Analysis of Consumer Perceived Betrayal and Response Strategies under Algorithmic Price Discrimination
With the widespread application of big data,algorithms have penetrated into people's lives,and the oc-currence of algorithmic price discrimination is also common.In this study,based on attribution theory and rela-tionship quality theory,the impact mechanism of algorithmic price discrimination on consumers'perceived be-trayal is analyzed through field investigations and other methods,and the.mediating variable role of intentional attribution is studied,Further explore the moderating relationship between relationship quality and price sensitiv-ity.Research has shown that high algorithmic price discrimination can generate stronger intentional attribution towards consumers,allowing them to feel strong betrayal.If the quality of the relationship between merchants and consumers is higher,algorithmic price discrimination will generate a stronger sense of betrayal towards consumers.