Research On Users' Continuous Adoption Intention Of Digital Health App:Under The Perceived Value Perspective

With the rapid development in information technologies and the continued progress in mobile devices,which have provided new chances for the development of e-health and health industry.As a result,the web-based health information retrieval model based on PC has gradually developed a branch of mobile App interactive services.However,with the end of the rapid growth period of digital health apps and the saturation of client functions,apps are facing the problem of low retention and serious loss of users after the initial adoption.Therefore,clarifying the relevant factors and paths that affect users' continued adoption of digital health apps and increasing users' willingness to continue to adopt are of great significance for promoting the functional improvement and sustainable development of digital health apps.Based on the perspective of perceived value,this paper uses grounded theory and fuzzy set qualitative comparative analysis to study the continued adopt willingness of digital health App users.First,this article uses the negative reviews of digital health apps as research data,collects 700 negative reviews from 8 different types of digital health apps,uses grounded theory to carry out exploratory research,and refines the factors that influence users' continued adoption of digital health apps,at the same time,constructed a theoretical model.Subsequently,this article collected 145 questionnaire data through the questionnaire survey method and studied the configuration that led users to continue to adopt the digital health App through the method of fuzzy set qualitative comparative analysis.Finally,this article sorts out the research conclusions of the full text,summarizes the theoretical enlightenment of further research and practical enlightenment for the future development of digital health apps,points out the research deficiencies of this article,and looks forward to the future research of digital health.The research result of this article are:(1)Through grounded theoretical research methods,the negative reviews of digital health apps were coded,63 initial concepts were extracted,and 20 initial categories were formed.On this basis,the value of consultation was summarized.There are six main categories: inquiry value,transaction value,environmental value,safety value,renewal value and system value,which can be divided into two core categories: service function factors and auxiliary experience factors.(2)Using fuzzy set qualitative comparative analysis,a total of 3 effective configurations that lead users to continue to adopt digital health apps are formed.The two transaction-oriented user configurations include: high update value~* high transaction value~* high security value~* high inquiry value;high update value~* high transaction value~* high safety value~* high environmental value~* high system value.An auxiliary experience-based user configuration is: low system value~* high update value~* high security value~* high inquiry value~* high environmental value.In response to the above research results,this article provides two enlightenments for the development of digital health apps.On the one hand,it is recommended that digital health apps focus on safety value and update value enhancement;Focus on distinguishing between transaction-oriented users and special consultation users.