Abstract
On the one hand, the rapid development of mobile Internet makes a large amount of free information available, on the other hand, it reduces the efficiency of people to obtain effective information. With the development of economy and the improvement of people’s consumption level, knowledge payment products have become an efficient way for more and more learners to obtain knowledge and consultation. Knowledge payment platform users show different in the process of learning needs and expectations, based on the research of the user needs to understand the user’s habits, accurate positioning the user’s learning and paying willingness, to provide users with higher quality, better experience knowledge paid products and promote the use of user satisfaction and loyalty. This paper takes the user viscosity of the knowledge payment platform as the research object, and obtains the influencing factors of user viscosity through qualitative and quantitative research based on the user experience. On the basis of theoretical research, this paper summarizes the influencing factors of user viscosity of knowledge payment platform, and further studies the influencing factors of user viscosity by questionnaire survey. Finally, the relevant research bias graph affecting the user viscosity of knowledge payment platform is obtained, and corresponding design optimization Suggestions are given based on the survey results. Through the research of this paper, it is helpful for knowledge payment platform to optimize resource allocation and improve user experience and user viscosity. Increase users’ willingness to pay and promote the sustainable development of enterprises.
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Wang, X., Jiang, B. (2020). User Loyalty Analysis of Knowledge Payment Platform. In: Kurosu, M. (eds) Human-Computer Interaction. Design and User Experience. HCII 2020. Lecture Notes in Computer Science(), vol 12181. Springer, Cham. https://doi.org/10.1007/978-3-030-49059-1_36
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DOI: https://doi.org/10.1007/978-3-030-49059-1_36
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