Advances in Economics, Management and Political Sciences

- The Open Access Proceedings Series for Conferences


Proceedings of the 2nd International Conference on Financial Technology and Business Analysis

Series Vol. 70 , 08 January 2024


Open Access | Article

Research on Influencing Factors of Customer Purchasing Behavior Based on PCA

Ziyue Li * 1
1 Nanjing University

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 70, 45-51
Published 08 January 2024. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Ziyue Li. Research on Influencing Factors of Customer Purchasing Behavior Based on PCA . AEMPS (2024) Vol. 70: 45-51. DOI: 10.54254/2754-1169/70/20231569.

Abstract

In the research of customer behaviour, customer stickiness has always been one of the hottest topics. Relevant research of customer behavior is based on the obtained data, and proposes advice of the corresponding industry. This paper aims at a special purchasing group among customers. Through the PCA of the order content of this special part of customers, it can be concluded that the factors affecting the customer's purchasing behaviour mainly include the quantity and unit price. Through the analysis of the results, reasonable and feasible suggestions can be put forward for the transformation of one-time customers into long-term and stable customers, thus the customer's adhesion can be improved.

Keywords

PCA, one-time purchasing, customer behavior

References

1. Qianxuan Liu Market impact strategy analysis considering customer value (Times of Future, 2021,(11),134-135)

2. Jianbin Chen Research on the Evaluation of the Development Environment of Private Economy Based on PCA(China: Nanchang Social Sciences Academy,Nanchang Jiangxi 330039)

3. Tingting Tian Application of PCA in Financial Analysis of GEM listed enterprises (Oriental Enterprise Culture, 2011(20))

4. Qiuyi Zhai Research on Customer Classification of Private Education Customers in China Based on Cluster Analysis (Mathematics in Practice and Theory,2022,52(02))

5. Ting Zhang Application of ant colony clustering optimization algorithm in retail customer classification (Journal of Guiyang University (Natural Sciences),2021,16(02))

6. Siyu Yao Improved Ant Colony Clustering Algorithm in Customer Classification Research and Application (Dalian Maritime University)

7. Yi Qin Research on the Influencing Factors of Researchers’ Cooperation in Virtual Academic Communities Based on Principal Component Analysis: Case Study of ‘MuChong’ BBS (Information Research, 2020(05))

8. Zhihao Zhuo Innovation Capability Evaluation of High-tech Enterprises in Guangxi Based on PCA (Sci-Tech & Development of Enterprise, 2021(01))

9. Chen Liu Research on the Influencing Factors of Customer Switching Cost in Online Shopping (Economic & Trade, 2015(08))

10. Haiping Shen Comprehensive Evaluation of Small and Medium-sized listed Companies based on Interval PCA (Journal of Fujian Institute of Financial, 2011(02))

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
ISBN (Print)
978-1-83558-271-8
ISBN (Online)
978-1-83558-272-5
Published Date
08 January 2024
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/70/20231569
Copyright
08 January 2024
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated