Paper
3 February 2023 Visual analysis of Chinese consumers’ purchasing behavior
Xinyu Ma, Chengye Zhang, Fang Xia, Yufang He
Author Affiliations +
Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 125110P (2023) https://doi.org/10.1117/12.2660067
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China
Abstract
This study aims to use visualization software to explore the development process and research hotspots of Chinese consumer purchasing behavior. We analyzed 4751 articles retrieved by CNKI through CiteSpace. Based on the analysis results of CiteSpace software, we came to the following conclusions: firstly, the number of documents showing an upward trend and researched the development process, which can be divided into four periods: budding, formation, development, and adjustment. Secondly, the analysis of highly cited literature can be divided into three categories, i.e., research review, model construction, and empirical research. Thirdly, the research hotspots focus on four dimensions: external stimuli, consumer satisfaction, consumer psychology, and e-commerce. This study provides a systematic and objective perspective, which will help scholars understand the research hotspots.
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Xinyu Ma, Chengye Zhang, Fang Xia, and Yufang He "Visual analysis of Chinese consumers’ purchasing behavior", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 125110P (3 February 2023); https://doi.org/10.1117/12.2660067
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KEYWORDS
Analytical research

Visualization

Visual analytics

Statistical analysis

Psychology

Image segmentation

Internet

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