Effect of perceived risks, perceived benefits and regulatory events on users’ supervision intention towards e-hailing platforms: A mixed method

Abstract

Research on platform governance has gained extensive scholarly interest. However, studies on user participation intention towards platform supervision remain underexplored. In this study, a mixed method approach, including qualitative and quantitative methods, is used to explore the factors influencing the supervision intention of e-hailing users. A preliminary interview study is conducted to determine what factors impact users’ supervision intention, and an SEM model is tested using 359 survey data to examine how perceived government regulation, perceived risks/benefits and regulatory events impact supervision intention. Results indicate that perceived government regulation reduces perceived risks and increases the perceived benefits from participation into supervision, perceived risks weakened users’ supervision intention, whereas perceived benefits stimulated it. Perceived risks and perceived benefits positively mediated the relationship between perceived government regulation and users’ supervision intention. Regulatory events have a negative moderating effect on the relationship between e-hailing users’ perceived risks (benefits) and supervision intention.