Jaegul Lee

Trained in both management and engineering, Lee studies innovation and entrepreneurship. His doctoral dissertation won the 2006 Alfred P. Sloan Foundation Industry Studies Dissertation Award- First Prize. Lee received Ph.D. training in the "Strategy, Entrepreneurship and Technological Change" program at Carnegie Mellon University. He also holds degrees in engineering from University of Missouri-Rolla (M.S.) and Korea Advanced Institute of Science and Technology (B.S.). Prior to his Ph.D. studies at Carnegie Mellon, Lee studied public policy at Georgia Institute of Technology. Lee also worked as an engineer at Kia Motors from 1994 to 2000.

He is a member of the Academy of Management, International Motor Vehicle Program (IMVP), Sloan Industry Studies Association and INFORMS.

Academic Programs

• Management

Research and teaching interests

• Strategic Management
• Technology and Innovation Management & Policy
• Entrepreneurship

Education

• Doctor of Philosophy (Ph.D.) Carnegie Mellon University (2001 — 2005)
• Georgia Institute of Technology (2000 — 2001)
• B.S. Korea Advanced Institute of Science and Technology (1987 — 1991)

Companies

• Associate Professor Mike Ilitch School of Business, Wayne State University (2015)
• Assistant Professor Wayne State University School of Business (2007 — 2015)
• Visiting Scholar Case Western Reserve University (2012 — 2012)
• Visiting Professor Division of Engineering and Technology Management, National University of Singapore (2008 — 2008)
• Postdoctoral Research Fellow Carnegie Mellon University (2005 — 2007)
• Research Engineer Kia Motors (1994 — 2000)

Publications

1. Greiner, M., and Lee, J. 2020. "A supply-side approach to corporate political activity: Performance consequences of ideologically driven CPA," Journal of Business Research. 115: 25-37.

2. Greiner, M., and Lee, J. 2020 "US companies and political influence: How business can read the government landscape better,” Journal of Business Strategy.

3. Billings, B.A., Lee, C, and Lee, J. 2018 "Dividend tax policy and private-sector research and development spending: A modified perspective on the impact of U.S. 2003 tax reform act on R&D spending." Advances in Taxation, 25, 51-72.

4. Choi, J. H., and Lee. J. 2018. " Firm size and compositions of R&D expenditures: Evidence from a panel of R&D performing manufacturing firms." Industry and Innovation 25(5), 459-481.

5. Choi, J. H, and Lee, J., 2017 "Repairing the R&D market failure: Public R&D subsidy and the composition of private R&D." Research Policy 46, 1465-1478.

6. Seth, T., and Lee, J., 2017. "Consensus and conflict: Exploring moderating effects of knowledge workers on industry environment and entrepreneurial entry relationship." Journal of Business Research 17, 119-132.

7. Tang, M. F., Lee, J., Liu K., and Lu Y., 2014. “Assessing government-supported technology-based business incubator programs: Evidence from China.” International Journal of Technology Management 65(1/2/3/4), 24-48. [Special Issue: Entrepreneurship in China]

8. Berente, N., and Lee, J., 2014. “How process improvement efforts can drive organizational innovativeness.” Technology Analysis & Strategic Management 26(4), 417-433.

9. Lee, J., and Berente, N. 2013. “The era of incremental innovation in the technology innovation life cycle: An analysis of the automotive emission control industry,” Research Policy 42(8), 1469-1481.

10. Lee, J., and Berente N. 2012. “Digital innovation and the division of innovative labor: Digital controls in the automotive industry.” Organization Science 23(5), 1409-1427.

11. Lee, J., Veloso, M. F., and Hounshell, D., 2011. “Linking induced technological change and environmental regulation: Evidence from patenting in the U.S. auto industry,” Research Policy 40(9), 1240-1252.

12. Lee, J., Veloso, M. F., Hounshell, D., and Rubin, E. 2010. “Forcing technological change: A case of automobile emissions control technology development in the U.S" Technovation 30(4), 249-264.

13. Lee, J., and Veloso, M. F., 2008. “Inter-firm innovation under uncertainty: Empirical evidence for strategic knowledge-partitioning.” Journal of Product Innovation Management 25(5), 418-435