Factors Influencing the Intention of Knowledge Paying Consumer Behavior among College Students in Guangdong
DOI:
https://doi.org/10.54097/hc6env17Keywords:
Knowledge Payment, Consumer Behavior, TPB-TAM Integrated Model, Quantitative Analysis MethodAbstract
This study utilizes the TPB-TAM integrated model to construct a theoretical model of consumer behavioral intention for knowledge payment users among university students in Guangdong Province. Using university students in Guangdong as a case study, the research analyzes the factors influencing the consumer behavioral intentions of knowledge payment users and summarizes the relationships between the relevant variables. The empirical research adopts quantitative methods and an online questionnaire survey. The data collected from the survey were analyzed using descriptive statistics, reliability analysis, validity analysis, factor analysis, correlation analysis, and regression analysis. The study finds that perceived behavioral control, copyright awareness, subjective norms, perceived usefulness, perceived ease of use, and perceived service quality are significantly and positively correlated with users' consumption intentions. Additionally, perceived behavioral control, consumption intentions, and perceived service quality are significantly and positively correlated with users' actual consumption behavior. To enhance the consumption experience and satisfaction of knowledge payment users, it is crucial for knowledge payment platforms, relevant government departments, and users themselves to work together. This collaboration should focus on effectively managing user costs, strengthening copyright protection, and prioritizing the development of online reputation, thereby promoting the healthy development of the knowledge payment market among university students in Guangdong Province.
Downloads
References
[1] Yu Guoming, & Guo Chaokai. (2017). Online Knowledge Payment: Main Types, Structural Framework, and Development Models. Editing Journal, (05), 6-11.
[2] Chen Zeqian. Analysis of the Driving Factors of Knowledge Production Behavior on Open Content Knowledge Dissemination Platforms. Library and Information Knowledge, 2013 (04): 76-84.
[3] Zhang Yangyi, Peng Zijian, Liu Qikai. Factors Influencing the Continued Participation Willingness of Users in Paid Observations on Q&A Platforms. Library Forum, 2018, 38(06): 86-94.
[4] Zhang Ying, Zhu Qinghua. Research on the Behavior of Questioners in Selecting Answerers in Paid Knowledge Q&A Communities. Information Theory and Practice, 2018, 41(12): 21-26.
[5] Li Gang, Lu Yanqiang, Teng Shuyuan. Research on Users' Online Knowledge Payment Behavior: Based on the Theory of Planned Behavior. Library Research, 2018(10): 49-60.
[6] Ajzen I. The theory of planned behavior[J]. Organizational Behavior & Human Decision Processes, 1991, 50(2):179–211.
[7] Shen Meng, Gan Chenlin, Chen Yinrong, et al. Research on Factors Influencing Farmers' Intention to Transfer Farmland Based on the DTPB Theory: A Case Study of the Wuhan Urban Agglomeration. Research of Agricultural Modernization, 2019, 40(03): 441-449.
[8] Zhang Qilin. Constructing a Healthy Copyright Ecosystem in the Knowledge Payment Industry. Science and Publishing, 2018(06): 27-31.
[9] Xue Yunjian, Dong Yu, Pu Xujin. Model Construction and Empirical Research on Users' Continuous Usage Intention of Knowledge Payment Apps. Economy and Management, 2021, 35(04): 17-23.
[10] Yang Xinya, Hu Xin. Research on the Influencing Factors of Knowledge Payment Behavior in China's Mobile Internet from the MOA Perspective: A Case Study of Ximalaya FM. New Century Library, 2019(10): 29-36.
[11] Liu Xiaoli, Zhang Lei. Research on the Mechanism by Which Platform Interactivity Influences Users' Intention to Pay for Online Knowledge. New Century Library, 2020(08): 22-28+79.
[12] Dong Yu. Research on the Factors Influencing Users' Willingness to Pay for Knowledge [D]. Jiangsu: Jiangnan University, 2021.
[13] Han Mei. Analysis of Factors Affecting the Quality of Information Resources on Knowledge Payment Platforms from the Perspective of User Perception. Library and Information Service, 2019, 63(13): 43-51.
[14] Christopher, J, Armitage, et al. Efficacy of the Theory of Planned Behaviour: A meta-analytic review[J]. British Journal of Social Psychology, 2001, 40(4):471-499.
[15] Guangdong Provincial Department of Education. (2023). 2022 Statistical Bulletin on the Development of Education in Guangdong Province. Retrieved from [http://edu. gd.gov.cn/ zwgknew/sjfb/content/post_4196860.html](http://edu.gd.gov.cn/zwgknew/sjfb/content/post_4196860.html).
[16] Argyrous, G. (2011). Statistics for Research with a Guide to SPSS Statistics for Research with a Guide to SPSS George Argyrous Sage Publications £29.99 608pp isbn: 97818492 05955 1849205957 [Formula: see text]. Nurse researcher, 19 2, 45.
[17] Huajing Intelligence Network. (2023). Analysis of the Market Size, Number of Users, and Industry Chain Structure of China's Knowledge Payment Market in 2023. Retrieved from [https:// baijiahao.baidu.com/s?id=1767575257824642671&wfr=spider&for=pc](https://baijiahao.baidu.com/s?id=1767575257824642671&wfr=spider&for=pc).
[18] iiMedia. (2022). Analysis of User Groups in the Knowledge Payment Industry: "35+" Becomes the Main Force in Knowledge Consumption. Retrieved from [https:// baijiahao. baidu.com/s?id=1733143590060336160&wfr=spider&for=pc](https://baijiahao.baidu.com/s?id=1733143590060336160&wfr=spider&for=pc).
[19] Global Times Technology. (2023). Report: China's Knowledge Payment Market Reached 112.65 Billion Yuan in 2022. Retrieved from [https:// baijiahao.baidu. com/s?id= 17616 02385586771417&wfr=spider&for=pc](https://baijiahao.baidu.com/s?id=1761602385586771417&wfr=spider&for=pc).
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Journal of Education and Educational Research

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.









