Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022)

Analysis of the Effect of Customer Characteristics on Discount Rate on a B2C E-commerce Website in China: JD.Com as an Example

Authors
Haozhi Liu1, Shu Xu2, *, Yuxuan Zhang3
1School of Mathematics, Hunan University, Changsha, 410000, China
2Eli Broad College of Business, Michigan State University, Michigan, 48824, USA
3Faculty of Policy Studies, Doshisha University, Kyoto, 602-8580, Japan
*Corresponding author. Email: xushu2@msu.edu
Corresponding Author
Shu Xu
Available Online 29 December 2022.
DOI
10.2991/978-2-494069-31-2_191How to use a DOI?
Keywords
B2C; JD.com; Discount; Customer Characteristics; Linear Regression
Abstract

With the development of online shopping in recent years, more and more e-commerce companies realize the importance of carefully formulating competitive discount policies to attract consumers. JD.com, one of China's largest B2C e-commerce websites, is famous for its high-quality products and excellent supply chain. Whether there is room for improvement in its discount policy, that is, whether it can adjust the discount for different consumer groups to improve its discount policy is the main research issue of this paper. This article used the sales data of JD.com in March 2018. This paper firstly interprets the original data and then integrates the original data. At the same time, to facilitate the subsequent analysis, this paper uses the idea of the control variable method to analyze the data and each customer's characteristic studied. Grouping according to characteristics, and then using linear regression to analyze the data of each group to explore the relationship between different types of discounts and customer characteristics, and find out the determinants of discounts and whether there are significant differences in discounts for different consumers groups. Based on the above research methods, this paper obtains the degree of influence of different customer characteristics on different discount types and the total discount rate and finally recommends JD.com, so that it can improve its discount policies to a certain extent, to attract more consumers and gain more revenue.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
29 December 2022
ISBN
10.2991/978-2-494069-31-2_191
ISSN
2352-5398
DOI
10.2991/978-2-494069-31-2_191How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Haozhi Liu
AU  - Shu Xu
AU  - Yuxuan Zhang
PY  - 2022
DA  - 2022/12/29
TI  - Analysis of the Effect of Customer Characteristics on Discount Rate on a B2C E-commerce Website in China: JD.Com as an Example
BT  - Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022)
PB  - Atlantis Press
SP  - 1620
EP  - 1633
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-31-2_191
DO  - 10.2991/978-2-494069-31-2_191
ID  - Liu2022
ER  -