Dr. Lisa Eckmann
Dr. Lisa Eckmann is a postdoctoral research associate at the Chair of Market and Consumer Psychology. She received her Ph.D. from the Faculty of Economics and Business in May 2022 for her dissertation "Experimental Research on Determinants of Consumer Preferences". Prior to her doctoral studies, she studied economics and business with a focus on marketing and management at Goethe University Frankfurt as well as consumer behavior and behavioral economics at the Wharton School, University of Pennsylvania.
Lisa Eckmann's research addresses questions at the intersection of marketing and psychology. Her work focuses on consumer psychology and behavior, especially the psychological processes that influence consumer judgments and preferences. In the domain of nonconsumption, she is particularly interested in examining the conditions under which individuals benefit from reducing their consumption.
Lisa Eckmann teaches primarily in the Master's program.
- Consumer psychology/behavior
- Preferences and (aesthetic) judgements
- Landwehr, J. R., & Eckmann, L. (2020). The Nature of Processing Fluency: Amplification versus Hedonic Marking. Journal of Experimental Social Psychology, 90. doi.org/10.1016/j.jesp.2020.103997
- Winkler, S., Eckmann, L., Landwehr, J. R., & Bornemann, T. (2022). On Temporarily Reducing Digital Consumption: Development of a Scale to Assess Digital Detox Intentions. Proceedings of the European Marketing Academy, 51.
- Eckmann, L., Landwehr, J. R., Högden, F., & Unkelbach, C. (2021). Attribute Conditioning in Brand Image Creation: Single versus Multiple Attributes. NA - Advances in Consumer Research, 49.
- Eckmann, L., & Landwehr, J. R. (2021). The Dual Role of Fluency in Shaping Brand Evaluations. Proceedings of the European Marketing Academy, 50.
- Eckmann, L., & Landwehr, J. R. (2020). Minimalism in Material Possessions: Theory and Measurement. NA - Advances in Consumer Research, 48.
Teaching at the Master's level
- Research seminar "Consumer Behavior"
- Workshop "Marketing Analytics Intro R"