Research on the Influencing Factors of Online Clothing Sales Based on Binary Logit Regression

Yichen Gu, Zejian Wang, Yunfeng Xia

2024

Abstract

The main purpose of this study is to use the method of binary logit regression to conduct a comprehensive discussion on "factors affecting online clothing sales". In the era of more and more developed online sales, online clothing sales occupy a large part of online commodity sales, but at the same time, there are still many problems in online clothing sales that need to be improved. The overall goal is to find the basic determinants of customer satisfaction in online clothing sales, so as to give the factors for enterprises to increase online clothing sales. In this study, some online questionnaires were first obtained to obtain the data of people choosing online or offline shopping. Then, empirical analysis was conducted using the data set obtained from Kaggle to identify the correlation of online fields that significantly affects product sales, and binary logit regression analysis was carried out after processing these data. Through calculation, it is determined that the payment method and the discount application has a significant positive impact on customer satisfaction, which shows that it is essential for relevant managers to optimize these two aspects to promote the virtuous cycle of online clothing sales.

Paper Citation

in Harvard Style

Gu Y., Wang Z. and Xia Y. (2024). Research on the Influencing Factors of Online Clothing Sales Based on Binary Logit Regression. In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 122-126. DOI: 10.5220/0012828900004547

in Bibtex Style

@conference{icdse24,
author={Yichen Gu and Zejian Wang and Yunfeng Xia},
title={Research on the Influencing Factors of Online Clothing Sales Based on Binary Logit Regression},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={122-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012828900004547},
isbn={978-989-758-690-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Research on the Influencing Factors of Online Clothing Sales Based on Binary Logit Regression
SN - 978-989-758-690-3
AU - Gu Y.
AU - Wang Z.
AU - Xia Y.
PY - 2024
SP - 122
EP - 126
DO - 10.5220/0012828900004547
PB - SciTePress