The Impact of Resource Sharers' Personal Descriptive Information on Sharing Effect in the Sharing Economy

The sharing economy not only gets more and more people's attention, but also subverts the traditional economic model with its revolutionary power. This paper aims to study the impact of resource sharers' personal descriptive information on the sharing effect in the sharing economy. The author collected the data of sharers' personal descriptive information through the Python program from XiaoZhu short rental website, and analyzed the impact of breadth and depth of sharers' personal descriptive information on sharing effect using regression analysis and content analysis methods. The results show that the breadth and depth of the information have a significant positive impact on the sharing effect, and credit level has a negative moderating effect on the impact of information breadth on sharing effect. Finally, according to the results, it provides some reference for trust building between resource sharers and consumers.