Publikationen
2023
- Schoenmueller, V., Netzer, O. und Stahl, F. (2023). Frontiers: Polarized America: From political polarization to preference polarization. Marketing Science, 42, 48–60.
2021
- Förste, M., Nadj, M., Knäble, M., Mädche, A., Gehrmann, L. und Stahl, F. (2021). An interactive machine learning system for image advertisements. In , MuC '21: Proceedings of Mensch und Computer 2021 : Tagungsband (S. 574–577). , Association for Computing Machinery: New York, NY.
- Gehrmann, L., Kluge, S., Bayerl, A., Stahl, F., Knäble, M. und Mädche, A. (2021). Advertising information and communication technologies over time: An analysis of text and visual complexity. SSRN Working Paper Series. Rochester, NY.
2019
- Lanz, A. U., Goldenberg, J., Shapira, D. und Stahl, F. (2019). Climb or jump: status-based seeding in user-generated content network. Journal of Marketing Research : JMR, 56, 361–378.
2018
- Ansari, A., Stahl, F., Heitmann, M. und Bremer, L. (2018). Building a social network for success. Journal of Marketing Research : JMR, 55, 321–338.
- Gecer, G., Kraus, F. und Stahl, F. (2018). Maximizing customer lifetime value through strategic channel management: How to incentivize customers to use apps versus websites. In , 40th Annual ISMS Marketing Science Conference 2018 : Technical Session listing (S. 101). , INFORMS: Catonsville, MD.