Nina Mažar, University of Toronto, Rotman School of Management (image) University of Toronto, Rotman School of Management Share Print E-Mail Caption Nina Mažar is an associate professor of marketing at the University of Toronto's Rotman School of Management. A behavioral scientist, she has been named as one of 'The 40 Most Outstanding B-School Profs Under 40 In The World' by the business education website Poets&Quants in 2014. With her focus on behavioral economics, she investigates consumer behavior and how it deviates from standard economic assumptions. In addition, she studies moral decision-making and its implications for policy. Her research topics range from irrational attraction to free products, the paradoxes of green behavior to temptations to be dishonest. She was nominated for the SSHRC Aurora Prize for 'Outstanding New Researcher,' and she is the recipient of several teaching and research awards, including the Rotman Dean's Award for Excellence in Research and the William F. O''Dell Award of AMA's Journal of Marketing Research (for having made the most significant, long-term contribution to marketing theory, methodology, and/or practice with her 2008 JMR paper on Dishonesty). She has published her research in leading academic journals like the Journal of Marketing Research, Psychological Sciences, Review of Economic Studies, and the Proceedings of the National Academy of Sciences. Popular accounts of her work have appeared among others on NPR, BBC, in the New York Times, Financial Times, Wired, and her research has been featured in Harvard Business Review's Breakthrough Ideas. Nina is also a sought-after applied researcher, consultant, and public speaker. Speaking engagements include the European Commission, the Canada Revenue Agency, and Google Ventures. Credit Nina Mažar Usage Restrictions None Share Print E-Mail Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.