摘要
Currently, a consumer＇s monthly premium payment amount remitted to the National Health Insurance is based on the ＂monthly real wages,＂ while commercial health insurance uses ＂consumer age＂ as the basis for the premium amount charged. In reality, health, salary, and age have no visible connection. Therefore, the insurance premium scheme using salary and age as standards should be improved and adjusted upon. This study uses the Decomposed Theory of Planned Behavior as the research basis, and through the designed questionnaire, investigates the health data gathered from wearable devices and uses big data to process the constructed health assessment indicators. These indicators will be used to analyze whether consumers are willing to contribute to their health insurance using the dynamic payment mechanism. Subsequently, empirical research was performed using hypothesis architecture and structural equation.
