiani, R., Handayani, P. W., & Azzahro, F. (2017). Factors that Affecting Behavioral Intention in Online Transportation Service: Case study of GO-JEK. Procedia Computer Science, 124, 504–512. https://doi.org/10.1016/j.procs.2017.12.183
Snapcart Indonesia. (2021, November 22). GrabFood the most-used food delivery platform amongst consumers and merchants in Indonesia. Https://Snapcart.Global/Article-Grabfood-the-Most-Used-Food-Delivery-Platform-amongst-Consumers-and-Merchants-in-Indonesia-Study/#.
Tenggara Strategics. (2022, June 17). Online Food Delivery (OFD) Consumption Behavior and Perception Survey in Indonesia. Https://Tenggara.Id/Portfolio/Online-Food-Delivery-OFD-Consumption-Behavior-and-Perception-Survey-in-Indonesia.
Venkatesh, V., Smith, R. H., Morris, M. G., Davis, G. B., Davis, F. D., & Walton, S. M. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425–478.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending The Unified Theory of Acceptance and Use of Technology. MIS Quarterly , 36(1), 157–178.
World Health Organization. (2020a). Infographics of COVID-19: Physical distancing. Https://Www.Who.Int/Westernpacific/Emergencies/COVID-19/Information/Physical-Distancing.
World Health Organization. (2020b, April 27). WHO Timeline - COVID-19. Https://Www.Who.Int/Director-General/Speeches/Detail/Who-Director-General-s-Opening-Remarks-at-the-Media-Briefing-on-COVID-19---11-March-2020.
Yao, P., Osman, S., Sabri, M. F., Zainudin, N., & Li, Y. (2023). 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
Zhao, Y., & Bacao, F. (2020). What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? International Journal of Hospitality Management, 91, 1–12. https://doi.org/10.1016/j.ijhm.2020.102683
Refbacks
- There are currently no refbacks.