arXiv:2609.15277v1 Announce Type: cross
Abstract: Entrepreneurial cognition is a foundation of entrepreneurship research. Yet the growing involvement of large language models (LLMs) in entrepreneuria...
By Christian Fisch, Angela Altmeier, Martin Obschonka, Michal Kosinski, Pin Ni
The study examines how back‑office employees at a large firm use generative AI (genAI) and finds that senior staff use it more sophisticatedly, likely because of their domain expertise. Sophistication differs across functions, peaking in Strategy, Digital Innovation, and Project Management—areas focused on firm‑wide strategic initiatives. The research also shows that sophistication does not improve over time or as a result of formal AI training, indicating that advanced use is hard to change.
By Nicholas J. Hallman, Zachary T. Kowaleski, Anu Puvvada, Jaime J. Schmidt
arXiv:2608. 07500v1 Announce Type: cross Abstract: Research on human-GenAI collaboration yields conflicting findings: GenAI can enhance creativity yet reduce collective diversity, with uneven benefits across skill levels.
By Yoram M Kalman, Yun Wan
arXiv:2606. 26114v1 Announce Type: cross Abstract: We examine the structural transformation of creative industries under generative artificial intelligence, drawing on 374 primary sources spanning policy documents, industry data, creator surveys, and platform analytics.
By Peter Woodbridge, John J. O'Hare
arXiv:2608. 00151v2 Announce Type: replace-cross Abstract: Current evaluation frameworks for artificial intelligence focus mainly on capability, safety, and proxies such as adoption, engagement, efficiency, productivity, and financial return.
By Keyun Ruan, Jonathan D. Teubner, John M. Bremen
arXiv:2601. 15797v2 Announce Type: replace Abstract: Many theorists maintain that conscious intentional agency is a necessary condition of creativity.
By James S. Pearson, Matthew J. Dennis, Marc Cheong