Dr. A. (Anne-Kathrin) Klesse

Rotterdam School of Management (RSM)
Erasmus University Rotterdam
Member ERIM
Field: Marketing
Affiliated since 2016

Anne-Kathrin Klesse obtained her PhD from Maastricht University and then worked at Tilburg University as an Assistant Professor in Marketing. In October 2016, she joined Rotterdam School of Management, Erasmus University. She frequently spent time at Stanford Graduate School of Business as a visiting scholar. 

In her research, Anne-Kathrin studies consumer judgement and decision making, with a specific focus on how technology augments human behavior. In one stream of research, she explores whether different device interfaces (e.g., voice-operated versus touch-, or click-operated) prompt different decisions. In another stream, she focuses on understanding human lay beliefs and behavior related to algorithms, AI, and GenAI. Because of the later, she has been invited to become the academic director of the Psychology of AI lab at the Erasmus Centre for Data Analytics (ECDA).

Her research has been awarded with the prestigious VENI grant (by NWO) and was published in leading Marketing journals, such as Journal of Consumer Research (JCR), Journal of Marketing Research (JMR), and Journal of Marketing (JM). 

Anne-Kathrin currently serves at the Editorial Review Board for the International Journal of Research in Marketing (IJRM) and JM. 

She is the PhD program coordinator of her department, coordinates the Behavioral Experts track in the (International) Business Administration Bachelor's programme (BA/IBA), and teaches a module on Technology-Augmented Behavior. 

Publications

  • Academic (9)
    • Celiktutan, B., Klesse, A. K., & Tuk, M. A. (2024). Acceptability lies in the eye of the beholder: Self-other biases in GenAI collaborations. International Journal of Research in Marketing. Advance online publication. https://doi.org/10.1016/j.ijresmar.2024.05.006

    • Zhang, Y., Tuk, M., & Klesse, A. K. (Accepted/In press). Giving AI a Human Touch: Highlighting Human Input Increases the Perceived Helpfulness of Advice From AI Coaches. Journal of the Association for Consumer Research, 9(3), 344-356. https://doi.org/10.1086/730710

    • Emily Garbinsky , & Klesse, A. K. (2021). How (and When) the Presence of Food Decreases Enjoyment of Customer Experiences. Journal of Marketing Research, 58(4), 705-720. https://doi.org/10.1177%2F00222437211010465

    • Klesse, A. K., Cornil, Y., Dahl, DW., & Gros, N. (2019). The Secret Ingredient Is Me: Customization Prompts Self-Image-Consistent Product Perceptions. Journal of Marketing Research, 56(5), 879-893. https://doi.org/10.1177/0022243719846063

    • Gai, PJ., & Klesse, A. K. (2019). Making Recommendations More Effective Through Framings: Impacts of User- versus Item-Based Framings on Recommendation Click-Throughs. Journal of Marketing, 83(6), 61-75. https://doi.org/10.1177/0022242919873901

    • Geipel, J., Hadjichristidis, C., & Klesse, A. K. (2018). Barriers to sustainable consumption attenuated by foreign language use. Nature Sustainability, 2018(1), 31-33. https://doi.org/10.1038/s41893-017-0005-9

    • Klesse, A. K., Levav, J., & Goukens, C. (2015). The Effect of Preference Expression Modalities on Self-Control. Journal of Consumer Research, 42(4), 535-50.

    • Garbinsky, EN., Klesse, A. K., & Aaker, J. (2014). Money in the Bank: Feeling Powerful Increases Saving. Journal of Consumer Research, 38(6), 1047-62.

    • Klesse, A. K., Goukens, C., Geyskens, K., & de Ruyter, K. (2012). Repeated Exposure to the Thin Ideal and Implications for the Self: Two Weight Loss Program Studies. International Journal of Research in Marketing, 29(4), 355-62.

  • Academic (1)
    • Klesse, A. K., Zhang, Y., & Tuk, M. (Accepted/In press). Algorithm Aversion. In Elgar Encyclopedia of Consumer Behaviour Edward Elgar Publishing.

  • Academic (1)
    • Goukens, C., & Klesse, A. K. (2022). Internal and external forces that prevent (vs. Facilitate) healthy eating: Review and outlook within consumer Psychology. Current Opinion in Psychology, 46, Article 101328. https://doi.org/10.1016/j.copsyc.2022.101328

  • Role: Daily Supervisor
  • PhD Candidate: Gizem Yalcin
  • Time frame: 2017 - 2022
  • Role: Co-promotor
  • PhD Candidate: Begum Celiktutan
  • Time frame: 2020 -
  • Role: Co-promotor
  • PhD Candidate: Marina Lenkovskaya
  • Time frame: 2021 -
  • Role: Co-promotor
  • PhD Candidate: Ting-Yi Lin
  • Time frame: 2021 -
Loneliness in the Age of AI: Essays on AI-Enabled Personalization and Social Connection
  • Role: Promotor
  • PhD Candidate: Ragna-Britt Taube
  • Time frame: 2022 -

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. AurĂ©lie Lemmens  and funded by a VICI NWO grant.

Read more

Address

Visiting address

Office: Mandeville Building T10-38
Burgemeester Oudlaan 50
3062 PA Rotterdam

Postal address

Postbus 1738
3000 DR Rotterdam
Netherlands