Yale School of Management Professors Tristan L. Botelho and Florian Ederer have been recognized for their research by the Technology, Innovation Management & Entrepreneurship Section (TIMES) of the Institute for Operational Research and Management Sciences.
Botelho, assistant professor of organizational behavior, received the Technology, Innovation Management & Entrepreneurship Best Dissertation Award from the Institute for Operational Research and Management Sciences for his dissertation, titled “Essays on Knowledge Sharing and an Opt-in Evaluation Process among Investment Professionals.”
In 2016, Botelho was the first-place winner of the INFORMS Organization Science Dissertation Proposal Competition.
Botelho’s research interests include digital platforms and entrepreneurship, with a focus on questions related to careers, innovation, social evaluation, and strategy. In current work, he explores how factors unrelated to quality, such as gender and social influence, affect the ratings investment professionals receive. In other work, he focuses on how employer characteristics affect the likelihood that an employee becomes an entrepreneur and how an entrepreneur’s social network affects their performance. His research has appeared in Administrative Science Quarterly, Organization Science, Harvard Business Review, and London School of Economics Business Review, and has been recognized by several awards.
Ederer, assistant professor of economics, received the Best Paper Award from INFORMS TIMES for “Is Pay for Performance Detrimental to Innovation?,” which he coauthored with Gustavo Manso. Each year, the award recognizes a paper chosen from among the most-cited articles published in INFORMS journals five years earlier—in this case, in 2013.
Ederer’s research is in the areas of organizational economics, innovation, social learning, and experimental economics. Some of his recent research focuses on how investors learn from and are influenced by the decisions of their peers. He has written a series of papers on how firms design compensation and performance evaluation schemes to motivate workers to innovate, on the design of incentive systems that prevent gaming, and on the optimal use of feedback mechanisms in organizations. Methodologically, he draws on a broad set of tools to most effectively address this set of research questions, often combining theoretical models with experimental evidence from the lab and the field.