Could machine learning be a general purpose technology? a comparison of emerging technologies using data from online job postings A Goldfarb, B Taska, F Teodoridis Research Policy 52 (1), 104653, 2023 | 210* | 2023 |
Creativity at the knowledge frontier: The impact of specialization in fast-and slow-paced domains F Teodoridis, M Bikard, K Vakili Administrative Science Quarterly 64 (4), 894-927, 2019 | 170 | 2019 |
When collaboration bridges institutions: The impact of university–industry collaboration on academic productivity M Bikard, K Vakili, F Teodoridis Organization Science 30 (2), 426-445, 2019 | 163 | 2019 |
Understanding team knowledge production: The interrelated roles of technology and expertise F Teodoridis Management Science 64 (8), 3625-3648, 2018 | 132* | 2018 |
Jack of all trades and master of knowledge: The role of diversification in new distant knowledge integration F Nagle, F Teodoridis Strategic management journal 41 (1), 55-85, 2020 | 94 | 2020 |
Understanding the changing structure of scientific inquiry A Agrawal, A Goldfarb, F Teodoridis American Economic Journal: Applied Economics 8 (1), 100-128, 2016 | 91* | 2016 |
Automation, research technology, and researchers’ trajectories: Evidence from computer science and electrical engineering JL Furman, F Teodoridis Organization Science 31 (2), 330-354, 2020 | 90 | 2020 |
Artificial intelligence in health care? Evidence from online job postings A Goldfarb, B Taska, F Teodoridis AEA Papers and Proceedings 110, 400-404, 2020 | 48 | 2020 |
Why is AI adoption in health care lagging? A Goldfarb, F Teodoridis < bound method Organization. get_name_with_acronym of< Organization …, 2022 | 33 | 2022 |
Mapping the Knowledge Space: Exploiting Unassisted Machine Learning Tools F Teodoridis, J Lu, JL Furman National Bureau of Economic Research, 2022 | 11* | 2022 |
Detrimental collaborations in creative work: Evidence from economics K Vakili, F Teodoridis, M Bikard Organization Science 33 (5), 1741-1755, 2022 | 10 | 2022 |
Decision-making skills in an AI world: Lessons from online chess M Miric, J Lu, F Teodoridis Available at SSRN 3538840, 2020 | 10 | 2020 |
Partisan patent examiners? Exploring the link between the political ideology of patent examiners and patent office outcomes J Raffiee, F Teodoridis, D Fehder Research Policy 52 (9), 104853, 2023 | 9* | 2023 |
When generalists are better than specialists, and vice versa F Teodoridis, M Bikard, K Vakili Cambridge: Harvard Business Review, 2012 | 7 | 2012 |
Revealing the revealed preferences of public firm CEOs and top executives: A new database from credit card spending J Raffiee, D Fehder, F Teodoridis Strategic Management Journal 43 (10), 2042-2065, 2022 | 3 | 2022 |
Machine learning could improve innovation policy JL Furman, F Teodoridis Nature Machine Intelligence 2 (2), 84-84, 2020 | 3 | 2020 |
Randomisation as a tool for organisational decision-making: a debatable or debilitating proposition? G Dushnitsky, JP Eggers, C Franzoni, F Teodoridis Industry and Innovation 30 (10), 1275-1293, 2023 | 2 | 2023 |
The partisanship of American inventors D Fehder, F Teodoridis, J Raffiee, J Lu Research Policy 53 (7), 105034, 2024 | 1 | 2024 |
Company and University Innovation during an Industry Incubation Phase: Evidence from Quantum Computing A Goldfarb, J Lu, F Teodoridis Available at SSRN 4922650, 2024 | 1* | 2024 |
The Role of Technology in Research and Innovation: A Taxonomy of Implications S Barbosu, F Teodoridis Available at SSRN 4371451, 2023 | 1* | 2023 |