Dear Colleagues,
The next Entrepreneurship and Innovation Policy Research virtual seminar is Wednesday, December 13, from 11:00-12:00 ET. Nur Ahmed (MIT) - will present " Scientific Labor Market and Firm-level Appropriation Strategy in Artificial Intelligence Research". Click HERE to register for the 12/13 seminar (abstract is below). We hope you join us.
Please visit this LINK to view and register for upcoming Spring 2024 seminars.
- Tim Folta (UCONN), Maryann Feldman (ASU), and Supradeep Dutta (Rutgers U)
Abstract: This study examines the tension over appropriation strategy between firms and scientists, a key human capital. Whereas scientists prefer to publish, firms tend o minimize outgoing knowledge to maintain competitive advantage. This study investigates how a tight labor market, which affords scientists higher bargaining power, can influence firm publications. Using a novel dataset from the US Artificial Intelligence (AI) industry, I show that recruitment efforts increase the number of AI publications, but primarily in the same fields of heightened demand. A machine learning-based approach demonstrates that to balance the trade-off between knowledge leakage and recruiting, firms publish papers that are less commercially valuable. Further mechanism tests on the use of AI research in patents and the science intensiveness of AI patents bolster our theoretical explanation.