Berkeley Dietvorst’s research focuses on understanding how consumers and managers make judgments and decisions, and how to improve them. His main focus, thus far, has been when and why forecasters fail to use algorithms that outperform human forecasters, and explores prescriptions that increase consumers’ and managers’ willingness to use algorithms.
Dietvorst’s other research looks at such topics as people’s ability to ignore information, consequences of performance expectations, and consumers’ reactions to corporate experiments. His research has been published in the Journal of Experimental Psychology: General, Psychological Science, Marketing Science, and Management Science as well as other journals. His work has been referenced in such media outlets as the Financial Times, Harvard Business Review, The New York Times, and The Boston Globe.
Dietvorst earned both a BS in economics and a PhD in decision processes from The Wharton School, University of Pennsylvania.