The uncoordinated and conflicting relationships between doctors and patients are becoming a real dilemma faced by the medical industry and the whole society, which severely affects people's sense of well-being and health. Based on the multiple dimensions of trust, information asymmetry, and moral hazard, we use evolutionary game theory and replicating dynamic equations to construct the evolutionary game model, in the model, doctors and patients could select cooperation strategy or conflict strategy. Through an in-depth study on the model and the model's simulation, we find that the doctor-patient relationship will eventually form a zero-sum game or a win-win situation. As for which situation is stable, it is closely related to the initial parameters of the evolutionary game model and the payment matrix of the evolutionary game. Increasing the trust degree, reducing the degree of information asymmetry and moral hazard would help doctors and patients shift their strategic choices from conflict to cooperation. We also find that increasing the trust degree, reducing the degree of information asymmetry, and reducing the degree of the patients' moral hazard could promote the cooperation level effectively. The study aims to ease the contradiction between doctors and patients, solve the current doctor-patient dilemma, and provide a particular reference for building a new doctor-patient cooperation relationship.INDEX TERMS Doctor-patient relationship, evolutionary game, information asymmetry, trust, moral hazard.
With the informatization development and digital construction in the healthcare industry, electronic medical records and Internet medicine facilitate people's medical treatment. However, the current data storage method has the risk of data loss, leakage, and tampering, and can't support extensive and secure sharing of medical data. To realize effective and secure medical data storage and sharing among offline medical institutions and Internet medicine platforms, this study used a combined private blockchain and consortium blockchain to design a medical blockchain double-chain system (MBDS). This system can store encrypted medical data in distributed storage mode and systematically integrate the medical data of patients in offline medical institutions and Internet medicine platforms, to achieve equality, credibility, and data sharing among participating nodes. The MBDS system constructed in this study incorporated Internet medicine care services into the current healthcare system and provided new solutions and practical guidance for the future development of collaborative medical care. This study helped to solve the problems of medical data interconnection and resource sharing, improve the efficiency and effect of disease diagnosis, alleviate the contradiction between doctors and patients, and facilitate personal health management. This study has substantial theoretical and practical implications for the research and application of medical data storage and sharing.
With the arbitrariness of family business decision-making and the complexity of interests become increasingly prominent, the transformation and innovation of family business are imminent. Under the above background, via analysis of data from 259 valid questionnaires from more than ten family businesses in China as a sample and with the help of the SPSS and AMOS, this study explored the impacts of identification on creativity of the family business as well as the mediating role of family business support by constructing a mediating model. The results show that the employee’s identification has a positive impact on the creativity of the family business. Besides, identification has a positive impact on family business support and family business support has a partial mediating role between identification and family business creativity. Especially, the emotional support does not have a mediating role, whereas the instrumental support has a complete mediating role between identification and family business creativity.
Top management teams (TMTs) play an important role in enterprises. How to improve the cooperation of TMTs in the process of the mixed ownership reform of state-owned enterprise is a new era theme and currently a key objective in China. In this paper, we use evolutionary game theory to research the dynamic behavior of TMTs from the perspective of knowledge input and knowledge flow. We construct the evolutionary game model from the dimensions of knowledge input, knowledge flow, cooperation costs, government reward, and government penalty firstly, then we explore the strategy selection on knowledge input or not in the cooperation of TMTs between state-owned enterprise and private enterprise. Finally, we discuss the model's local stability and perform a simulation analysis of the factors that can influence the stability of the model. The results show that the final strategy choices of TMTs between two parties are related to not only the initial payment matrix constructed but also the selection of the initial parameters of the partners: Under different situations, the strategy evolution result will be stable at (input, not input), (not input, input) and (input, input). Increasing the degree of knowledge flow, government reward, and government penalty and reducing the cooperation costs between state-owned enterprise and private enterprise can promote the TMTs' cooperation in the process of the mixed ownership reform. Based on the conclusions, we put forward relevant suggestions for enterprises and the government. We hope that this research can provide some sustainable solutions to improve the cooperation of the TMTs between stateowned and private enterprise. INDEX TERMS Mixed ownership reform; top management teams; state-owned enterprise; knowledge flow; cooperative behavior; evolutionary game
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