Towards the Data Sharing Advisor – Leveraging Large Language Models to Assess the Business Potentials and Potential Pitfalls for Data Sharing

Authors

• Jens F. Lachenmaier, Ferdinand-Steinbeis-InstitutFollow
• Maximilian Werling, Ferdinand-Steinbeis-InstitutFollow
• Kim Stuber, University of StuttgartFollow
• Dimitri Petrik, University of StuttgartFollow

Recommended Citation

Lachenmaier, Jens F.; Werling, Maximilian; Stuber, Kim; and Petrik, Dimitri, "Towards the Data Sharing Advisor – Leveraging Large Language Models to Assess the Business Potentials and Potential Pitfalls for Data Sharing" (2026). SIGSVC Workshop 2025 proceedings. 8.
https://aisel.aisnet.org/sprouts_proceedings_sigsvc_2025/8