Modelling customers' satisfaction towards online shopping using multiple linear regression / Shamsunarnie Mohamed Zukri …[et al.]

Mohamed Zukri, Shamsunarnie and Mohd Fauzi, Noor Zafarina and Ibrahim, Nur Safwati and Azizan, Nurul Hafizah and Ibrahim, Nurul Bariyah and Hamzah, Nor Hazreeni (2023) Modelling customers' satisfaction towards online shopping using multiple linear regression / Shamsunarnie Mohamed Zukri …[et al.]. Journal of Mathematics and Computing Science, 9 (2): 9. pp. 18-26. ISSN 0128-0767


Online shopping can be defined as the process a customer takes to purchase a service or product over the internet. Online shopping is the easy solution for busy life in today's world. With the advancement of technology and the huge role of the internet, online shopping has been fulfilling customers' and businesses' needs. In Malaysia, online shopping has begun to grow, thus, it is essential to embrace issues that influence customers' satisfaction. The purpose of this study is to determine factors affecting customers' satisfaction towards online shopping. A cross-sectional design was used in this study conducted among Universiti Teknologi MARA Cawangan Kelantan, Kampus Kota Bharu (UiTMKB) students. A sample size of 336 students from Part 2 to Part 6 studying in semester October 2020 to February 2021 was obtained using Proportionate Stratified Random Sampling technique. A self-administered questionnaire was used to collect the data through Google Forms questionnaire. Pearson Correlation and Multiple Linear Regression was used as data analyses. There was a significant positive moderate linear association between independent variables (product and service quality, system security and delivery service) and customer satisfaction. Results indicate that the factors that affect customers' satisfaction towards online shopping were product and service quality and delivery service. It is recommended, in order to obtain a more precise result, that this sn1dy be carried out with larger respondents and different demographics. It is also recommended to include other variables. Improvement actions need to be planned, especially by online sellers, on the quality of products and services as well as delivery services for online purchases to satisfy customer satisfaction.


Item Type: Article
Email / ID Num.
Mohamed Zukri, Shamsunarnie
Mohd Fauzi, Noor Zafarina
Ibrahim, Nur Safwati
Azizan, Nurul Hafizah
Ibrahim, Nurul Bariyah
Hamzah, Nor Hazreeni
Subjects: H Social Sciences > HF Commerce > Consumer satisfaction
Q Science > QA Mathematics > Mathematical statistics. Probabilities > Data processing
Q Science > QA Mathematics > Multivariate analysis. Cluster analysis. Longitudinal method > Regression analysis. Correlation analysis. Spatial analysis (Statistics)
Divisions: Universiti Teknologi MARA, Kelantan > Machang Campus > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Journal of Mathematics and Computing Science
UiTM Journal Collections: UiTM Journal > Journal of Mathematics and Computing Science (JMCS)
ISSN: 0128-0767
Volume: 9
Number: 2
Page Range: pp. 18-26
Keywords: Customer satisfaction, Delivery service, Online shopping, Product and service quality, System security
Date: December 2023
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