Gewinnen Sie Verbrauchereinblicke mit generativer KI

1. N. Arora, I. Chakraborty und Y. Nishimura, „AI-Human Hybrids for Marketing Research: Leveraging Large Language Models (LLMs) as Collaborators“, Journal of Marketing 89, Nr. 2 (März 2025): 43-70, https://doi.org/10.1177/00222429241276529; und „Global Market Research Report“ (Esomar, 2025).

2. K. Zhang, X. Yang, Y. Wang et al., „Artificial Intelligence in Drug Development“, Nature Medicine 31, Nr. 1 (Januar 2025): 45-59, https://doi.org/10.1038/s41591-024-03434-4.

3. G. Aher, R.I. Arriaga und A.T. Kalai, „Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies“, in ICML ’23: Proceedings of the 40th International Conference on Machine Learning (JMLR.org, Juli 2023), 337-371; und L.P. Argyle, E.C. Busby, N. Fulda et al., „Out of One, Many: Using Language Models to Simulate Human Samples“, Political Analysis 31, Nr. 3 (Juli 2023): 337-351, https://doi.org/10.1017/pan.2023.2.

4. O. Toubia, G.Z. Gui, T. Peng et al., „Database Report: Twin-2K-500: A Data Set for Building Digital Twins of Over 2,000 People Based on Their Answers to Over 500 Questions“, Marketing Science 44, Nr. 6 (November-Dezember 2025): 1446-1455, https://doi.org/10.1287/mksc.2025.0262.

5. A.R. Andreasen, „‘Backward’ Market Research“, Harvard Business Review 63, Nr. 3 (Mai 1985): 176-182.

6. D. Jurafsky und J.H. Martin, „Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition With Language Models“, 3. Aufl. (Entwurf), PDF-Datei (Selbstverlag, August 2025), https://web.stanford.edu.

7. E. Brynjolfsson, B. Chandar und R. Chen, „Canaries in the Coal Mine? Six Facts About the Recent Employment Effects of Artificial Intelligence“, Arbeitspapier, Stanford Digital Economy Lab, August 2025.