【作者】 杨琳；

【导师】 宛玲；

【作者基本信息】 河北大学 ， 情报学， 2022， 硕士

【摘要】 近年来,伴随着人口老龄化问题不断加深,人们对健康信息的需求越来越大,并且当前医疗资源和服务效率并未能完全匹配我国大基数的老龄化人群,由此迸发出医疗保健和互联网相结合的新形式——在线健康社区。随着网络的不断发展,在线健康社区也展现出勃勃生机,逐渐成为方便用户获取健康信息、及时进行病情交流等活动的平台,这与用户积极参与社区信息共享密不可分。但在线健康社区的用户主要以信息浏览为主,信息共享意愿较低,久而久之会造成在线健康社区发展产生瓶颈,不能更好的服务用户。因此,本文首先对在线健康社区用户健康信息共享得影响因素进行研究;进一步结合演化博弈理论,研究用户、在线健康社区和政府三方博弈行为策略下的收益、成本和损失,由此列出收益矩阵并分析演化稳定策略,通过仿真实验讨论不同影响因素对系统演化稳定策略的影响;最后提出促进在线健康社区用户健康信息共享的策略,为加强在线健康社区持续发展贡献一份力量。主要研究内容及结论如下:首先,遵循实证研究的思路,以信息共享行为相关理论为基础并结合情绪理论、面子理论、成本效益理论和健康信念模型构建出影响用户健康信息共享意愿模型,通过问卷调查及数据分析,发现信息敏感度对用户健康信息共享意愿有显著负向的影响,用户经历、情绪、面子导向和疾病严重性这四个因素对用户健康信息共享意愿有显著正向的影响,并通过回归分析验证了相关假设,为下文构建演化博弈模型做铺垫。其次,进一步构建演化博弈模型。基于利益相关者理论和演化博弈理论,借鉴以往文献研究对模型中用到的参数进行了设定,建立用户、在线健康社区和政府之间的三方演化博弈模型,分析博弈模型的演化稳定性,进一步使用Matlab进行仿真验证,讨论不同影响因素下三方演化博弈的过程,最终得到的仿真结果与稳定性分析结果是一致的。研究结果发现,用户经历、情绪、面子导向、信息敏感度、疾病严重性和信息泄露概率对用户和线健康社区都会产生影响,并且信息泄露的损失能够影响用户信息共享意愿的演化方向,改变在线健康社区的演化速度;政府的惩罚和奖励措施则对在线健康社区和政府有双重影响,奖励促进社区积极保护比例,惩罚则会抑制社区积极保护比例,同时奖惩措施与社会效益也会改变政府的演化速度。最后,根据以上结论,从用户、在线健康社区和政府三个层面为提高在线健康社区用户健康信息共享意愿提出相关策略及建议。更多还原

【Abstract】 In recent years,along with the deepening problem of aging population,people’s demand for health information is increasing,and the efficiency of current medical resources and services does not fully match the large base of aging population in China,which has led to a new form of combining healthcare and the Internet-online health communities.With the continuous development of the Internet,online health communities have also shown great vitality,gradually becoming a platform for users to obtain health information and communicate their conditions in a timely manner,which is inseparable from the active participation of users in community information sharing.However,users of online health communities mainly browse information and are less willing to share information,which may cause bottlenecks in the development of online health communities over time and prevent them from serving users better.Therefore,this paper firstly investigates the factors influencing health information sharing among users of online health communities;furthermore,it combines evolutionary game theory to study the benefits,costs,and losses of users,online health communities,and the government under a three-party game behavior strategy,and then lists the benefit matrix and analyzes the evolutionary stability strategy.Finally,we propose a strategy to promote the sharing of health information among users of online health communities,and contribute to the sustainable development of online health communities.The main research contents and conclusions are as follows:First,following the idea of empirical research,based on the related theories of information sharing behavior,combined with emotion theory,face theory,cost-benefit theory and health belief model,a model that affects users’ willingness to share health information is constructed.Through questionnaire surveys and data analysis,it is found that information sensitivity has a significant negative influence on users’ willingness to share health information,and the four factors of user experience,emotion,face orientation and disease severity The four factors of user experience,emotion,face orientation and disease severity have a significant positive influence on users’ willingness to share health information,and the relevant hypotheses are verified through regression analysis,which paves the way for the construction of the evolutionary game model below.Second,the evolutionary game model is further constructed.Based on stakeholder theory and evolutionary game theory,the parameters used in the model were set based on previous studies in the literature,and a three-party evolutionary game model among users,online health communities and the government was established to analyze the evolutionary stability of the game model.The results of the study found that user experience,emotion,face orientation,information sensitivity,disease severity and information leakage probability affect both users and online health communities,and the loss of information leakage can influence the evolutionary direction of users’ willingness to share information and change the evolutionary speed of online health communities;government penalties and rewards have a dual impact on online health communities and the government,with rewards promoting the community’s positive Rewards promote the proportion of positive community protection,while penalties inhibit the proportion of positive community protection,while rewards and penalties and social benefits also change the evolutionary speed of the government.Finally,according to the above conclusions,some relevant strategies and suggestions are put forward to improve users’ willingness to share health information in online health community from three levels: users,online health community and government.更多还原