This study theoretically analyzes factors influencing consumers’ continuance usage intention towards food delivery application in Kuang, Selangor using Unified Theory Acceptance and Use of Technology (UTAUT). The study was necessitated by food delivery application usage blooms during the Covid-19 pandemic. The study used quantitative techniques, and a sample survey of 456 Kuang’s respondents who have experience in using food delivery applications were employed in this study; as a result, 404 responses were successfully gathered, representing 88.59 percent. In conducting the reliability and validity analysis, 378 responses were found to be fit to be used for further analysis, and 26 responses were eliminated due to the data-cleaning process. The finding reveals that performance expectancy was identified to have the strongest positive influence on consumers’ intention to continually use food delivery applications, followed by social influence. This study is deemed important in understanding consumer behavior intention towards the usage of food delivery applications. This is invaluable to food operators as the world economy relies on information technology. In other words, the future of businesses was strongly believed to be dominated by information technology. In conclusion, this study has a role in improving food operators’ service and profit.
Alalwan, A. A. (2020). Mobile Food Ordering Apps: An Empirical Study of the Factors affecting Customer E- Satisfaction and Continued Intention to Reuse. International of Information Management. 50 (2020), 28-44. https://doi.org/10.1016/j.ijinfomgt.2019.04.008
Alaimo, L. S., Fiore, M., & Galati, A. (2020). How the Covid-19 Pandemic Is Changing Online Food Shopping Human Behaviour in Italy. Sustainability. 12(22), 9594–9610. doi:10.3390/su12229594
Ambalov, I. A. (2018). A meta-analysis of IT continuance: An evaluation of the expectation-confirmation model. Telematics and Informatics, 35(6), 1561–1571. https://doi.org/10.1016/j.tele.2018.03.016
Ariffin, S., Manan, A., Ahmad, N., Muhammad, N. S., Hamdan, F., & Sabrina, M. (2021). Continuous intention to use technology of online food delivery services among young adults. UiTM Institutional. 7(1). 56-54.
https://doi.org/https://ir.uitm.edu.my/id/eprint/49505/1/49505.pdf
BBC News. (2020). Coronavirus: This Is Not the Last Pandemic.https://www.bbc.com/news/scienceenvironment-52775386
BBC News. (2022). Monkeypox: WHO declares highest alert over outbreak (2022). https://www.bbc.com/news/health-62279436
Bhattacherjee, A. (2001). “Understanding information systems continuance: an expectation-confirmation model”, MIS Quarterly. 25(3),351-370.
Bhattacherjee, A., and Lin, C.-P. (2015). “A unified model of IT continuance: three complementary perspectives and crossover effects”, European Journal of Information Systems. 24(4),364-373.
Chaiyasoonthorn, W., Khalid, B., & Chaveesuk, S. (2019). Success of Smart Cities Development with Community’s Acceptance of New Technologies: Thailand Perspective. In Proceedings of the 9th International Conference on Information Communication and Management (ICICM 2019). Association for Computing Machinery, New York, NY, USA, 106–111. DOI: https://doi.org/10.1145/3357419.3357440
Cho, M., Bonn, M. A., and Li, J. (2019). Differences in perceptions about food delivery apps between single-person and multi-person households. International Journal of Hospitality Management. 77, 108-116. doi: 10.1016/j.ijhm.2018.06.019.
Das, S., & Ghose, D. (2019). Influence of Online Food Delivery Apps on the Operation of the Restaurant Business. International Journal of Scientific and Technology Research. 8(12), 1372-1377. https://www.scribd.com/document/495176297/Influence-Of-Online-Food-Delivery-Apps-On-The-Operations-Of-The-Restaurant-Business
Davis, C., Chong, N. K., Oh, J. Y., Baeg, A., Rajasegaran, K., & Elaine Chew, C. S. (2020). Caring for children and adolescents with eating disorders in the current COVID-19 pandemic: A Singapore perspective. Journal of Adolescent Health. 67(1), 131-134. https://doi.org/10.1016/j. jadohealth.2020.03.037
Department of Statistics Malaysia Official Portal. (2022). Dosm.gov.my. https://www.dosm.gov.my/v1/index.php?r=column/ctheme&menu_id=L0pheU43NWJwRWVSZklWdzQ4TlhUUT09&bul_id=MDMxdHZjWTk1SjFzTzNkRXYzcVZjdz09
Dishman, L. (2020). The Delivery App Landscapes is Changing and Sustaining Businesses During COVID-19. https://www.uschamber.com/co/good-company/launch-pad/coronavirus-pandemic-food-delivery-businesses
Fauzi, A. A. (2019). Critical Factors on SME Managers’ adoption Of Online Delivery Service Application. International Journal of Business and Society. 20(3),1130-1148.
Gunden, N., Morosan, C. and De Franco, A. (2020). Consumers’ intentions to use online food delivery systems in the USA. International Journal of Contemporary Hospitality Management. 32(32),1325-1345, doi: 10.1108/IJCHM-06-2019-0595.
Gundlach, G. T., & Wilkie, W. L. (2009). The American Marketing Association’s New Definition of Marketing: Perspective and Commentary on the 2007. American Marketing Association. 28(20), 259-264.
https://www.researchgate.net/publication/228458287_The_American_Marketing_Association’s_New_Definition_of_Marketing_Perspective_and_Commentary_on_the_2007Revision
Hirschberg, C., Rajko, A., Schumacher, T., and Wrulich, M. (2016). The changing market for food delivery. McKinsey and Company Telecommunications, available at: https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/the-changing-marketfor-food-delivery#.
Idris, N. A., Mohamad, M. A., Manshoor, A., Mohamad, N. H., & Ngah, H. C. (2021). Consumers’ Intention Towards Online Food Ordering and Delivery Service. Jurnal Intelek. 16(2), 37-47. https://myjms.mohe.gov.my/index.php/intelek/article/view/15979
Isa, N. F., Yusoff, N. M., Akhir., I. M., & Osman, S., (2021). The Effect of Consumer Experience on Food Delivery. 10(17), 299-309. Apps. http://dx.doi.org/10.6007/IJARBSS/v11-i13/8549
Jain, R., Verma, M., and Jaggi, C. K. (2020). Impact on bullwhip effect in food industry due to food delivery apps. Opsearch. 58, 48-159. doi: 10.1007/s12597-020-00469-2.
Kim, J., Kim, J., Lee, S. K., & Tang, L. (2020). Effects of epidemic disease outbreaks on financial performance of restaurants: Event study method approach. Journal of Hospitality and Tourism Management. 43, 32–41. https://doi.org/10.1016/j.jhtm.2020.01.015
Kupfer, A., Ableitner, L., Schob, S., and Tiefenbeck, V. (2016). Technology adoption vs. Continuous usage intention: do decision criteria change when using a technology? Twenty-second Americas Conference on Information Systems. San Diego.
Kuru, O. N. (2021). Effects of Marketing Strategies on Prestigious Housing Identity: A Study on Mass-Housing Examples, in Izmir City Center. https://www.researchgate.net/publication/355479428_Effects_Of_Marketing_Strategies_on_Prestigious_Housing_Identity_A_Study_on_Mass-Housing_Examples_in_Izmir_City_Center
Lahap, J., Ramli, N. S., Said, N. M., Radzi, S. M., Zain, R. A. (2016). A Study of Brand Image towards Customer’s Satisfaction in the Malaysian Hotel Industry. Procedia – Social Behavioural Sciences. 224 (2016), 149-157.
Lahap, J., Azlan, R. I., Bahri, K. A., Said, N. M., Abdullah, D., and Zain, R. A. (2018). The effect of perceived waiting time on customer’s satisfaction: A focus on fast food restaurant. International Journal of Supply Chain Management. 7(5), 259-266.
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), 3141. https://doi.org/10.3390/su11113141
Liu, R. (2017). A Reappraisal on Marketing Definition and Marketing Theory. Journal of Eastern European and Central Asian Research. 4(2). https://doi.org/10.15549/jeecar.v4i2.170
Liu, C., & Chen, J. (2019). Consuming takeaway food: Convenience, waste and Chinese young people’s urban lifestyle. Journal of Consumer Culture. 21(4), 848–866. https://doi.org/10.1177/1469540519882487
Li, C., Mirosa, M., and Bremer, P. (2020). Review of online food delivery platforms and their impacts on sustainability. Sustainability. 12(14), 5528. doi: 10.3390/su12145528.
Muangmee, C., Kot, S., Meekaewkunchorn, N., Kassakorn, N., & Khalid, B. (2021). Factors Determining the Behavioural Intention of Using Food Delivery Apps during COVID-19 Pandemics. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1297-1310. doi:10.3390/jtaer16050073
Okumus, B., Ali, F., Bilgihan, A., and Ozturk, A.B. (2018). Psychological Factors Influencing Customers’ Acceptance of Smartphone Diet Apps When Ordering Food at Restaurants. International Journal of Hospitality Management. 72, 67-77, doi: 10.1016/j.ijhm.2018. 01.001.
Putit, L., Muhammad, N. S., & Abd. Aziz Z. D. (Eds.). (2016). Retailing; Non-Store Retailing. 30-37.
Rahman, N. A. A., Hassan, A., & Mohammad, M. F. (Eds.). (2020). Halal Logistics and Supply Chain Management in Southeast Asia. Routledge
Rahim, N. M., & Yunus, N. F. A. M. (2021). Consumers satisfaction towards e-Hailing food delivery services during Movement Control Order period: A case study in Selangor. 9(Special Issue),1-9. https://scholar.google.com.my/citations?view_op=view_citation&hl=en&user=Xbwuy9YAAAAJ&citation_for_view=Xbwuy9YAAAAJ:YsMSGLbcyi4C
Ramos, K. (2021). Factors influencing customers’ continuance usage intention of food delivery apps during COVID-19 quarantine in Mexico. British Food Journal. 124(3),833-852. https://doi.org/10.1108\/BFJ-01-2021-0020
Rodgers, R. F., Lombardo, C., Cerolini, S., Franko, D. L., Omori, M., Fuller?Tyszkiewicz, M., Linardon, J., Courtet, P., & Guillaume, S. (2020). The impact of the COVID ?19 pandemic on eating disorder risk and symptoms. International Journal of Eating Disorders. 53(7), 1166–1170. https://doi.org/10.1002/eat.23318
Roh, M., & Park, K. (2019). Adoption of O2O food delivery services in South Korea: The moderating role of moral obligation in meal preparation. International Journal of Information Management. 47, 262–273.
https://doi.org/10.1016/j.ijinfomgt.2018.09.017
Sair, S. A., & Danish, R. Q. (2018). Effect of performance expectancy and effort expectancy on the mobile commerce adoption intention through personal innovativeness among Pakistani consumers. Pakistan Journal of Commerce and Social Sciences. 12(2), 501–520. https://doi.org/http://hdl.handle.net/10419/188355
Sharma, A., Folster-Holst, R., Kassir, M., Szepietowski, J., Lotti, T., & Goldust, M. (2020). The effect of quarantine and isolation for COVID-19 in general population and dermatologic treatments. Dermatologic Therapy. doi:10.1111/dth.13398
Tandon, A., Kaur, P., Bhatt, Y., Mantymaki, M., & Dhir, A. (2021). Why do people purchase from food delivery apps? A consumer value perspective. Journal of Retailing and Consumer Services. 63. 102667. doi: 10.1016/j.jretconser.2021.102667
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly. 27(3),425–478. doi:10.2307/30036540
Venkatesh, V., Thong, J. Y. L., Chan, F. K. Y., Hu, P. J. H., & Brown, S. A. (2011). Extending the two-stage information systems continuance model: incorporating UTAUT predictors and the role of context. 21(6), 527–555. doi:10.1111/j.1365-2575.2011.00373.
Wei, M.-F., Luh, Y.-H., Huang, Y.-H., & Chang, Y.-C. (2021). Young Generation’s Mobile Payment Adoption Behaviour: Analysis Based on an Extended UTAUT Model. Journal of Theoretical and Applied Electronic Commerce Research. 16(4), 618–636. doi:10.3390/jtaer16040037
WHO. (2022). Food and nutrition tips during self-quarantine. https://www.euro.who.int/en/health-topics/health-emergencies/coronavirus-covid-19/publications-and-technical-guidance/food-and-nutrition-tips-during-self-quarantine
Yuan, S., Liu, Y., Yao, R., & Liu, J. (2014). An investigation of users’ continuance intention towards mobile banking in China. Information Development. 32(1), 20–34. https://doi.org/10.1177/0266666914522140
Zhao, Y., and 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, doi: 10.1016/j.ijhm.2020.102683.
Zhou, T., & Li, H. (2014). Understanding mobile SNS continuance usage in China from the perspectives of social influence and privacy concern. Computers in Human Behaviour. 37, 283–289. https://doi.org/10.1016/j.chb.2014.05.008
Zhong, Y., Oh, S., & Moon, H. C. (2021). What Can Drive Consumers’ Dining-Out Behaviour in China and Korea during the COVID-19 Pandemic? Sustainability. 13(4), 1-17. https://doi.org/10.3390/su13041724
