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Online Platform Customer Shopping Repurchase Behavior Analysis

Author

Listed:
  • Chong Ji

    (College of Economics and Management, Shanghai University of Electric Power, Shanghai 200090, China)

  • Wenhui Zhao

    (College of Economics and Management, Shanghai University of Electric Power, Shanghai 200090, China)

  • Hui Wang

    (College of Economics and Management, Shanghai University of Electric Power, Shanghai 200090, China)

  • Puyu Yuan

    (College of Science, Shenyang Ligong University, Shenyang 110159, China)

Abstract

With the rapid development of the world economy and the progress of modern science and technology, e-commerce has gradually spread to the public. For the online shopping platform, the number of online stores has increased rapidly, especially so in recent years. Mastering the rules of customers’ shopping behavior will help the stores to stand out amidst such a fiercely competitive environment. Taking the cosmetics industry in online shopping as an example, this paper studies the purchase behavior of online platform customers. Through the analysis of order data, it is found that the number of customers’ repurchase times and the corresponding number of people conform to the law of power-law distribution. On this basis, the customer attributes of repurchase behavior are analyzed and demonstrated, and the influences of different factors, such as region, postage, and usage of clients, on the customer repurchase rate and the relationship between the number of orders and the number of days between repurchase are revealed. The analysis results can provide better sustainable operation decision support for online platform operators and improve the overall repurchase rate and benefits of stores.

Suggested Citation

  • Chong Ji & Wenhui Zhao & Hui Wang & Puyu Yuan, 2022. "Online Platform Customer Shopping Repurchase Behavior Analysis," Sustainability, MDPI, vol. 14(14), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8714-:d:864139
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    References listed on IDEAS

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    1. Miluska Murillo-Zegarra & Carla Ruiz-Mafe & Silvia Sanz-Blas, 2020. "The Effects of Mobile Advertising Alerts and Perceived Value on Continuance Intention for Branded Mobile Apps," Sustainability, MDPI, vol. 12(17), pages 1-20, August.
    2. Liang Xiao & Feipeng Guo & Fumao Yu & Shengnan Liu, 2019. "The Effects of Online Shopping Context Cues on Consumers’ Purchase Intention for Cross-Border E-Commerce Sustainability," Sustainability, MDPI, vol. 11(10), pages 1-24, May.
    3. Mustafa Ozkan & Kemal Cek & Serife Z. Eyupoglu, 2022. "Sustainable Development and Customer Satisfaction and Loyalty in North Cyprus: The Mediating Effect of Customer Identification," Sustainability, MDPI, vol. 14(9), pages 1-13, April.
    4. Thomas Reardon & Ben Belton & Lenis Saweda O. Liverpool‐Tasie & Liang Lu & Chandra S. R. Nuthalapati & Oyinkan Tasie & David Zilberman, 2021. "E‐commerce's fast‐tracking diffusion and adaptation in developing countries," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(4), pages 1243-1259, December.
    5. Francisco Diez-Martin & Alicia Blanco-Gonzalez & Camilo Prado-Roman, 2019. "Research Challenges in Digital Marketing: Sustainability," Sustainability, MDPI, vol. 11(10), pages 1-13, May.
    6. Philipp Brüggemann & Koen Pauwels, 2022. "Consumers’ Attitudes and Purchases in Online Versus Offline Grocery Shopping," Springer Proceedings in Business and Economics, in: Francisco J. Martínez-López & Juan Carlos Gázquez-Abad & Marco Ieva (ed.), Advances in National Brand and Private Label Marketing, pages 39-46, Springer.
    7. M. Goldstein & S. Morris & G. Yen, 2004. "Problems with fitting to the power-law distribution," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 41(2), pages 255-258, September.
    8. Juan He, 2022. "Sustainable Seafood Consumption in Action: Reinvigorating Consumers’ Right to Information in a Borderless Digital World," Journal of International Economic Law, Oxford University Press, vol. 25(1), pages 171-190.
    9. Tian, Yongge & Wiens, Douglas P., 2006. "On equality and proportionality of ordinary least squares, weighted least squares and best linear unbiased estimators in the general linear model," Statistics & Probability Letters, Elsevier, vol. 76(12), pages 1265-1272, July.
    10. Wu, Xingli & Liao, Huchang, 2021. "Modeling personalized cognition of customers in online shopping," Omega, Elsevier, vol. 104(C).
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    Cited by:

    1. Hu Wang & Di Li & Changbin Jiang & Yuxiang Zhang, 2023. "Exploring the Interactive Relationship between Retailers’ Free Shipping Decisions and Manufacturers’ Product Sales in Digital Retailing," Sustainability, MDPI, vol. 15(17), pages 1-19, August.

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