The Effect of Information Sharing Intention on Virtual Communities in China: An Empirical Study

Autor: Baoyu Xiao, Xiaobing Gan, Chuhan Wang
Rok vydání: 2020
Předmět:
Zdroj: 2020 The 11th International Conference on E-business, Management and Economics.
DOI: 10.1145/3414752.3414794
Popis: With the rapid development of information technology, various virtual communities like WeChat have sprung up in China. Based on Technology Acceptance Model (TAM) and theory of perceived value, the paper takes the “Top Stories” function of WeChat as an example and contributes to discuss what factors mainly affect users’ information sharing intention. Results with 250 valid user data indicate that content quality and social image both positively influence perceived usefulness. Besides, perceived usefulness, perceived entertainment and perceived ease of use have a noticeable positive effect on perceived value while privacy anxiety negatively affects it. However, the impact of perceived responsibility on perceived value is not significant. Finally, perceived value plays a crucial role in users’ information sharing intention. Generally, the findings have theoretical and practical value on improving the operational efficiency of the “Top Stories” function and informational communication in the virtual environment.
Databáze: OpenAIRE