Jino Lu
Hello! I am an Assistant Professor of Strategy and Entrepreneurship at the Olin Business School, Washington University in St. Louis.
My research explores how external technological and societal factors impact firms and their innovation processes, in the context of electric vehicle technologies, quantum computing, and artificial intelligence. My research methodology involves constructing large-scale, novel datasets and using a combination of causal inference econometrics and machine learning techniques, complemented by qualitative interviews to gain a comprehensive understanding of the phenomenon.
If you would like to connect, please feel free to reach out at jinolu@wustl.edu I am always eager to connect and discuss research.
Selected Research
*In all papers, all authors contributed equally. Authors listed in alphabetical, reverse alphabetical or random order.
Demand-driven Innovation and Spillover Effects on Adjacent Technological Domains: Evidence from Electric Vehicle Technologies
Jino Lu
Revise & Resubmit at Organization Science
Best Conference Paper in Innovation and Entrepreneurship, Industry Studies Association Annual Conference, 2024
Best Conference Paper Finalist, Strategic Management Society Annual Conference, 2023
Best Conference PhD Paper, Strategic Management Society Annual Conference, 2023
Knowledge and Innovation Interest Group Best Paper, Strategic Management Society Annual Conference, 2023
Will Mitchell Dissertation Research Award, Strategic Management Society Strategy Research Foundation, 2023
Greif Entrepreneurship PhD Research Award, USC Lloyd Greif Center for Entrepreneurial Studies, 2023
Dissertation Completion Grant, USC Marshall School of Business, 2023
Intellectual Distance and Propensity to Engage with New Technological Development: Evidence from Electric Vehicle Technologies
Jino Lu
Revise & Resubmit at Organization Science
Best Conference PhD Paper, Strategic Management Society Annual Conference, 2022
The Bent Dalum Best PhD Paper Award, DRUID Academy Conference, 2023
Mapping the Knowledge Space: Exploiting Unassisted Machine Learning Tools (NBER working paper #30603)
Florenta Teodoridis, Jino Lu, and Jeffrey L. Furman
2nd round Revise & Resubmit at Strategic Management Journal
Overcoming the Division of Labor in Scientific Research for Complementary Innovation: Evidence from Quantum Computing
Avi Goldfarb, Jino Lu, and Florenta Teodoridis
Under Review at Management Science
Fehder, D., Teodoridis, F., Raffiee, J., & Lu, J. 2024. The partisanship of American inventors. Research Policy. 53(7): 105034
Covered by Bloomberg (online), 2024
Jino Lu
