Track: Case Studies

Abstract

In today’s society, everyone is surrounded by online food deliveries, which aim to increase people’s productivity by providing convenient services. Retailing is a method of supplying products or services to a manufacturer and selling them for sale to customers. Face-to-face contact is replaced in online retail sales by contact through internet-based networking platforms such as email, chat, and SMS or company websites where consumers can search, download, and place orders. In this study, the researchers focused on establishing the factors affecting the performances of online food deliveries among GrabFood, Foodpanda, and Zomato Ph. It aims to assess the current online food delivery system, identify significant factors affecting online food delivery time and efficiency, and recommend ways to improve the current online food delivery system. The data were collected through an online survey questionnaire, and a total of 200 respondents were analyzed using a statistical tool and analytical tool such as Descriptive statistics, SWOT analysis, ANOVA test, Correlation analysis, Multiple regression analysis, risk assessment, and benchmarking. The findings revealed that the delivery factor is the most crucial factor in an online food delivery application followed by process and interface. The result also shows that most respondents use more than one online food delivery application. The researchers have identified the significant relationships among the demographics, the subfactors of interface, process, and delivery using correlation analysis. The researchers have concluded that the delivery’s subfactors have the most significant factors that could affect online food delivery companies, and the least is the subfactors of the interface.