Profile
My research interests lie at the intersection between behavioral decision making and marketing research. Generally, I study decision heuristics and biases in marketing contexts, and devise individual-specific strategies aimed to overcome these biases. Theoretically, I draw from behavioral decision theory, which describes how individuals incorporate their set of beliefs and values into their decisions. Methodologically, I utilize experimental economics techniques and Bayesian analysis to understand and predict individual level behavior. My work is divided into two streams of research: (1) to investigate decision makers’ learning behavior and related decision heuristics and biases; and (2) to apply Bayesian models of heterogeneity to understand individual-level behavior. For more information, see my resume.
Publications
Article (5)
Academic (5)
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Ferecatu, A., De Bruyn, A., & Mukherjee, P. (2024). Silently killing your panelists one email at a time: The true cost of email solicitations. Journal of the Academy of Marketing Science, 52(4), 1216-1239. https://doi.org/10.1007/s11747-023-00992-w
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Bolton, G. E., Ferecatu, A., & Kusterer, D. J. (2024). Rate This Transaction: Coordinating Mappings in Market Feedback Systems. Management Science, 70(1), 567-588. https://doi.org/10.1287/mnsc.2023.4694
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Liberali, G., & Ferecatu, A. (2022). Morphing for Consumer Dynamics: Bandits Meet Hidden Markov Models. Marketing Science, 41(4), 341-366. https://doi.org/10.1287/mksc.2021.1346
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Ferecatu, A., & De Bruyn, A. (2021). Understanding Managers’ Trade-Offs Between Exploration and Exploitation. Marketing Science, 41(1), 139-165. https://doi.org/10.1287/mksc.2021.1304, https://doi.org/10.1287/mksc.2021.1304
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Ferecatu, A., & Onculer, A. (2016). Heterogeneous Risk and Time Preferences. Journal of Risk and Uncertainty, Article 53(1). https://doi.org/10.1007/s11166-016-9243-x
Courses
Topics in Marketing Research A
- Study year: 2024/2025
- Code: BERMASC054
- Level: PhD
Marketing Honours Class
- Study year: 2024/2025, 2023/2024, 2022/2023
- Code: BMHONMM
- Level: Master, Master, Master, Master
Pricing: Creating and Capturing Value
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017
- Code: BMME100
- Level: Master, Master, Master, Master
Past courses
Current Topics in Marketing Research
- Study year: 2022/2023, 2021/2022
- Code: BERMASC040
- ECTS: 5 Level: PhD
Digital Marketing Strategy
- Study year: 2022/2023, 2021/2022, 2020/2021
- Code: BMME056
- Level: Master, Master, Master, Master
Consumer Marketing Research
- Study year: 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016
- Code: BM02MM
- ECTS: 4 Level: ERIM, Exchange, IM/CEMS, Master
Advanced Marketing Decision Models
- Study year: 2019/2020
- Code: BERMASC044
- ECTS: 4 Level: Master
Introduction to data visualization, web scraping, and text analysis in R
- Study year: 2018/2019
- Code: BERMSS018
- ECTS: 2 Level: Master
Advanced Marketing Decision Models
- Study year: 2016/2017
- Code: BERMASC041
- ECTS: 7 Level: Master
Featured in the media
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Business school RSM hosting open day for professionals
This Saturday RSM, according to the Financial Times one of Europe’s top 10 business schools, is organising an open day for professionals aimed at helping them gain insight in how they can further develop their business skills. On…
Friday, 12 May 2017 -
Business school RSM organiseert open dag voor professionals
This Saturday RSM, according to the Financial Times one of Europe’s top 10 business schools, is organising an open day for professionals aimed at helping them gain insight in how they can further develop their business skills. On…
Thursday, 11 May 2017
