监管周期性对药品互联网零售平台的影响路径分析OA

OBJECTIVE To study the impact path of regulatory periodicity on online drug sales platforms(hereinafter referred to as"platform")and provide suggestions for policy makers and platform development.METHODS Annual reports of platform enterprises for content analysis from machine learning were collected.The co-occurrence model and the co-occurrence network structure were built and used to analyze the impact of different regulatory periods on platforms.RESULTS&CONCLUSIONS The co-occurrence model shows that there are four types of impact paths that affect internal and external environments of platforms,including"impact mode","impact implementers","business impact",and"management impact".The co-occurrence network structure further reveals that during the strict regulatory period,platforms'responses to regulations are relatively unitary and concentrate on how to comply and reduce uncertainty.In favorable policy periods,however,platforms shift focus to how to use policy opportunities to innovate online drug sales activities,showing a more diversified network structure.It is suggested that top-level design should be strengthened and a"platform autonomy"mechanism should be introduced;real-time policy adjustment and dynamic supervision mechanisms should be established;platforms should be guided to proactively respond to regulations and implement transformation and upgrading;industry linkage should be strengthened to promote a virtuous cycle of"regulatory policies,platform upgrading,and industry upgrading".