The ability to make predictions based on online searches in various contexts is gaining substantial interest in both research and practice. This study investigates a novel application of correlated online searches in predicting stock performance across supply chain partners. If two firms are...

There is an increasing attention in IS to be able to predict outcomes using search frequency on popular portals. This growing literature focuses on revealing demand patterns of individual assets (e.g., products, stocks, services). However, users typically search many different assets together...

Using data from a new field experiment in South Korea, we study how information from virtual communities such as stock message boards influences investors' trading decisions and investment performance. Motivated by recent studies in psychology, we conjecture that investors would use message...