Publications
With our publications we cover the most diverse research areas that arise in the field of man, task and technology. In addition to traditional Business Information Systems topics such as knowledge management and business process management, you will also find articles on current topics such as blended learning, cloud computing or smart grids. Use this overview to get an impression of the range and possibilities of research in Business Information Systems at the University of Duisburg-Essen.
Type of Publication: Article in Collected Edition
Entrepreneurial Framing and Negotiations of Product Boundaries: A Qualitative Study on the Social Construction of Product Innovation in AI Ventures
- Author(s):
- Zebhauser, Jonathan; Rothe, Hannes; Sundermeier, Janina; Koranteng, Samuel
- Title of Anthology:
- Proceedings of the International Conference on Information Systems
- Publication Date:
- 2023
- Link to complete version:
- https://aisel.aisnet.org/icis2023/diginnoventren/diginnoventren/17/
- Citation:
- Download BibTeX
Abstract
The diffusion of AI-technology disrupts labor and industries and gives rise to a diverse range of new ventures and product innovations. Such product innovations involve the negotiation of product boundaries among actors in innovation networks, including ventures, investors, and customers. These negotiations consist of social and cognitive translations. For digital products, actors share a common understanding of resource configuration, mainly based on cognitive resonance. However, AI-driven products introduce the “black-box” problem that hinders cognitive translation-based negotiations within innovation networks, as they are not fully cognitively traceable, but emotionally resonant. Using a qualitative research approach and the notion of entrepreneurial framing, we investigate the impact of AI on the negotiation of product boundaries and digital innovation. We reveal that AI-ventures, to maintain ”cognitive” superiority, focus on cutting-edge technology while limiting negotiation to non-technology aspects, such as revenue streams and business models, creating ”cognitive moats” for non-expert actors.