Continuous Intention to Use Technology of Online Food Delivery Services Among Young Adults

Abstract

Online food delivery services have experienced tremendous growth in the food industry. Food delivery apps had gathered this opportunity adjusting to restaurant and food delivery services as an alternative to increasing income and for customers to remotely order their foods. This study aims to determine the relationship between information quality, performance expectancy, effort expectancy and social influence with continuous use intention of food delivery apps from Malaysian young adults’ context. In this study, a total of 300 sets of questionnaires were successfully collected. The data was interpreted using SPSS Version 25. At the end of the study, it was found that the results of the analysis to be a positive relationship between information quality, performance expectancy and social influence with continuous use intention of food delivery apps among young adults. This study also revealed that social influence as the most influential factor affecting continuous use intention of food delivery apps.

MOOC Design Phase: Nominal Group Technique in Determining the MOOC Elements Using Relative Importance Index (RII)

“…The closer the value to 1, the greater internal consistency of the element in the scale. The alpha coefficient is 0.847 bring the meaning that the element of the instrument having the high internal consistency; with the reliability value of the items were above the suggested which is more than 0.70 Ariffin et al, 2021).…”

Continued Use of Food Delivery Applications (FDAs) Post COVID-19 in Malaysia: Barriers and growth

“…Various food suppliers offer their services through FDAs in Malaysia, and some examples are Food Panda, Dahmakan, DeliverEat and GrabFood. These food delivery services are mainly concentrated in Kuala Lumpur, Klang Valley, Penang and Johor Bahru (Ariffin et al, 2021). It is reported that 81% of customers in Malaysia used Foodpanda as their FDA of choice in 2021, followed by GrabFood as their second choice at 70%.…”

Consumers' intention to use online food delivery services: A meta‐analytic structural equation modeling approach

“…The very few studies that have examined this subject overlooked crucial linkages, resulting in fragmented or inconclusive outcomes and relationships among variables, thus limiting the understanding of the phenomenon. Previous research, for example, has explored the interconnections among information quality, service quality, and system quality continuance intention (Ariffin et al, 2021; Lee et al, 2017; Wang et al, 2021). Meanwhile, many studies have examined the effects of dimensions of food delivery apps' quality on overall service quality and continuance intention (Cho et al, 2019; Choi, 2020; Zhuang et al, 2021).…”