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Biography

Gabriele Paolacci is an Associate Professor of Marketing at Rotterdam School of Management, Erasmus University. Gabriele joined RSM after graduate studies at Ca' Foscari University of Venice (where he got his PhD) and at Ross School of Business, University of Michigan (where he was a visiting scholar).

In his research, Gabriele's focuses on substantive and methodological issues in consumer judgment and decision-making. Within the substantive domain, he studies how people’s decisions seemingly contradict the assumptions and prescriptions of rational choice theory. He also conducts empirical research into the practices of data collection in the behavioral sciences. He has investigated whether crowdsourced samples (e.g., MTurk workers) provide data of high quality, and how to attenuate their distinctive threats to experimental validity (e.g., nonnaive participants, study impostors). He is an advocate of open science practices.

Gabriele's research has been published in leading journals in marketing (e.g., Journal of Marketing Research, Journal of Consumer Research, Journal of Consumer Psychology), management (Management Science, Organizational Behavior and Human Decision Processes), psychology (e.g., Psychological Science, Journal of Personality and Social Psychology, Trends in Cognitive Sciences), and beyond. Gabriele is the recipient of a VENI research grant by NWO, as well as of several ERIM Research Awards (2015 Outstanding Performance by a Young Researcher Award, 2018 Top Article Impact Award, 2020 Open Science Award).

He is currently an Associate Editor at Psychological Science, and a member of the editorial review board of the Journal of Consumer Research and the Journal of Consumer Psychology. 

Gabriele currently teaches People & Organisations (MSc), Influencing People: Psychology and Practice (undergraduate), and Breaking Bias: Marketing for Positive Change (undergraduate). He frequently coaches and gives workshops on managerial decision-making to MBA and EMBA students, and co-teaches an executive program titled "Leading with Decision Driven Analytics".

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