Seminar  |  02/26/2025 | 03:00 PM  –  04:15 PM

Innovation & Entrepreneurship Seminar: Acquiring R&D Projects – Who, When, and What? Evidence from Antidiabetic Drug Development

Melissa Newham (ETH Zurich)


hybrid (Room 313/Zoom)

This paper analyzes M&A patterns of R&D projects in the antidiabetics industry. For this purpose, we construct a database with all corporate individual antidiabetics R&D projects over the period 1997–2017 and add detailed information on firms’ technology dimension using patent information, next to their position in product markets. This allows us to identify the identity of targets and acquirers (who), the timing of acquisitions along the R&D process (when), and which type of R&D projects changes hands in terms of technology novelty (what). The main results can be summarized as follows. First, most of the action in M&As is in early R&D stages, still far from product markets. Second, most of the early-stage projects that change hands are high-risk/high-gain novel projects. Third, the industry leaders in the product markets are rather inactive in acquiring those novel early-stage projects. The likely acquirers of such projects are small or pipeline firms. Our results put into perspective the narrative that large incumbents acquire small targets with low-risk projects close to product launch. (joint work with J. Malek, J. Seldeslachts and R. Veugelers)


Contact person: Elisabeth Hofmeister


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Seminar  |  03/05/2025 | 04:00 PM  –  05:15 PM

Innovation & Entrepreneurship Seminar: Generative AI and Entrepreneurial Entry

Jiayi Bao (Mays Business School, Texas A&M University)


Virtual talk, on invitation, see seminar page

This study examines whether access to generative AI (GenAI) technologies affects entrepreneurial entry and, if so, how. We propose two mechanisms for a potential positive effect: (1) an augmentation channel that pulls prospective entrepreneurs into opportunity-driven entrepreneurship as they automate various peripheral tasks, and (2) an automation channel that pushes displaced wage workers into necessity-driven entrepreneurship as firms automate their core tasks. Leveraging the sudden release of ChatGPT, which democratized public GenAI access, we exploit industry variation in GenAI exposure for the science, technology, engineering, and mathematics (STEM) workforce in a difference-in-differences design. We find that GenAI access leads to increased incorporated entrepreneurship for individuals with higher GenAI exposure. Mechanism tests support the augmentation channel and reveal important heterogeneities in who benefits more from GenAI.
 

Contact person: Daehyun Kim


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Seminar  |  04/02/2025 | 03:00 PM  –  04:15 PM

Preview: Innovation & Entrepreneurship Seminar with Alexander Donges

Alexander Donges (University of Mannheim)


hybrid (Room tba/Zoom)

Title and abstract will follow soon.


Contact person: Michael Rose


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Seminar  |  04/09/2025 | 03:00 PM  –  04:15 PM

Innovation & Entrepreneurship Seminar: Generative AI and the Nature of Work

Frank Nagle (Harvard Business School)


Virtual talk, on invitation, see seminar page

Recent advances in artificial intelligence (AI) technology demonstrate considerable potential to complement human capital intensive activities. While an emerging literature documents wide-ranging productivity effects of AI, relatively little attention has been paid to how AI might change the nature of work itself. How do individuals, especially those in the knowledge economy, adjust how they work when they start using AI? Using the setting of open source software, we study individual level effects that AI has on task allocation. We exploit a natural experiment arising from the deployment of GitHub Copilot, a generative AI code completion tool for software developers. Leveraging millions of work activities over a two year period, we use a program eligibility threshold to investigate the impact of AI technology on the task allocation of software developers within a quasi-experimental regression discontinuity design. We find that having access to Copilot induces such individuals to shift task allocation towards their core work of coding activities and away from non-core project management activities. We identify two underlying mechanisms driving this shift - an increase in autonomous rather than collaborative work, and an increase in exploration activities rather than exploitation. The main effects are greater for individuals with relatively lower ability. Overall, our estimates point towards a large potential for AI to transform work processes and to potentially flatten organizational hierarchies in the knowledge economy.


Contact person: Cheng Li


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Seminar  |  05/07/2025 | 03:00 PM  –  04:15 PM

Preview: Innovation & Entrepreneurship Seminar with Elie Sung

Elie Sung (HEC Lausanne)


hybrid (Room tba/Zoom)

Title and abstract will follow soon.


Contact person: Elisabeth Hofmeister


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Seminar  |  05/14/2025 | 03:00 PM  –  04:15 PM

Preview: Innovation & Entrepreneurship Seminar with Ariel D. Stern

Ariel D. Stern (Hasso Plattner Institute)


Room: tba

Title and abstract will follow.


Contact person: Elisabeth Hofmeister


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Seminar  |  06/17/2025 | 03:00 PM  –  04:15 PM

Preview: Innovation & Entrepreneurship Seminar with Colleen Cunningham

Colleen Cunningham (University of Utah)


hybrid (Room tba/Zoom)

Title and abstract will follow soon.


Contact person: Elisabeth Hofmeister


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Seminar  |  07/09/2025 | 03:00 PM  –  04:15 PM

Preview: Innovation & Entrepreneurship Seminar with Maria Roche

Maria Roche (Harvard Business School)


hybrid (Room tba/Zoom)

Title and abstract will follow.


C0ntact person: Daehyun Kim


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Seminar  |  07/23/2025 | 03:00 PM  –  04:15 PM

Preview: Innovation & Entrepreneurship Seminar with Hongyuan Xia

Hongyuan Xia (Cornell University)


Room: tba

Title and abstract will follow.


Contact person: Elisabeth Hofmeister


Subscription to the invitation mailing list and more information on the seminar page.