Predictors of consumers’ willingness to share personal information with fashion sales robots
Christina Soyoung Song, Youn‐Kyung Kim
Abstract
This study investigates whether consumers' self-interests and social interactions predict their willingness to share their personal information with a fashion sales robot. The study develops hypotheses based upon the information sharing theory and tests them by building a decision tree predictive model. Using a video stimulus of a fashion sales robot, we conduct interviews, pretests, and main data collection (n = 464) in the United States. The results indicate that service quality, enjoyment, and usefulness, which reflect self-interest, and trust, which reflects social interaction, predict consumers’ willingness to share personal information with the robots. These results suggest that fashion marketers should focus strategically on service quality and enjoyment when they adopt AI sales robots and use them as a medium to share information in customer service.