Abstract: 【Purpose/significance】Due to the impact of COVID-19,online job interview has become an important form of employment
for college graduates.However,with a series of disclosure of resume information,how to reduce the privacy of graduates' online job hunt-ing has become a common concern of the academic community,the media,and the public【. Method/process】With APCO framework and IUIPC scale,by six important antecedent,this paper constructs the factors theory model that affect the privacy concerns.Using NCA and QCA fuzzy set analysis method,this paper discusses the multiple concurrent factors and complex causal mechanism between the multi factors of graduates’privacy concerns when applying for a job.【Result/conclusion】the driving mechanism of graduates' low privacy concern in online job hunting can be divided into seven paths;The institutional impact plays a crucial role in reducing the privacy con-cerns of job-seeking graduates;As a subjective controllable condition,improving the network literacy of graduates is a feasible choice to quickly reduce the privacy concerns of job-seeking graduates.【Innovation/limitation】This paper introduces the method of fsQCA and selects six variables to explore the driving mechanism and the relationship between variables of low privacy concern of online job?hunting graduates from the perspective of configuration.The time dimension can be added for further analysis in the future.