Pengzhu Zhang

Although the development of national conditions and the increase in health risk factors undoubtedly pose a huge challenge to China’s medical health and labour security system, these simultaneously promote the elevation and transformation of national healthcare consciousness. Given that the current disease diagnosis and treatment models hardly satisfy the growing demand for medical and health care in China, based on the theory of healthcare and basic laws of human physiological activities, and combined with the characteristics of the information society, this paper presents a panoramic and personalised intelligent healthcare mode that is aimed at improving and promoting individual health. The basic definition and conceptual model are provided, and its basic characteristics and specific connotations are elaborated in detail. Subsequently, an intelligent coordination model of daily time allocation and a dynamic optimisation model for healthcare programmes are proposed. The implementation of this mode is explicitly illustrated with a practical application case. It is expected that this study will provide new ideas for further healthcare research and development.

With the aging of the population and the upgrading of the consumption structure of national health demand in China, it has become a new trend for the public to actively seek health products and services on social networks. Based on the theory of reasoned behavior and the theory of expectancy confirmation, this study aims to analyze the cognitive factors and their effects on WeChat users’ purchase intention in the process of health product consumption. Considering that safety is a key feature of health products that distinguishes them from other consumer products, the “satisfaction” concept in the expectancy confirmation model is replaced by “trust” in this study. Two hundred and two (202) valid samples were collected by a questionnaire survey to analyze their intentions to buy health products on WeChat. Theoretical models and corresponding research hypotheses were verified by structural equation modeling. The research results show that emotional price and emotional experience are positively correlated with trust and purchase intention. There is an obvious negative correlation between privacy invasion and trust. Expectation confirmation is positively associated with trust. Moreover, the intermediary test shows that trust has completely mediated between emotional price and purchase intention, and trust also has a full intermediary effect on expectation confirmation and purchase intention.

Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

This study examines the predictive power of self-disclosed social media information on borrowers’ default in peer-to-peer (P2P) lending and identifies social deterrence as a new underlying mechanism that explains the predictive power. Using a unique data set that combines loan data from a large P2P lending platform with social media presence data from a popular social media site, borrowers’ self-disclosure of their social media account and their social media activities are shown to predict borrowers’ default probability. Leveraging a social media marketing campaign that increases the credibility of the P2P platform and lenders disclosing loan default information on borrowers’ social media accounts as a natural experiment, a difference-in-differences analysis finds a significant decrease in loan default rate and increase in default repayment probability after the event, indicating that borrowers are deterred by potential social stigma. The results suggest that borrowers’ social information can be used not only for credit screening but also for default reduction and debt collection.