Willingness to use online food delivery platforms: Before and during COVID-19

Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research and CRM ; Background: Since a quarantine was implemented to prevent the spread of COVID-19, online food delivery companies such as UberEats, MeiTuan, and others have garnered more attention. Given the paucity of studies on the willingness and barriers to using online food delivery in general, the current study evaluated the period prior to and during the pandemic using a quantitative manner. Purpose: To begin, this research identifies the aspects of food delivery services people appreciate most, in addition to convenience and cost savings. Second, sanitary concerns, fear of COVID-19, and social isolation concerns were identified as the primary obstacles to service use. Design & Approach: The methodology of this paper is through a designed questionnaire to investigate the motivation of using online-delivery food platforms, followed by the statistical analysis methods to determine the real effects. Afterward, the dissertation implemented descriptions Statistics, sample test, One-way Anova, and frequency distribution to identify the hypothesizes whether they will be supported regarding the requesting, the last step is to conduct the resulting insight from the data. Findings: Most people who have been researched agree that food orders increase due to fear and social isolation during the COVID-19 period, indicating that the hypothesis is valid. The projected beneficial effect of hygienic issues does not materialize, and there is no statistically significant change in hygiene issues associated with online food delivery before and after the pandemic. The data show the attitude of persons with various incomes to pay more for delivery fees is not statistically significant. The results confirmed that users are younger people who are either employed or self-employed. With the emergence of COVID-19, young people's ordering patterns indicate a greater likelihood ...