What is the role of startups within the innovation ecosystem? Since 2000, startups have grown in their share of commercializing research from top U.S. universities; however, prior work has little to say on the particular advantages of startup ventures in the innovation process relative to more...

Motivated by the establishment of major U.S. Federal programs seeking to harness the potential of regional innovation ecosystems, we assess the promise and challenges of place-based innovation policy interventions. Relative to traditional research grants, place-based innovation policy...

For organizations focused on scientific research and innovation, workforce diversity is a key driver of success. Blinded review is an increasingly popular approach to reducing bias and increasing diversity in the selection of people and projects, yet its effectiveness is not fully understood. We...

A central premise of research in the strategic management of innovation is that start-ups are able to leverage emerging technological trajectories as a source of competitive advantage. But, if the potential for a technology is given by the fundamental character of a given technological...

Entrepreneurs must choose between alternative strategies for bringing their idea to market. They face uncertainty regarding both the quality of their idea as well as the efficacy of each strategy. While entrepreneurs can reduce this uncertainty by conducting tests, any single test conflates the...

How should theory-based entrepreneurs search for strategies to implement their ideas? The theory-based view of strategy posits that decision-makers hold theories about their environment premised on beliefs that should be actively tested. This causal framework, which underlies the theory-based...

This paper provides a theoretical investigation of the tension over knowledge disclosure between firms and their scientific employees. While empirical research suggests that scientists exhibit a "taste for science," such open disclosures can limit a firm's competitive advantage or ability to...

This paper examines how the introduction of artificial intelligence (AI), particularly generative and large language models capable of interpolating precisely between known data points, reshapes scientists' incentives for pursuing novel versus incremental research. Extending the theoretical...

This paper analyzes the design of tests to distinguish human from artificial intelligence through the lens of information design. We identify a fundamental asymmetry: while AI systems can strategically underperform to mimic human limitations, they cannot overperform beyond their capabilities....

Building on recent advances in the literature on knowledge creation and innovation (notably Carnehl and Schneider (2025), we propose a novel general equilibrium model that explicitly incorporates artificial intelligence (AI) as a decision-enhancing technology capable of interpolating between...