Villarroel Ordenes, F., Packard, G., Hartmann, J., & Proserpio, D. (2025). Using Traditional Text Analysis and Large Language Models in Service Failure and Recovery. Journal of Service Research, 10946705241307678., Link
Feuerriegel, S., Maarouf, A., Bär, D., Geissler, D., Schweisthal, J., Pröllochs, N., Robertson, C. E., Rathje, S., Hartmann, J., Mohammad, S.M., Netzer, O., Slegel, A. A., Plank, B., & Van Bavel, J. J. (2025). Using natural language processing to analyse text data in behavioural science. Nature Reviews Psychology, 1-16, Link
Hartmann, J., Exner, Y., Domdey, S. (2024). The power of generative marketing: Can generative AI create superhuman visual marketing content?. International Journal of Research in Marketing, Forthcoming., Link
Krugmann, J. O., & Hartmann, J. (2024). Sentiment Analysis in the Age of Generative AI. Customer Needs and Solutions, 11(1), 1-19; Link
Lenk, J. D., Hartmann, J., & Sattler, H. (2024). White Americans’ preference for Black people in advertising has increased in the past 66 y: A meta-analysis. Proceedings of the National Academy of Sciences (PNAS), 121(9), e2307505121; Link
Feuerriegel, S., Hartmann, J., Janiesch, C., & Zschech, P. (2023). Generative AI. Business & Information Systems Engineering.66. 1-16; Link
Hartmann, J., Bergner, A., & Hildebrand, C. (2023). MindMiner: Uncovering Linguistic Markers of Mind Perception as a New Lens to Understand Consumer-Smart Object Relationships. Journal of Consumer Psychology, 33(4), 645-667. (FT50); Link
Hartmann, J., & Netzer, O. (2023). Natural language processing in marketing. In Artificial Intelligence in Marketing. 20, 191-215. Emerald Publishing Limited.; Link
Hartmann, J., Heitmann, M., Siebert, C., & Schamp, C. (2023). More than a feeling: Accuracy and application of sentiment analysis. International Journal of Research in Marketing, 40(1), 75–87. Link
Hartmann, J., Heitmann, M., Schamp, C., & Netzer, O. (2021). The power of brand selfies. Journal of Marketing Research, 58(6), 1159–1177. (FT50); Link
- Winner, 2021 Professor Herbert Jacob Doctoral Dissertation Award
- Winner, 2021 BVM/VMÖ/Swiss Insights Doctoral Dissertation Award
Schwenzow, J., Hartmann, J., Schikowsky, A., & Heitmann, M. (2021). Understanding videos at scale: How to extract insights for business research. Journal of Business Research, 123, 367–379; Link
Hartmann, J. (2021). Classification using decision tree ensembles. In The Machine Age of Customer Insight. Emerald Publishing Limited; Link
Hartmann, J., Huppertz, J., Schamp, C., & Heitmann, M. (2019). Comparing automated text classification methods. International Journal of Research in Marketing, 36(1), 20–38; Link
- Finalist, 2019 IJRM Best Paper Award
Working Paper
Exner, Y., Hartmann, J., Netzer, O. & Zhang, S. (2025). AI in disguise - How AI-generated ads' visual cues shape consumer perception and performance. Available at SSRN 5096969; Link
Hartmann, J., Netzer, O., & Zalta, R. (2023). Diversity in Advertising in Times of Racial Unrest. Available at SSRN 4466378; Link
- Winner, EMAC-Sheth Foundation Sustainability Award
- Winner, Laura Bassi Scholarship
Hartmann, J., Schwenzow, J., & Witte, M. (2023). The political ideology of conversational AI: Converging evidence on ChatGPT’s pro-environmental, left-libertarian orientation. arXiv Preprint arXiv:2301. 01768; Link
Hartmann, J., & Domdey, S. (2022). Automated Image Analysis (AIA). Available at SSRN 4189586; Link
Tetzlaff, K., Hartmann, J., & Heitmann, M. (2023). The Bigger Picture: A Comprehensive Review and Recommendations for Automated Image Classification in Marketing. Available at SSRN 4224968; Link
Rosada, J., Hartmann, J., Schwenzow, J., & Heitmann, M. (2022). Be Careful What You Look for: Tagged Social Media Content Biases Brand Analyses. Available at SSRN 4157222; Link