| Summary: | The number of individuals willing to make purchases of goods and services over the internet has steadily increased over the past several years. Additionally, as a result of the pandemic, it has reshaped consumer behavior, making people more hesitant to leave their homes to obtain the things they need. Therefore, the safest method for them is to shop online. Consequently, we need to assess and investigate the quality of Malaysian e-commerce that has the potential to influence a consumer's intention to make an online purchase. This research topic represents a limited investigation into how the standard of e-commerce in Malaysia may impact consumer preferences regarding online shopping. As a consequence of this, the primary goal of this research is to conduct in-depth studies and future research on how e-commerce quality influences customers' intentions to shift from traditional purchases to online ones. It is crucial to conduct further research and explore the intentions of Malaysians to gain a better understanding of customers' motives for making purchases. To obtain respondent samples for the study, researchers employed non-probability sampling strategies such as convenience sampling and snowball sampling. In this study, we also used social media to distribute 384 different sets of online questionnaires to random respondents for data collection purposes. Approximately 350 valid responses were collected from Malaysians who had made online purchases and were under the age of 40 using an online Google form. Subsequently, the Statistical Package for Social Science (SPSS) software was utilized to analyse the gathered data. In the final phase of this study, researchers will summarise and outline all findings from each test. They will then use multiple regression analysis to determine whether each variable (service quality, information quality, e-trust, and performance expectation) significantly affects online purchase intentions. © 2024, World Scientific and Engineering Academy and Society. All rights reserved.
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