dr. G. (Gabriele) Paolacci

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 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 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 Psychology & Business (M.Sc.) and Influencing People: Psychology and Practice (undergraduate). For more information download his CV or check www.gabrielepaolacci.com.

Publications

Article (19)

Academic (17)
- Paolacci, G., & Yalcin, G. (2020). Fewer but Poorer: Benevolent Partiality in Prosocial Preferences. Judgment and Decision Making, 15(2), 173-181.
- Paolacci, G., & Chandler, J. (2018). Direct replications in the era of open sampling (commentary on “Making replication mainstream” by Zwaan, Etz, Lucas, and Donnellan). Behavioral and Brain Sciences, 41(2018), E144. https://doi.org/10.1017/S0140525X18000808
- Leung, E., Paolacci, G., & Puntoni, S. (2018). Man Versus Machine: Resisting Automation in Identity-Based Consumer Behavior. Journal of Marketing Research, 55(6), 818-831. https://doi.org/10.1509/jmr.16.0443
- Rick, S., Paolacci, G., & Burson, K. K. (2018). Income Tax and the Motivation to Work. Journal of Behavioral Decision Making, 31(5), 619-631. https://doi.org/10.1002/bdm.2078
- Stewart, N., Chandler, J., & Paolacci, G. (2017). Crowdsourcing Samples in Cognitive Science. Trends in Cognitive Sciences, 21(10), 736-748. https://doi.org/10.1016/j.tics.2017.06.007
- Zwaan, R., Pecher, D., Paolacci, G., Bouwmeester, S., Verkoeijen, P., Dijkstra, K., & Zeelenberg, R. (2017). Participant Nonnaiveté and the reproducibility of cognitive psychology. Psychonomic Bulletin & Review, 25(5), 1968-1972. https://doi.org/10.3758/s13423-017-1348-y
- Goodman, JK., & Paolacci, G. (2017). Crowdsourcing Consumer Research. Journal of Consumer Research, 44(1), 196-210. https://doi.org/10.1093/jcr/ucx047
- Chandler, J., & Paolacci, G. (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. https://doi.org/10.1177/1948550617698203
- Stewart, N., Ungemach, C., Harris, A., Bartels, D., Newell, B., Paolacci, G., & Chandler, J. (2015). The Average Laboratory Samples a Population of 7,300 Amazon Mechanical Turk Workers. Judgment and Decision Making, 10(5), 479-491.
- Chandler, J., Paolacci, G., Peer, E., Mueller, P., & Ratliff, KA. (2015). Using nonnaive participants can reduce effect sizes. Psychological Science, 26(7), 1131-1139. https://doi.org/10.1177/0956797615585115
- Paolacci, G., Straeter, L., & Hooge, IE. (2015). Give Me Your Self: Gifts are Liked More When They Match the Giver's Characteristics. Journal of Consumer Psychology, 25(3), 487-494. https://doi.org/10.1016/j.jcps.2015.01.006
- Dannenberg, A., Löschel, A., Paolacci, G., Reif, C., & Tavoni, A. (2015). On the Provision of Public Goods with Probabilistic and Ambiguous Thresholds. Environmental and Resource Economics, 61(3), 365-383. https://doi.org/10.1007/s10640-014-9796-6
- Sweldens, S., Puntoni, S., Paolacci, G., & Vissers, M. (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. https://doi.org/10.1016/j.obhdp.2014.03.007
- Paolacci, G., & Chandler, J. (2014). Inside the Turk: Understanding Mechanical Turk as a Participant Pool. Current Directions in Psychological Science, 23(3), 184-188. https://doi.org/10.1177/0963721414531598
- Chandler, J., Mueller, P., & Paolacci, G. (2013). Nonnaïveté Among Amazon Mechanical Turk Workers: Consequences and Solutions for Behavioral Researchers. Behavior Research Methods, 46(1), 112-130. https://doi.org/10.3758/s13428-013-0365-7
- Paolacci, G., Burson, K. K., & Rick, S. (2011). The intermediate alternative effect: Considering a small tradeoff increases subsequent willingness to make large tradeoffs. Journal of Consumer Psychology, 21(4), 384-392. https://doi.org/10.1016/j.jcps.2011.04.005
- Paolacci, G., Chandler, J., & Ipeirotis, P. (2010). Running experiments on Amazon Mechanical Turk. Judgment and Decision Making, 5(5), 411-419. http://hdl.handle.net/1765/97680
Professional (2)
- Paolacci, G. (2018). Crowdsourced consumer data: how do we make sure it's good? RSM Discovery - Management Knowledge, 34(2), 10-11. http://hdl.handle.net/1765/108776
- Paolacci, G. (2015). Consumer insights: think of yourself when buying for others. RSM Discovery - Management Knowledge, 23(3), 12-13. http://hdl.handle.net/1765/78691

Chapter (2)

Academic (2)
- Leung, E., Paolacci, G., & Puntoni, S. (2019). How technology shapes identity-based consumer behavior. In Handbook of Research on Identity Theory in Marketing (pp. 240-254). Edward Elgar Publishing. https://doi.org/10.4337/9781788117739.00027
- Chandler, J., Paolacci, G., & Mueller, P. (2013). Risks and Rewards of Crowdsourcing Marketplaces. In P. Michelucci (Ed.), Handbook of Human Computation (pp. 377-392). Springer. http://hdl.handle.net/1765/51293