Post-COVID Consumer Behavior Shifts in the Online Food Delivery Service Sector in Malaysia

Teow Boon Keong, Yee Jing Foo, Meenu Baliyan, Yip Chi Fong, Yeap Yong Ying, Yap Si Ning, Vaishnavi V, Ye Zuo Tai, Daisy Mui Hung Kee

Abstract


The COVID-19 pandemic has accelerated the adoption of digital services, particularly online food delivery platforms, leading to notable changes in consumer behavior. This study aims to examine post-COVID shifts in consumer behavior in the food delivery sector by focusing on GrabFood users in Malaysia and to identify the key factors driving these changes. A quantitative approach was used, collecting survey data from 150 users and applying multiple regression analysis to examine the effects of health and safety concerns, convenience, price sensitivity and promotion, ease of use, and service quality on post-pandemic consumer behavior. The results indicate a significant increase in both usage frequency and spending on GrabFood after the pandemic. Price sensitivity and promotion exert the strongest influence on consumer behavior (? = 0.424, p < 0.001), followed by health and safety concerns (? = 0.418, p < 0.001) and perceived convenience (? = 0.217, p < 0.01). In contrast, perceived ease of use and enhanced service quality show weaker yet significant effects. The findings suggest that consumer behavior changes initiated during the pandemic have become enduring patterns. Practically, the study provides insights for platform operators to prioritize competitive pricing, promotional strategies, and safety assurance to sustain user engagement and loyalty.

Keywords


Consumer Behaviour; COVID-19; Digital Services; Food Delivery; GrabFood; User Volume

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References


Abdullah-Al-Mamun, M. K. R., & Robel, S. D. (2014). A critical review of consumers’ sensitivity to price: Managerial and theoretical issues. Journal of International Business and Economics, 2(2), 1-9.

Acumen Research and Consulting. (2025, March 13). Malaysia Online Food Delivery Market Size to Reach USD 6.1 Billion by 2032 growing at 9.5% CAGR - Exclusive Report by Acumen Research and Consulting. Acumen Research and Consulting. https://www.acumenresearchandconsulting.com/press-releases/malaysia-online-food-delivery-market

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

Alden, S. M., Rosshahpudin, N. S., Tarmazi, S. A. A., Sulaiman, S., & Ali, N. M. (2023). Food delivery service: The effects of perceived quality, perceived ease of use and perceived value towards customer satisfaction. Journal of Tourism, Hospitality and Environment Management, 8(32), 88-98. https://doi.org/10.35631/jthem.832007

Berry, L. L., Seiders, K., & Grewal, D. (2002). Understanding service convenience. Journal of Marketing, 66(3), 1-17. https://doi.org/10.1509/jmkg.66.3.1.18505

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Dsouza, D., & Sharma, D. (2021). Online food delivery portals during COVID-19 times: An analysis of changing consumer behavior and expectations. International Journal of Innovation Science, 13(2), 218-232. https://doi.org/10.1108/ijis-10-2020-0184

Fernandez, H. (2021, November 1). 87% of consumers will keep ordering food online: Grab report. The Vibes. https://www.thevibes.com/articles/lifestyles/46147/87-of-consumers-will-keep-ordering-food-online-grab-report

Gavilan, D., Balderas-Cejudo, A., Fernández-Lores, S., & Martinez-Navarro, G. (2021). Innovation in online food delivery: Learnings from COVID-19. International Journal of Gastronomy and Food Science, 24, 100330. https://doi.org/10.1016/j.ijgfs.2021.100330

Gefen, D., & Straub, D. W. (2000). The relative importance of perceived ease of use in IS adoption: A study of e-commerce adoption. Journal of the Association for Information Systems, 1(1), 8. https://doi.org/10.17705/1jais.00008

GrabMy. (2023, June 14). GrabFood Malaysia’s Nationwide Expansion Cements No.1 Food Delivery Position. Grab MY. https://www.grab.com/my/press/others/grabfood-malaysia-no-1-food-delivery/

Hesham, F., Riadh, H., & Sihem, N. K. (2021). What have we learned about the effects of the COVID-19 pandemic on consumer behavior?. Sustainability, 13(8), 4304. https://doi.org/10.3390/su13084304

Kee, D. M. H., Rusdi, S. A. M., Mokhtar, S. S., Ridzuan, S. A. M., & Abdullah, S. A. A. (2021a). How Grab becomes one of the greatest start-ups in South-East Asia. International Journal of Tourism and Hospitality in Asia Pasific, 4(1), 73–81. https://doi.org/10.32535/ijthap.v4i1.1023

Kee, D. M. H., Toh, A. L., Chong, J. H., Teng, Y. M., Ooi, S. J. C., & Chong, R. X. J. (2021b). The impact of Covid-19 on McDonald’s business: A case study of Malaysia. International Journal of Accounting & Finance in Asia Pasific, 4(2), 46–57. https://doi.org/10.32535/ijafap.v4i2.1114

Khayru, R. K. (2021). Opinions about consumer behavior during the COVID-19 pandemic. Journal of Social Science Studies (JOS3), 1(1), 31–36. https://doi.org/10.56348/jos3.v1i1.6

Koay, K. Y., Cheah, C. W., & Chang, Y. X. (2022). A model of online food delivery service quality, customer satisfaction and customer loyalty: A combination of PLS-SEM and NCA approaches. British Food Journal, 124(12), 4516–4532. https://doi.org/10.1108/BFJ-10-2021-1169

Li, Y., Yao, P., Osman, S., Zainudin, N., & Sabri, M. F. (2022). A thematic review on using food delivery services during the pandemic: Insights for the Post-COVID-19 era. International Journal of Environmental Research and Public Health, 19(22), 15267. https://doi.org/10.3390/ijerph192215267

Murugan, V. (2021). Digitalization and consumers’ behavior attitudes with special reference to online purchase in Tiruvarur, India. Research Journey, 27(1), 28-40.

Parasuraman, A. B. L. L., Zeithaml, V. A., & Berry, L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. In Findlay, A. M. (Ed.), Retailing: Critical Concepts. 3,2. Retail practices and operations, Volumes 2-3 (pp. 140-161). Taylor & Francis.

Said, M., Tahlyan, D., Stathopoulos, A., Mahmassani, H., Walker, J., & Shaheen, S. (2023). In-person, pick up or delivery? Evolving patterns of household spending behavior through the early reopening phase of the COVID-19 pandemic. Travel Behaviour and Society, 31, 295-311. https://doi.org/10.1016/j.tbs.2023.01.003

Sarbhai, A., & Khare, V. (2023). Post pandemic shift of consumer behavior & cloud kitchen. International Journal for Research in Applied Science & Engineering Technology, 11. https://doi.org/10.22214/ijraset.2023.55044

Shankar, A., Jebarajakirthy, C., Nayal, P., Maseeh, H. I., Kumar, A., & Sivapalan, A. (2022). Online food delivery: A systematic synthesis of literature and a framework development. International Journal of Hospitality Management, 104, 103240. https://doi.org/10.1016/j.ijhm.2022.103240

Svajdova, L. (2021). Consumer behaviour during pandemic of COVID-19. Journal of International Business Research and Marketing, 6(3), 34–37. https://doi.org/10.18775/jibrm.1849-8558.2015.63.3005

Tan, M.-Z., Koay, Y.-Y., Yap, C.-P., Chan, L.-M., & Chelliah, T. D. (2024). Post-COVID-19 continuance of online food delivery services: Case study on determinants of millennials’ usage in Malaysia. International Journal of Research and Innovation in Social Science, VIII(XIX), 22–39. https://doi.org/10.47772/ijriss.2024.icame2403

Tan, S. Y., Lim, S. Y., & Yeo, S. F. (2024). Online food delivery services: Cross-sectional study of consumers’ attitude in Malaysia during and after the COVID-19 pandemic. F1000Research, 10(972), 972. https://doi.org/10.12688/f1000research.73014.2

Tan, W. U., Tan, X. E., Tan, Y. C., Tan, W. Q., & Almutairi, R. (2022). Intention to use GrabFood during the Covid-19 pandemic. International Journal of Tourism and Hospitality in Asia Pasific, 5(2), 87–98. https://doi.org/10.32535/ijthap.v5i2.1585

Tandon, U., Kiran, R., & Sah, A. N. (2016). Analysing the complexities of website functionality, perceived ease of use and perceived usefulness on customer satisfaction of online shoppers in India. International Journal of Electronic Marketing and Retailing, 7(2), 115-140. https://doi.org/10.1504/ijemr.2016.077118

Tien, N. H., Ngoc, N. M., & Anh, D. B. H. (2021). Change of consumer behavior in the post Covid-19 period. Change, 2(1), 53-58.

Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315. https://doi.org/10.1111/j.1540-5915.2008.00192.x




DOI: https://doi.org/10.32535/jcda.v9i1.4344

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