Analysis of the Influencing Factors of Online Shopping Users' Purchasing Behavior

Shaogang Cheng; Jun Yin

Proceedings of the 2nd International Conference on Financial Innovation, FinTech and Information Technology, FFIT 2023, July 7–9, 2023, Chongqing, China

Research Article

Analysis of the Influencing Factors of Online Shopping Users' Purchasing Behavior

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.7-7-2023.2338053,
    author={Shaogang  Cheng and Jun  Yin},
    title={Analysis of the Influencing Factors of Online Shopping Users' Purchasing Behavior},
    proceedings={Proceedings of the 2nd International Conference on Financial Innovation, FinTech and Information Technology, FFIT 2023, July 7--9, 2023, Chongqing, China},
    publisher={EAI},
    proceedings_a={FFIT},
    year={2023},
    month={10},
    keywords={online shopping behavior analysis structure equation model data analysis},
    doi={10.4108/eai.7-7-2023.2338053}
}

Shaogang Cheng
Jun Yin
Year: 2023
Analysis of the Influencing Factors of Online Shopping Users' Purchasing Behavior
FFIT
EAI
DOI: 10.4108/eai.7-7-2023.2338053

Shaogang Cheng¹, Jun Yin¹^,*

1: Qinghai Normal University

*Contact email: yinlijun0908@163.com

Abstract

Online shopping websites collect and analyze product data that users browse every day, and then predict their possible purchasing behavior. This prediction method has ran-domness in increasing user purchasing behavior. This article adds a psychological prediction method that can more accurately distinguish user groups, predict their po-tential purchasing behavior, and combine Structural Equation Models to explore the relationship between user personal characteristics and their impact on purchasing.

Keywords: online shopping behavior analysis structure equation model data analysis

Published: 2023-10-26
Publisher: EAI

: http://dx.doi.org/10.4108/eai.7-7-2023.2338053