dr. D.R. (Dan) Schley
My general research interests revolve around the integration of psychology and economics within marketing. My work often straddles between experimental approaches (e.g., A/B testing) and complex statistical modeling. I study the determinants of individuals' judgments and decision making (JDM), primarily with regard to how the mind processes seemingly objective information. For example, numbers should be objective, but people treat numbers in a very subjective manner. By understanding the subjectivity of our objective world, we can better develop theories and applicable tools to guide people through complicated choices.
Publications
Article (14)
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Academic (14)
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Schley, D., De Langhe, B., & Long, AR. (2020). System 1 Is Not Scope Insensitive: A New, Dual-Process Account of Subjective Value. Journal of Consumer Research, 47(4), 566-587. https://doi.org/10.1093/jcr/ucaa015
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Turner, BM., Schley, D., Muller, C., & Tsetsos, K. (2018). Competing theories of multi-alternative, multiattribute preferential choice. Psychological Review, 125(3), 329-362. https://doi.org/10.1037/rev0000089
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Schley, D., Lembregts, C., & Peters, E. (2017). The Role of Evaluation Mode on the Unit Effect. Journal of Consumer Psychology, 27(2), 278-286. https://doi.org/10.1016/j.jcps.2016.07.001
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Peters, E., Shoots-Reinhard, B., Tompkins, MK., Schley, D., Meilleur, L., Sinayev, A., Tusler, M., Wagner, L., & Crocker, J. (2017). Improving numeracy through values affirmation enhances decision and STEM outcomes. PLoS One (print), 12(7), Article e0180674. https://doi.org/10.1371/journal.pone.0180674
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DeKay, MD., Schley, D., Miller, SA., Erford, BM., Sun, J., Karim, MN., & Lanyon, MB. (2016). The Persistence of Common-Ratio Effects in Multiple-Play Decisions. Judgment and Decision Making, 11(4), 361-379. http://hdl.handle.net/1765/100525
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Turner, BM., & Schley, D. (2016). The Anchor Integration Model: A Descriptive Model of Anchoring Effects. Cognitive Psychology, 90(November), 1-47. https://doi.org/10.1016/j.cogpsych.2016.07.003
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Schley, D., & DeKay, ML. (2015). Cognitive Accessibility in Judgments of Household Energy Consumption. Journal of Environmental Psychology, 43, 30-41. https://doi.org/10.1016/j.jenvp.2015.05.004
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DeKay, ML., Miller, SA., Schley, D., & Erford, BM. (2014). Proleader and Antitrailer Information Distortion and their Effects on Choice and Postchoice Memory. Organizational Behavior and Human Decision Processes, 125(2), 134-150. https://doi.org/10.1016/j.obhdp.2014.07.003
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Schley, D., & Fujita, K. (2014). Seeing the Math in the Story: On How Abstraction Promotes Performance on Mathematical Word Problems. Social Psychological and Personality Science, 5(8), 953-961. https://doi.org/10.1177/1948550614539519
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Schley, D., & Peters, E. (2014). Assessing ‘Economic Value’ Symbolic-Number Mappings Predicts Risky and Riskless Valuations. Psychological Science, 22, 1-9. https://doi.org/10.1177/0956797613515485
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Kagel, JH., & Schley, D. (2013). How Economic Rewards Affect Cooperation Reconsidered. Economics Letters, 121(1), 124-127. https://doi.org/10.1016/j.econlet.2013.07.012
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Brunell, AB., Davis, MD., Schley, D., Eng, AL., van Dulmen, MHM., Wester, KL., & Flannery, DJ. (2012). A New Measure of Interpersonal Exploitativeness. Frontiers in Psychology, 4, 1-9. https://doi.org/10.3389%2Ffpsyg.2013.00299
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Peters, E., Kunreuther, H., Sagara, N., Slovic, P., & Schley, D. (2012). Protective Measures, Personal Experience, and the Affective Psychology of Time. Risk Analysis, 32(12), 2084-2097. https://doi.org/10.1111/j.1539-6924.2012.01810.x
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Meyers, SF., Schley, D., & Fantino, E. (2011). The Role of Context in Risky Choice. Behavioural Processes, 87(1), 100-105. https://doi.org/10.1016/j.beproc.2011.01.010
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Doctoral Thesis (1)
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External (1)
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Schley, D. (2015). Symbolic-Number Mapping in Judgments and Decisions: A Correlational and Experimental Approach. [Doctoral Thesis, Ohio State University]. The Ohio State University.
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PhD Tracks (2)
- Role: Co-promotor
- PhD Candidate: Marina Lenkovskaya
- Time frame: 2021 -
- Role: Co-promotor
- PhD Candidate: Ting-Yi Lin
- Time frame: 2021 -
Courses (3)
- Specialization Module on Consumer Behavior (2023/2024)
Past
- Experimental Methods in Business Research (2022/2023, 2021/2022)
- Multilevel Models (2022/2023)
PhD Vacancy (1)
The Marketing group at Rotterdam School of Management, Erasmus University seeks a highly motivated PhD student with strong quantitative skills to study the problem of algorithmic biases in marketing.
As machines are trained to analyse complex problems, many tasks that previously required humans are now guided by Artificial Intelligence. Marketing is no exception in this domain. Increasingly, companies use algorithms to design targeted marketing campaigns. Causal Machine Learning is an emerging research field that can learn the causal effect of an intervention and how it varies within a population based on a large set of potential moderating variables. Its use in marketing has been rapidly growing over the last years (Lemmens and Gupta 2020; Esterzon, Lemmens, Van den Bergh 2023).
Unfortunately, algorithms can be discriminatory. The number of cases reporting biases in algorithms has exploded. Algorithms reproduce and amplify biases present in human decisions. They may even inadvertently create new discriminatory outcomes.
This PhD project ambitions to tackle this crucial managerial and societal challenge. The goal will be to better understand the problem of algorithmic biases in the context of targeting marketing campaigns and to develop a novel methodological framework to design effective and fair personalized policies. The project will include large-scale field experiments in collaboration with company partners.
Strong applicants typically have backgrounds in computer science, statistics or econometrics but should have an intrinsic interest for marketing problems. The PhD will be supervised by Prof. Dr. Aurélie Lemmens and funded by a VICI NWO grant.
Events (50)
Award (1)
- RSM Funding Award - 2018 (2018)
Address
Office: Mandeville Building T10-30
Burgemeester Oudlaan 50
3062 PA Rotterdam
Postbus 1738
3000 DR Rotterdam
Netherlands
