FOOD DELIVERY SERVICE APPLICATION DURING PANDEMIC COVID-19
Keywords:Consumer behaviour, food delivery, food delivery application, service innovation, pandemic Covid-19
Online food deliveries are third-party tools that facilitate for online purchase and delivery, present an alternate way of ordering that looks to be gaining traction. This study will examine consumer acceptance behaviour towards food delivery application (FDA) during pandemic COVID-19 and the factor that lead them to accept or reject of using FDA. This study also will identify food delivery service applications that usually consumer use. This study will focus on Northern Malaysia, Kulim area which is covering the rural and urban areas. In order to achieve this study, the researcher has used a qualitative method which is data collected through semi-structured interviews. The result shows that there are four factors that contribute to the acceptance and rejection of online food delivery applications which is time, quality, safety, and price. Furthermore, there are four respondents that accept and one respondent rejects using FDA. The most favorite application that consumers use is Food Panda. The FDA helps many consumers during this pandemic season. Therefore, a variety of applications and service improvements are needed to provide customer satisfaction.
Bernama. (2020, October 5). World Halal Conference 2020 to Focus on Halal Industry Embracing The New World Economy. Petaling Jaya, Selangor, Malaysia.
Biswas, P. (2019, May 15). Unified Infotech. Retrieved from 8 Incredible Steps To Make Your Food Delivery App Like UberEats: https://www.unifiedinfotech.net/blog/how-to-make-a-food-delivery-app/
Chai, L. T., & Yat, D. N. (2019). Online Food Delivery Services: Making Food Delivery the New Normal. JMAP (Journal of Marketing Advances and Practices., 64-65.
Chen, J.-S. (2019). Service Delivery Innovation. Journal of Service Research, 36-55.
Goebel, P., Moeller, S., & Pibernik, R. (2012). Paying for convenience: Attractiveness and revenue potential of time‐based delivery services. International Journal of Physical Distribution & Logistics Management, 584-606.
Hooi, R., Leong, T., & Yee, L. (2021). Intention to Use Online Food Delivery Service in Malaysia among University Students. Conference on Management, Business, Innovation, Education and Social Science, 60-65.
Keeble, M., Adams, J., Sacks, G., Vandarlee, L., White, C., Hammond, D., & Burgoine, T. (2020). Use of Online Food Delivery Services to Order Food Prepared Away-From-Home and Associated Sociodemographic Characteristics: A Cross-Sectional, Multi-Country Analysis. International Journal of Environmental Research and Public Health, 1.
Khandasivam. (2017). Competition, demand, changing behaviour make food delivery the new normal. digital news asia.
Kim, G. J. (2011). A study on the effect of easiness to use the food service related application of smart phone on intentions of use : Focused on the mediation effect of familarity and usefulness. Korea Academic Society of Hotel Administration, 62-63.
Kuzmenko, V. V. (2020). Why do regions differ in vulnerability to COVID-19? Spatial nonlinear modeling of social and economic patterns. Econ. Sociol., 318-340.
Lawrence, J., Ring, J., & Douglas, T. (2001). Viewpoint: the decline and fall of Internet grocery retailers. Eemerald, 264-271.
Lee, S., Sung, H., & Jeon, H. (2019). Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality. MDPI.
Li, C., Mirosa, M., & Bremer, P. (2020). Review of Online Food Delivery Platforms and their. Sustainability, 2.
Li, F., & Zhang, J. (2018). Current consumption and problems of online food delivery of university students-A case study on students of Jiujiang college. J. Hubei Univ. Econ. (Humanit. Soc. Sci.), 40-42.
Maimaiti, M., Zhao, X., Jia, M., Ru, Y., & Zhu, S. (2018). How we eat determines what we become: opportunities and challenges brought by food delivery industry in changing world in China. European Journal of Clinical Nutrition, 2.
Marcellus, S. (2020). How the coronavirus outbreak is affecting your online food delivery. Yahoo! Finance.
Meyer, S. (2020). Understanding the COVID-19 Effect on Online Shopping Behavior. Bigcommerce.
Muangmee, C., Kot, S., Meekaewkunchorn, N., Kassakorn, N., & Khalid, B. (2021). Factors Determining the Behavioral Intention of Using Food. Theoratical and Applied Electronic Commerce Research, 1297–1310.
Nizar, N., & Abidin, S. (2021). Online Food Delivery Services: Make or Break the Halal Supply Chain? Journal of Food Pharmacautical Sciences, 378-388.
Pang, V. (2017). We Visited foodpanda Malaysia. Conclusion? We NEVER Want To Run A Food Delivery Startup. Vulcan Post.
Popkin, B., Adair, L., & Ng, S. (2012). Global nutrition transition and the pandemic of obesity in developing countries. Nutrition Reviews, 3-21.
Ramus, K. &. (2005). Online grocery retailing: what do consumers think. International Research, 335-352.
Sadiku, M. N., Musa, S. M., & Ashaolu, a. T. (2019, June). Food Industry: An Introduction. Retrieved from Researchgate: https://www.researchgate.net/publication/334123694_Food_Industry_An_Introduction
Scarborough, C., & Lindquist, J. (2002). E‐shopping in a multiple channel environment. Emerald, 333-350.
Statista. (2020, June 9). Online Food Delivery. Retrieved from Statista: https://www.statista.com/outlook/374/117/online-food-delivery/china
Sureshchandar, G., Rajendran, C., & Anantharaman, R. (2002). The relationship between service quality and customer satisfaction- a factor specific approach. Journal of Services Marketing, 363-379.
Wedowati, E. R., Singgih, M. L., & Gunarta, a. I. (2018, March). Production System in Food Industry: A Literature Study. Retrieved from ResearchGate: https://www.researchgate.net/publication/324006313_Production_System_in_Food_Industry_A_Literature_Study
Yeo, V., Goh, S., & Rezaei, S. (2017). Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services. Elsevier, 150-162.
Yin, Y., & Hu, J. (2019). The analysis of the advantages and disadvantages of the online food delivery phenomenon in universities and the research on the countermeasures. Based on the empirical study of Jiangpu campus ofNanjing university of technology and its surroundings. Pop. Stand, 46-48.
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