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This study aims to empirically analyze the factors influencing digital financial inclusion in China.
Using panel data from 31 provinces in China for the years 2011-2018, the study constructed spatial econometric models for regression analysis at the national and regional levels.
Economic development, government intervention, internet penetration and the development of the credit level significantly affected the development of digital financial inclusion in China. However, the specific influence of the various factors varied by province. Provinces with less-developed economies generally had weaker economic foundations and underdeveloped digital financial services, making it more difficult to fully achieve digital financial inclusion.
Relevant government policies should strengthen digital infrastructure and improve the organizational systems and services of digital finance to support the balanced development of digital financial services in China.
China’s e-commerce development has been at the global forefront for decades, which suggests digital financial inclusion is also well-placed for strong development in China. However, quantitative research on the digital financial inclusion index has remained insufficient in China and worldwide, with most research ignoring the status of different development levels in a different region. To address this gap in the literature, this study empirically researched the status, regional differences and causes associated with these differences that impact digital financial inclusion in China.
The purpose of this paper is to investigate why users are willing to diffuse healthcare knowledge in social media by drawing on the communicative ecology theory (CET) and…
The purpose of this paper is to investigate why users are willing to diffuse healthcare knowledge in social media by drawing on the communicative ecology theory (CET) and prior research on interpersonal communication.
This paper conducts a large-scale scenario-based online survey in WeChat (the most popular social media platform in China) to test the proposed research model and hypotheses. The final data set consists of 1,039 useful responses from WeChat users.
The results indicate that interestingness, emotionality and institution-based trust are the strongest antecedents in predicting healthcare knowledge-diffusing likelihood, followed by usefulness, source credibility and positivity. Further, the relationship between institution-based trust and healthcare knowledge-diffusing likelihood is partially mediated by source credibility.
Healthcare practitioners who seek to motivate individuals to disseminate healthcare knowledge need to phrase or frame healthcare knowledge in a way that draws greater interest, evokes stronger emotion, increases perceived usefulness or reflects positively on themselves. Healthcare organizations should also pay attention to strengthening users’ trust in the platform and source-related information that can indicate source authority.
This study is one of the first to investigate the dissemination of healthcare knowledge in the context of social media (WeChat in particular). Compared with other types of information, healthcare knowledge is more scientific and professional to the extent that most laypersons do not have relevant expertise to directly evaluate whether the content is credible and of high quality. Rather, their sharing likelihood is dependent more on other factors than perceived information quality and credibility; those factors include platform-related factors that may play an important role but has been overlooked in prior literature on interpersonal communication. By combining CET with interpersonal communication-related research and including institution-based trust as an important determinant of healthcare knowledge dissemination, this study provides a comprehensive analysis of healthcare knowledge diffusion process.