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Department of Business and Economics

Strategies in generative AI platform ecosystems

This research project examines firms that participate in Generative AI platform ecosystems to build solutions for customers. For these firms, generative AI models are an important lever for the novel value creation. Some companies build customer solutions with generative AI APIs or by running a model in Microsoft Azure or Amazon Bedrock. Others offer a “GPT” on ChatGPT or Microsoft Copilot.

Participating in a generative AI ecosystem requires unique strategies. We are studying the distinct strategies and growth trajectories of firms that successfully participate in generative AI platform ecosystems.

The project manager is Prof. Dr. Manuel Wiesche

The contact person for questions or cooperation offers is Vincent Heimburg

Sources

Feuerriegel, S., Hartmann, J., Janiesch, C., & Zschech, P. (2024). Generative ai. Business & Information Systems Engineering66(1), 111-126.

Schmidt, R., Alt, R., & Zimmermann, A. (2023). Assistant platforms. Electronic Markets33(1), 59.

Tao, G., Cheng, S., Zhang, Z., Zhu, J., Shen, G., & Zhang, X. (2023). Opening A Pandora's Box: Things You Should Know in the Era of Custom GPTs. arXiv preprint arXiv:2401.00905.

Zhang, Z., Zhang, L., Yuan, X., Zhang, A., Xu, M., & Qian, F. (2024). A First Look at GPT Apps: Landscape and Vulnerability. arXiv preprint arXiv:2402.15105.

Key partners

University of Innsbruck

JuliusAI

VideoInsights

Flashka

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