Research Article
Data Analysis Based on Knowledge Payment Behavior of College Students
@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
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.
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