Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

Research Article

Analysis on E-Commerce Companies’ Business Strategies Based on Shipping Data

Download156 downloads
  • @INPROCEEDINGS{10.4108/eai.19-5-2023.2334253,
        author={Yue  Yu and Yingyuan  Lin},
        title={Analysis on E-Commerce Companies’ Business Strategies Based on Shipping Data},
        proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China},
        publisher={EAI},
        proceedings_a={ICBBEM},
        year={2023},
        month={7},
        keywords={e-commerce customer maintenance strategy shipping strategy consumer behaviors},
        doi={10.4108/eai.19-5-2023.2334253}
    }
    
  • Yue Yu
    Yingyuan Lin
    Year: 2023
    Analysis on E-Commerce Companies’ Business Strategies Based on Shipping Data
    ICBBEM
    EAI
    DOI: 10.4108/eai.19-5-2023.2334253
Yue Yu1,*, Yingyuan Lin2
  • 1: Jilin University
  • 2: University of California
*Contact email: yueyu0713@gmail.com

Abstract

COVID-19 brings chances accompanied by more fierce competition to the e-commerce business. Therefore, it requires e-commerce business owners to adjust their strategies to succeed. And this essay tries to provide insights into the e-commerce business by focusing on strategy of customer maintenance in the logistics aspect. The research uses multinomial logistic regression to examine what factors have significant impacts on customer satisfaction, and one-way ANOVA to explore strategies to retain customers. For the logistics aspect, the paper applies crosstab and chi-square test, and independent-sample t-test, to examine the significance between specific factors of customer behaviors, product characteristics, and shipping punctuality. The paper further explores the overall significant relationship between customer behaviors, product characteristics, and delivery punctuality by applying logistic regression. The analytical results support that consumer behaviors and product attributes significantly affect e-commerce shipping punctuality. The analysis of the results offers implications for e-commerce shipping strategies to succeed in the industry.