Author

  • Nurul Ain Mustakim

    • Faculty of Business & Management, Universiti Teknologi MARA, Cawangan Melaka Kampus Bandaraya Melaka, Melaka, Malaysia
    • Malaysia

  • Zatul Himmah Abdul Karim

    • Faculty of Business & Management, Universiti Teknologi MARA, Cawangan Melaka Kampus Bandaraya Melaka, Melaka, Malaysia
    • Malaysia

  • Muna Kameelah Sauid

    • Faculty of Business & Management, Universiti Teknologi MARA, Cawangan Melaka Kampus Bandaraya Melaka, Melaka, Malaysia
    • Malaysia

  • Noorzalyla Mokhtar

    • Faculty of Business & Management, Universiti Teknologi MARA, Cawangan Melaka Kampus Bandaraya Melaka, Melaka, Malaysia
    • Malaysia

  • Zuhairah Hassan

    • Faculty of Business & Management, Universiti Teknologi MARA, Cawangan Melaka Kampus Bandaraya Melaka, Melaka, Malaysia
    • Malaysia

  • Nur Hazwani Mohamad Roseli

    • Faculty of Business & Management, Universiti Teknologi MARA, Cawangan Melaka Kampus Bandaraya Melaka, Melaka, Malaysia
    • Malaysia

Abstract

The purpose of this study is to investigate the gender differences of the Shopee platform for online shopping behavior by using the J48 decision tree algorithm to classify and predict shopping frequency among male and female consumers in the Malaysian context. WEKA software was used in this study to analyze the datasets. From the experiments, the majority of Shopee users were female consumers. The findings show that female consumer behavior is more complicated and more varied regarding purchasing behavior. The study's findings demonstrate the potential of gender-specific insights to enhance e-commerce strategies, particularly in product recommendations and targeted marketing. Although the J48 model performed well in predicting male shopping patterns, it was less effective for females, indicating the need for more advanced modeling techniques to better capture the complexities of female consumer behavior. This research also emphasizes the significance of using machine learning tools like the J48 decision tree to analyze consumer data, providing valuable insights for improving customer satisfaction and business performance. However, limitations such as sample size and the focus on a single platform suggest that further research is needed, including the exploration of alternative algorithms and broader demographic factors.

Keywords

References

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How to Cite

Mustakim, N. A., Abdul Karim, Z. H., Sauid, M. K., Mokhtar, N., Hassan, Z., & Mohamad Roseli, N. H. (2024). Gender-Based Analysis of Online Shopping Patterns on Shopee in Malaysia: A J48 Decision Tree Approach. Information Management and Business Review, 16(3(I)S), 844-854. https://doi.org/10.22610/imbr.v16i3(I)S.4116

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Copyright (c) 2024 Nurul Ain Mustakim, Zatul Himmah Abdul Karim, Muna Kameelah Sauid, Noorzalyla Mokhtar, Zuhairah Hassan, Nur Hazwani Mohamad Roseli (Author)

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Research Paper

Published in

Vol. 16 No. 3(I)S (2024) Supply Chain Sustainability, Smart HRM & Inclusive Education View issue contents

Published

2024-10-07

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