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Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

Research Article

Data Analysis Based on Knowledge Payment Behavior of College Students

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  • @INPROCEEDINGS{10.4108/eai.19-5-2023.2334338,
        author={Qimiao  Ma and Bo  Tang and Ou  Lan and Zihao  Wang and Xinbo  Li and Jingke  Yin},
        title={Data Analysis Based on Knowledge Payment Behavior of College Students },
        proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China},
        publisher={EAI},
        proceedings_a={ICBBEM},
        year={2023},
        month={7},
        keywords={knowledge payment impact factors multinomial logistic regression analysis},
        doi={10.4108/eai.19-5-2023.2334338}
    }
    
  • Qimiao Ma
    Bo Tang
    Ou Lan
    Zihao Wang
    Xinbo Li
    Jingke Yin
    Year: 2023
    Data Analysis Based on Knowledge Payment Behavior of College Students
    ICBBEM
    EAI
    DOI: 10.4108/eai.19-5-2023.2334338
Qimiao Ma1, Bo Tang1,*, Ou Lan1, Zihao Wang1, Xinbo Li1, Jingke Yin1
  • 1: Guilin University of Electronic Technology
*Contact email: apriltb@163.com

Abstract

In view of the existing willingness to pay for knowledge, we carried out multiple Logistic regression analysis on the influencing factors of college students' ability to pay for Internet knowledge, and obtained the correlation between college students' willingness to pay for Internet knowledge and various factors. The results show that college students tend to choose content with better quality, more flexible service, high public evaluation and prominent brand effect when paying for online knowledge.

Keywords
knowledge payment impact factors multinomial logistic regression analysis
Published
2023-07-24
Publisher
EAI
http://dx.doi.org/10.4108/eai.19-5-2023.2334338
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