Research on User's Willingness to Pay for Educational Content Based on the ELM

Hua Zhang, Yelin Guo, Xin Huo, Yu Li
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Abstract

: This article uses the elaboration likelihood model (ELM) as the foundational theoretical framework to comprehensively analyze various factors that affect the behavior of users paying for educational content in the central and peripheral pathways. This study fills the gaps in research perspectives and systems from the past and expands the application areas of the elaboration likelihood model. From a practical perspective, the research results of this paper partially address the series of problems in knowledge payment, provide feasible suggestions to enhance user stickiness of educational content payment platforms. Furthermore, the research results can also promote the high-quality development of the content payment industry and provide support for economic recovery after the pandemic.
基于ELM的教育内容用户付费意愿研究
:本文以细化似然模型(ELM)为基础理论框架,综合分析影响用户对教育内容付费行为的中枢和外围通路的各种因素。本研究填补了以往在研究视角和研究体系上的空白,拓展了阐述似然模型的应用领域。从实践的角度来看,本文的研究成果部分解决了知识付费中存在的一系列问题,为增强教育内容付费平台的用户粘性提供了可行的建议。此外,研究成果还可以促进内容付费产业的高质量发展,为疫情后经济复苏提供支撑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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