Factors Influencing Customers' Online Shopping Behavior in Malaysia During the COVID-19 Pandemic

The article presents an overview of the arguments and rebuttals made in the scientific discourse regarding Malaysia's expanding online shopping trend, particularly in light of the COVID-19 epidemic. This scientific decision is significant since the widespread usage of COVID-19 has altered consumer purchasing behavior and how firms operate globally by reducing potential risks such as making the wrong purchase or falling prey to online fraud. This study aims to determine the impact of perceived risk, trust, and product diversity on consumers' decisions to purchase things online in Malaysia's Klang Valley. The study utilized a quantitative survey methodology, selecting 327 sample sizes from a targeted demographic of online shoppers using Krejcie and Morgan tables. SPSS was used for descriptive and inferential analyses. The study found that product variety, trust, and perceived risk significantly predict consumers' online buying behavior in Malaysia during the COVID-19 pandemic. Trust and product variety moderately influence online purchasing, while perceived risk has a negative impact. In contrast to perceived risk (standardized coefficient = -.252), which has a negative and moderate impact, the results indicate that product variety (standardized coefficient =.571) and trust (standardized coefficient =.461) have an average influence on customers' online purchase behaviors. The study supports all hypotheses (H1, H2, and H3), indicating that trust, perceived risk, and product variety significantly influence consumers' online purchasing behaviors in Malaysia during the COVID-19 pandemic. The study emphasizes the need for a comprehensive understanding of online consumer factors and their implications for e-commerce vendors, suggesting the inclusion of marketing professionals in marketing strategy formulation. Received: 25 July 2024 | Revised: 18 September 2024 | Accepted: 8 October 2024 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement The data that support this work are available upon reasonable request to the corresponding author. Author Contribution Statement Rahiya Binti Kunji Moidin Kutty: Conceptualization, Methodology, Software, Formal analysis, Investigation, Resources, Data curation, Writing-Original Draft, Funding acquisition. Hemaloshinee Vasudevan: Software, Validation, Formal analysis, Resources, Data curation, Writing-Original Draft, Writing-Review & Editing, Visualization, Supervision, Project administration. Imran Aslan: Validation, Writing-Original Draft, Writing-Review & Editing.