dr. G. (Gabriele) Paolacci

Associate Professor

Department of Marketing Management

Rotterdam School of Management (RSM)

Erasmus University Rotterdam

Member ERIM

Field: Marketing

Affiliated since 2012

T: +31 10 4081715

E: gpaolacci@rsm.nl

Gabriele Paolacci is 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 consumer judgment and decision-making and on the methodology of data collection in behavioral science. His research has been published in journals such as Journal of Consumer Research, Journal of Marketing Research, Psychological Science, Journal of Consumer Psychology, Organizational Behavior and Human Decision Processes, Trends in Cognitive Sciences. He is a recipient of a VENI research grant, and currently teaches Managerial Decision-Making and Negotiation (M.Sc.) and Influencing People: Psychology and Practice (undergraduate).

Publications (18)

Articles (15)

E. Leung, G. Paolacci & S. Puntoni (2018). Man Versus Machine: Resisting Automation in Identity-Based Consumer Behavior. Journal of Marketing Research. doi: 10.1509/jmr.16.0443
S. Rick, G. Paolacci & K. Burson (2018). Income Tax and the Motivation to Work. Journal of Behavioral Decision Making, Accepted. doi: 10.1002/bdm.2078
R.A. Zwaan, D. Pecher, G. Paolacci, S. Bouwmeester, P.P.J.L. Verkoeijen, K. Dijkstra & R. Zeelenberg (2018). Participant Nonnaivete and the Reproducibility of Cognitive Psychology. Psychonomic Bulletin & Review, 25 (5), 1968-1972. doi: 10.3758/s13423-017-1348-y
N. Stewart, J. Chandler & G. Paolacci (2017). Crowdsourcing Samples in Cognitive Science. Trends in Cognitive Sciences, 21 (10), 736-748. doi: http://dx.doi.org/10.1016/j.tics.2017.06.007
J. Chandler & G. Paolacci (2017). Lie for a Dime: When most prescreening responses are honest but most study participants are imposters. Social Psychological and Personality Science, 8 (5), 500-508. doi: http://dx.doi.org/10.1177/1948550617698203
J.K. Goodman & G. Paolacci (2017). Crowdsourcing Consumer Research. Journal of Consumer Research, 44 (1), 196-210. doi: http://dx.doi.org/10.1093/jcr/ucx047
N. Stewart, C. Ungemach, A. Harris, D. Bartels, B. Newell, G. Paolacci & J. Chandler (2015). The Average Laboratory Samples a Population of 7,300 Amazon Mechanical Turk Workers. Judgment and decision making, 10 (5), 479-491.
J. Chandler, G. Paolacci, E. Peer, P. Mueller & K.A. Ratliff (2015). Using nonnaive participants can reduce effect sizes. Psychological Science, 26 (7), 1131-1139. doi: http://dx.doi.org/10.1177/0956797615585115
A. Dannenberg, A. Löschel, G. Paolacci, C. Reif & A. Tavoni (2015). On the Provision of Public Goods with Probabilistic and Ambiguous Thresholds. Environmental and Resource Economics, 61 (3), 365-383. doi: http://dx.doi.org/10.1007/s10640-014-9796-6
G. Paolacci, L.M. Straeter & I.E. de Hooge (2015). Give Me Your Self: Gifts are Liked More When They Match the Giver's Characteristics. Journal of Consumer Psychology, 25 (3), 487-494. doi: http://dx.doi.org/10.1016/j.jcps.2015.01.006
G. Paolacci & J. Chandler (2014). Inside the Turk: Understanding Mechanical Turk as a Participant Pool. Current Directions in Psychological Science, 23 (3), 184-188. doi: http://dx.doi.org/10.1177/0963721414531598
J. Chandler, P. Mueller & G. Paolacci (2014). Nonnaïveté Among Amazon Mechanical Turk Workers: Consequences and Solutions for Behavioral Researchers. Behavior Research Methods, 46 (1), 112-130. doi: http://dx.doi.org/10.3758/s13428-013-0365-7
S.T.L.R. Sweldens, S. Puntoni, G. Paolacci & M. Vissers (2014). The Bias in the Bias: Comparative Optimism as a Function of Event Social Undesirability. Organizational Behavior and Human Decision Processes, 124 (2), 229-244. doi: http://dx.doi.org/10.1016/j.obhdp.2014.03.007
G. Paolacci, K. Burson & S. Rick (2011). The intermediate alternative effect: Considering a small tradeoff increases subsequent willingness to make large tradeoffs. Journal of Consumer Psychology, 21 (4), 384-392. doi: http://dx.doi.org/10.1016/j.jcps.2011.04.005
G. Paolacci, J. Chandler & P. Ipeirotis (2010). Running experiments on Amazon Mechanical Turk. Judgment and decision making, 5 (5), 411-419.

Book Contributions

J. Chandler, G. Paolacci & P. Mueller (2013). Risks and Rewards of Crowdsourcing Marketplaces. In Pietro Michelucci (Ed.), Handbook of Human Computation (pp. 377-392). Springer