Impacts of Delivery Charge on the Possibility of Consumers Using Online Food Delivery

Yongzhong Wu, Yikuan Lu and Simin Huang
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Yongzhong Wu: School of Business Administration, South China University of Technology, 381 Wushan Road, Guangzhou 510641, China
Yikuan Lu: School of Business Administration, South China University of Technology, 381 Wushan Road, Guangzhou 510641, China
Simin Huang: School of Business Administration, South China University of Technology, 381 Wushan Road, Guangzhou 510641, China

Sustainability, 2022, vol. 14, issue 3, 1-21

Abstract: With the maturity of the online food delivery (OFD) industry in China, the growth of the market in recent years is mainly driven by the increase of the usage frequency of existing users rather than the number of new users. The usage frequency of users is affected by various factors, with the delivery charge as one of the most significant ones. The purpose of this study is to examine the impact of delivery charge and other factors on the probability of consumers choosing to use OFD service. In this study, 391 questionnaire records from China were collected, based on which a logistic regression model was established. The results of the model show that age, occupation, monthly income, city tier of residence, location and time period of usage, and delivery charges all play a role on the probability of consumers using the service, and the delivery charge has the greatest impact. For every one yuan increase in the delivery charge, consumers will be less likely to choose “certainly” of using OFD (OR: 0.435; 95% CI: 0.415, 0.455). Sensitivity analysis shows that when the delivery charge changes between 2~5 yuan, it has the greatest impact on the probability of consumers using the service. The analysis further shows that delivery charge has different impacts under different scenarios composed of three key factors, i.e., the city tier of residence, locations of usage, and time period of usage. From a management perspective, these findings help to understand the behavior of OFD consumers and provide insights for the OFD operators to establish best pricing strategies for long-term economic sustainability.

Keywords: online food delivery; consumer behavior; delivery charge; logistic regression model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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