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Articles 31 - 32 of 32
Full-Text Articles in Industrial Organization
The U.S. Coal Industry: Market Structure & Implications, Sara Elizabeth Guffey
The U.S. Coal Industry: Market Structure & Implications, Sara Elizabeth Guffey
Graduate Theses, Dissertations, and Problem Reports (ETD)
The U.S. coal mining industry was once a booming industry which created and defined communities, particularly in Appalachia. The industry has, however, transformed significantly in the last couple of decades with the passage of environmental policies, with competition from the Shale Revolution, from changes in company ownership, and from mine safety regulation. Overall, the coal industry during this time has experienced a massive decline in production and employment. This dissertation is composed of three papers that investigate these mechanisms and their role in understanding market structure, coal transactions and prices, and mine safety outcomes. Motivated by the shutdowns of U.S. …
The Role Of Data For Ai Startup Growth, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans
The Role Of Data For Ai Startup Growth, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans
Faculty Scholarship
Artificial intelligence (“AI”)-enabled products are expected to drive economic growth. Training data are important for firms developing AI-enabled products; without training data, firms cannot develop or refine their algorithms. This is particularly the case for AI startups developing new algorithms and products. However, there is no consensus in the literature on which aspects of training data are most important. Using unique survey data of AI startups, we find that startups with access to proprietary training data are more likely to acquire venture capital funding.