| AI and the Economy J Furman, R Seamans Innovation policy and the economy 19 (1), 161-191, 2019 | 671 | 2019 |
| Responses to entry in multi-sided markets: The impact of Craigslist on local newspapers R Seamans, F Zhu Management Science 60 (2), 476-493, 2014 | 551 | 2014 |
| Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses E Felten, M Raj, R Seamans Strategic Management Journal 42 (12), 2195-2217, 2021 | 285 | 2021 |
| A method to link advances in artificial intelligence to occupational abilities EW Felten, M Raj, R Seamans AEA Papers and proceedings 108, 54-57, 2018 | 272 | 2018 |
| Primer on artificial intelligence and robotics M Raj, R Seamans Journal of Organization Design 8 (1), 11, 2019 | 237 | 2019 |
| How will language modelers like ChatGPT affect occupations and industries? E Felten, M Raj, R Seamans arXiv preprint arXiv:2303.01157, 2023 | 234 | 2023 |
| The Internet and Hate Crime: Offline Spillovers from Online Access J Chan, A Ghose, R Seamans MIS Quarterly, 2016 | 211* | 2016 |
| Entrepreneurial finance, credit cards, and race AK Chatterji, RC Seamans Journal of Financial Economics 106 (1), 182-195, 2012 | 198 | 2012 |
| Minority entrepreneurship in twenty-first century America T Bates, WD Bradford, R Seamans Small Business Economics 50, 415-427, 2018 | 192 | 2018 |
| The occupational impact of artificial intelligence: Labor, skills, and polarization EW Felten, M Raj, R Seamans NYU Stern School of Business, 2019 | 162* | 2019 |
| Entrepreneurship, innovation, and political competition: How the public sector helps the sharing economy create value Y Paik, S Kang, R Seamans Strategic Management Journal, 2018 | 152 | 2018 |
| Artificial intelligence, labor, productivity, and the need for firm-level data M Raj, R Seamans The economics of artificial intelligence: An agenda, 553-565, 2018 | 129 | 2018 |
| Fighting city hall: entry deterrence and technology upgrades in cable TV markets RC Seamans Management Science 58 (3), 461-475, 2012 | 129* | 2012 |
| AI, labor, productivity and the need for firm-level data R Seamans, M Raj National Bureau of Economic Research, 2018 | 123 | 2018 |
| Discrimination in lending? Evidence from the paycheck protection program R Atkins, L Cook, R Seamans Small Business Economics, 1-23, 2022 | 108 | 2022 |
| Repositioning and Cost-cutting: The Impact of Competition on Platform Strategies R Seamans, F Zhu Strategy Science, 2017 | 99 | 2017 |
| Debtor rights, credit supply, and innovation G Cerqueiro, D Hegde, MF Penas, R Seamans Management Science, 2016 | 98 | 2016 |
| Occupational heterogeneity in exposure to generative ai EW Felten, M Raj, R Seamans Available at SSRN 4414065, 2023 | 92 | 2023 |
| Capturing value from artificial intelligence JM Berg, M Raj, R Seamans Academy of Management Discoveries 9 (4), 424-428, 2023 | 89 | 2023 |
| The business of AI startups JE Bessen, SM Impink, L Reichensperger, R Seamans Boston Univ. School of Law, Law and Economics Research Paper, 2023 | 79 | 2023 |
Feng ZhuProfessor, Harvard Business SchoolZweryfikowany adres z hbs.edu