Florenta Teodoridis
Florenta Teodoridis
Assistant Professor, University of Southern California, Marshall School of Business
Verified email at - Homepage
Cited by
Cited by
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
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
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
Understanding team knowledge production: The interrelated roles of technology and expertise
F Teodoridis
Management Science 64 (8), 3625-3648, 2018
Understanding the changing structure of scientific inquiry
A Agrawal, A Goldfarb, F Teodoridis
American Economic Journal: Applied Economics 8 (1), 100-128, 2016
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
Automation, research technology, and researchers’ trajectories: Evidence from computer science and electrical engineering
JL Furman, F Teodoridis
Organization Science 31 (2), 330-354, 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
Why is AI adoption in health care lagging?
A Goldfarb, F Teodoridis
Brookings Institution, 2022
Mapping the Knowledge Space: Exploiting Unassisted Machine Learning Tools
F Teodoridis, J Lu, JL Furman
National Bureau of Economic Research, 2022
Detrimental collaborations in creative work: Evidence from economics
K Vakili, F Teodoridis, M Bikard
Organization Science 33 (5), 1741-1755, 2022
When generalists are better than specialists, and vice versa
F Teodoridis, M Bikard, K Vakili
Cambridge: Harvard Business Review, 2012
Decision-making skills in an AI world: Lessons from online chess
M Miric, J Lu, F Teodoridis
Available at SSRN 3538840, 2020
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
Machine learning could improve innovation policy
JL Furman, F Teodoridis
Nature Machine Intelligence 2 (2), 84-84, 2020
Does the political ideology of patent examiners matter? An empirical investigation
J Raffiee, F Teodoridis
Academy of Management Proceedings 2019 (1), 15947, 2019
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
Research Technology and the Rate and Direction of Innovation: A Taxonomy of Implications
S Barbosu, F Teodoridis
Research Technology and the Rate and Direction of Innovation: A Taxonomy of …, 2023
The Nexus Between Artificial Intelligence and the Behavioral Theory of the Firm
N Häfner, B Burkhard, RA Bettis, H Piezunka, HE Posen, P Puranam, ...
AOM Academy of Management, 2020
Startup Commercialization Strategies of Disruptive Technologies: Implications for the Rate of Scientific Discovery
F Teodoridis
University of Southern California, 2017
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