Factors Affecting Customer's Behavioral Intention to Use Online Food Delivery Services (OFDS)
This study is conducted to investigate the factors determining the behavioral intention of using online food delivery services (OFDS) after the COVID-19 pandemic in Malaysia (perceived ease of use, price value, performance expectancy, and food safety risk perception). This study aims to determine the future intent to use online food delivery services after the COVID-19 pandemic in Malaysia. A total of 450 people involved during the online survey via the Google Form platform. Descriptive analysis and Pearson correlation analysis are used in this study. For the research findings, this study concludes that the perceived ease of use, price value, performance expectancy, and food safety risk perception have a significant relationship towards behavioral intention to use OFDS. All the result findings are being shown in this report.
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
Bhatia, G., Dutta, P. K., & McClure, J. (2021, June 22). Malaysia: The latest coronavirus counts, charts, and maps. Reuters. https://graphics.reuters.com/world-coronavirus tracker-and- maps/countries-and-territories/Malaysia
Chai, L. T., & Yat, D. N. C. (2019). Online food delivery services: Making food delivery the new normal. Journal of Marketing Advances and Practices, 1(1), 62-77.
Daleen, A. (2018). The food delivery battle has just begun in Malaysia. EC Insider. Retrieved February 1st, 2018, from https://www.ecinsider.my/2018/02/food-delivery-companies-malaysia. html
Fairlie, R. (2020). The impact of COVID‐19 on small business owners: Evidence from the first three months after widespread social‐distancing restrictions. Journal of Economics & Management Strategy, 29(4), 727-740. https://doi.org/10.1111/jems.12400
Frewer, L., de Jonge, J., & van Kleef, E. (2007). Consumer perceptions of food safety. Medical Sciences (pp. 1-22). Encyclopedia of Life Support Systems (EOLSS) Publishers.
Hung, M., Yang, S., & Hsieh, T. (2012). An examination of the determinants of mobile shopping continuance. International Journal of Electronic Business Management, 10 (1), 29-37.
Li, C., Mirosa, M., & Bremer, P. (2020). Review of online food delivery platforms and their impacts on sustainability. Sustainability, 12(14), 5528. https://doi.org/10.3390/su12145528
Liu, P., & Lee, Y. M. (2018). An investigation of consumers’ perception of food safety in the restaurants. International Journal of Hospitality Management, 73, 29–35. https://doi.org/10.1016/j.ijhm.2018.01.018
Maimaiti, M., Zhao, X., Jia, M. et al. (2018). How we eat determines what we become: opportunities and challenges brought by food delivery industry in a changing world in China. European Journal of Clinical Nutrition, 72, 1282–1286. https://doi.org/10.1038/s41430-018-0191-1
Nagle, T.T., & Holden, R. K. (1995). The Strategy and Tactics of Pricing: A Guide of Profitable Decision Making (2nd Edition). Prentice-Hall.
Norris, C.L., Taylor Jr, S. & Taylor, D.C. (2021). Pivot! How the restaurant industry adapted during COVID-19 restrictions. International Hospitality Review, 35(2), 132-155. https://doi.org/10.1108/IHR-09-2020-0052
Ramayah, T., & J. Ignatius. (2005). Impact of Perceived Usefulness, Perceived Ease of Use and Perceive Enjoyment on Intention to Shop Online. ICFAI Journal of Systems Management, 3(3), 36-51.
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.
Yeo, V.C.S., Goh, S.K., & Rezaei, S. (2017). Consumer experiences, attitude and bahavioral intention toward online food delivery services. Journal of Retailing and Consumer Services, 35, 150-162. https://doi.org/10.1016/j.jretconser.2016.12.013