Customers' Use Behavior Of Online Food Delivery Applications: A Modified Model Of Utaut2 With The Moderating Effect Of Perceived Risk
Abstract
For the past 5 years, the online food delivery services have seen significant growth with the
increasing number of platform-to-service users. Given the severe consequences of Covid-19
pandemic, online food delivery applications (OFDA) are expected to have long lasting effect even
if the world returns to its normality and cool off the present surge in demand. Thus, it is crucial to
research on the customer behavior in an effort to develop customer-oriented food delivery
applications.
This study empirically analyzes the factors that have influenced the behavioral intention and
intention to use online food delivery applications, under a case study of Ho Chi Minh city, Vietnam.
By utilizing an extended model adopting Unified Theory of Acceptance and Use of Technology 2
(UTAUT2), the study aims to examine the determinants constructed on customer usage intention
and behavior, considering facilitating condition, performance expectancy, effort expectancy and
usage habit with the moderating effect of perceived risk. The target population of the study is
among OFDA users from 18 to 50 years old living in Ho Chi Minh city. The proposed sample size
in accordance with the research is 265. With quantitative method, valid data were analyzed using
Partial Least Square – Structural Equation Modelling (PLS-SEM) approach.
The research findings show significant influences of Facilitating Conditions and Behavioral
Intention to Use Behavior; Performance Expectancy and Habit to Behavioral Intention;
significantly negative effect of Perceived Risks to the relationship between Performance
Expectancy and Behavioral Intention. Based on the research findings, this study implies several
suggestions to help improve the level of use intention of OFDA customers as well as to help further
relating studies improve the quality of output results.