How to design a better policy to promote innovation?
Sungkyunkwan University (SKKU), South Korea
Graduate School of Management of Technology
Department of Systems Management Engineering/Industrial Engineering
IPR group focuses on quantitative analysis of innovation policy and technology strategy of firms. The followings are the specific research topics
Policy on Artificial Intelligence/Machine Learning
Patent Strategy/Policy and Innovation
Science and Innovation in Digital Economy (Data exclusivity)
Regulation and Firm Innovation
Research methods
Bibliometric analysis using metadata of research publications
Patent analysis (Patent statistics + text mining)
Econometric & Network analysis
News
Competition or Diversion? Effect of Public Sharing of Data on Research Productivity of Data Provider @ Academy of Management Annual Meeting 24' [Link]
Transfer of University Patents and Its Impact on Follow-on Invention [Link]
How does Regulatory Uncertainty Shape the Innovation Process? Evidence from the Case of Nanomedicine [Link]
Dual Role of Data in Corporate Research on Machine Learning and Artificial Intelligence @
Academy of Management Annual Meeting 23'
Interdisciplinary knowledge integration as a unique knowledge source for technology development and the role of funding allocation [Link]
A paper coauthored with Drs. Jan Youtie, Alan Porter, Mr. Nils Newman has been selected as a best paper proceeding at the Academy of Management Annual Meeting 22' [Link]
Chasing two hares at once? Effect of joint institutional change for promoting commercial use of university knowledge and scientific research [Link]
Can antitrust law enforcement spur innovation? Antitrust regulation of patent consolidation and its impact on follow-on innovations [Link]