The Power of Machine Learning Methods to Predict Crowdfunding Success: Accounting for Complex Relationships Efficiently.
Elitzur, R., Katz, N., Muttath, P., & Soberman, D. (2024). https://doi.org/10.1016/j.jbvd.2024.100022
Machine learning models for early‐stage investment decision making in startups.
Shi, Y., Eremina, E., & Long, W. (2024). https://doi.org/10.1002/mde.4072
Innovating by prompting: How to facilitate innovation in the age of generative AI.
Sundberg, L., & Holmström, J. (2024). https://doi.org/10.1016/j.bushor.2024.04.014
Natural language processing analysis of online reviews for small business: extracting insight from small corpora.
McCloskey, B. J., LaCasse, P. M., & Cox, B. A. (2024). https://doi.org/10.1007/s10479-023-05816-2
Entrepreneurial action, creativity, & judgment in the age of artificial intelligence.
Townsend, D. M., & Hunt, R. A. (2019) https://doi.org/10.1016/j.jbvi.2019.e00126
Are the futures computable? Knightian uncertainty and Artificial Intelligence.
Townsend, D. M., Hunt, R. A., Rady, J., Manocha, P., & Jin, J. H. (2023). https://doi.org/10.5465/amr.2022.0237
Chance, probability, and uncertainty at the edge of human reasoning: What is Knightian uncertainty?
Townsend, D. M., Hunt, R. A., & Rady, J. (2024). https://doi.org/10.1002/sej.1516
Do Androids Dream of Entrepreneurial Possibilities? A Reply to Ramoglou et al.’s
Townsend, D. M., Hunt, R. R. A., Rady, J., Manocha, P., & Jin, J. H. (2024). https://doi.org/10.5465/amr.2024.0299
Competitive advantage through artificial intelligence: Toward a theory of situated AI.
Kemp, A. (2024). https://doi.org/10.5465/amr.2020.0205
The Challenge and Opportunity of a Quantum Mechanics Metaphor in Organization and Management Research: A Response to Shelef, Wuebker, and Barney’s “Heisenberg Effects in Experiments on Business Ideas”
Clark, D. R., & Hunt, R. A. (2024). https://doi.org/10.5465/amr.2024.0134