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Using Mobile Food Delivery Applications during the COVID-19 Pandemic: Applying the Theory of Planned Behavior to Examine Continuance Behavior

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  • Van Dat Tran

    (Department of Marketing, Banking University, Ho Chi Minh 70000, Vietnam)

Abstract

COVID-19 has opened up a significant market for food delivery services in Vietnam. Based on the theory of planned behavior, subjective norms and social isolation were hypothesized to have a positive impact on behavior intention and continuance behavior. The study also aimed to determine the positive impacts of perceived food safety, food delivery, and behavioral intention on continuance behavior, while the perception of food safety and food delivery were also proposed to have direct impacts on behavioral intention. Structured equation modeling was used to evaluate data obtained from 299 respondents who were experienced in using delivery apps for ordering food. As a result, this study contributes to prior findings regarding the positive effects of the subject norm—social isolation, food delivery hygiene, perceived food safety—on behavioral intention to use mobile apps. Additionally, customers’ continued usage behavior was found to be also influenced by behavioral intention, perceived food safety, and food delivery hygiene. It was concluded that these findings have significant theoretical and practical implications. This study adds to the existing debate on consumer behavior in the context of online food delivery in Vietnam and sheds light on the elements that could be used to forecast people’s willingness to buy food through food delivery apps, and for how long they would continue to use them.

Suggested Citation

  • Van Dat Tran, 2021. "Using Mobile Food Delivery Applications during the COVID-19 Pandemic: Applying the Theory of Planned Behavior to Examine Continuance Behavior," Sustainability, MDPI, vol. 13(21), pages 1-20, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:12066-:d:669894
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    References listed on IDEAS

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    1. Hadiqa Riaz & Vida Davidaviciene & Hassaan Ahmed & Ieva Meidute-Kavaliauskiene, 2022. "Optimizing Customer Repurchase Intention through Cognitive and Affective Experience: An Insight of Food Delivery Applications," Sustainability, MDPI, vol. 14(19), pages 1-22, October.
    2. Gibson, Samantha & Hsu, Maxwell K. & Zhou, Xing, 2022. "Convenience stores in the digital age: A focus on the customer experience and revisit intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    3. Meena, Purushottam & Kumar, Gopal, 2022. "Online food delivery companies' performance and consumers expectations during Covid-19: An investigation using machine learning approach," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    4. Su-Chen(Cecilia) Lin & Mei-Chen Chuang & Chen-Yuan Huang & Chia-En Liu, 2023. "Nursing Staff’s Behavior Intention to Use Mobile Technology: An Exploratory Study Employing the UTAUT 2 Model," SAGE Open, , vol. 13(4), pages 21582440231, November.
    5. Sigitas Urbonavicius & Karina Adomaviciute – Sakalauske, 2023. "Learning from Pandemic Periods: Elements of the Theory of Behavioral Transformation," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 35(2), pages 251-266.
    6. Shiu-Li Huang & Huei-Ru Siao, 2023. "Factors Affecting the Implementation of Online Food Delivery and Its Impact on Restaurant Performance during the COVID-19 Pandemic," Sustainability, MDPI, vol. 15(16), pages 1-21, August.

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