Customer Intention on The Usage of Online Food Delivery Application in Klang Valley, Malaysia

Online food delivery applications (OFDA) allow customers to purchase meals online and delivered to their doors. These services have grown rapidly in Malaysia, aligning with consumer demands. This study aims to determine factors influencing customer intention to use OFDAs in Klang Valley, examine the relationships between social influence, price-saving orientation, information quality, and time-saving orientation, and identify the most popular OFDAs among customers. An online survey was distributed via Google Forms to 384 residents of Klang Valley, including Putrajaya, Kuala Lumpur, Gombak, Hulu Langat, Petaling Jaya, Klang, and Sepang. Respondents ranged from 18 to 55 years and above, with the survey targeting both experienced users and potential new users of OFDAs. Data analyses were conducted using SPSS, including descriptive, correlation, and regression analyses. The results showed that all variables (social influence, information quality, price-saving orientation, and time-saving orientation) were statistically significant and positively correlated. Information quality emerged as the most influential factor, providing accurate information on food, charges, and delivery times. The findings of this research can help food service and restaurant owners improve their operations and remain competitive by understanding the key factors that drive customer intentions to use OFDAs in Klang Valley.

Publication Details

Journal
Asian Journal of Research in Education and Social Sciences
Published
2024-08-31
DOI
https://doi.org/10.55057/ajress.2024.6.s1.6
Primary Topic
Health, Technology, Consumer Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Customer Intention on The Usage of Online Food Delivery Application in Klang Valley, Malaysia

Asian Journal of Research in Education and Social Sciences
Health, Technology, Consumer Behavior
article

Customer Intention on The Usage of Online Food Delivery Application in Klang Valley, Malaysia

article en

Abstract

Online food delivery applications (OFDA) allow customers to purchase meals online and delivered to their doors. These services have grown rapidly in Malaysia, aligning with consumer demands. This study aims to determine factors influencing customer intention to use OFDAs in Klang Valley, examine the relationships between social influence, price-saving orientation, information quality, and time-saving orientation, and identify the most popular OFDAs among customers. An online survey was distributed via Google Forms to 384 residents of Klang Valley, including Putrajaya, Kuala Lumpur, Gombak, Hulu Langat, Petaling Jaya, Klang, and Sepang. Respondents ranged from 18 to 55 years and above, with the survey targeting both experienced users and potential new users of OFDAs. Data analyses were conducted using SPSS, including descriptive, correlation, and regression analyses. The results showed that all variables (social influence, information quality, price-saving orientation, and time-saving orientation) were statistically significant and positively correlated. Information quality emerged as the most influential factor, providing accurate information on food, charges, and delivery times. The findings of this research can help food service and restaurant owners improve their operations and remain competitive by understanding the key factors that drive customer intentions to use OFDAs in Klang Valley.

Asian Journal of Research in Education and Social Sciences
Zero hunger
Openalex Percentile: Top 82%
Health, Technology, Consumer Behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.