More information

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

Academic (3)

Academic (1)
  • Liberali, G., & Ferecatu, A. (2021). Morphing for Consumer Dynamics: Bandits Meet HMM.

Courses

Current Topics in Marketing Research

  • Study year: 2022/2023, 2021/2022
  • Code: BERMASC040
  • ECTS: 5 Level: Master, PhD

Past courses

Digital Marketing Strategy

  • Study year: 2021/2022, 2020/2021
  • Code: BMME056
  • Level: Master, Master, Master, Master

Pricing: Creating and Capturing Value

  • Study year: 2021/2022, 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017
  • Code: BMME100
  • 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

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