Dr Su Jung Jee
PhD, FHEA
Management School
Lecturer in Business Analytics and Technology Management
s.j.jee@sheffield.ac.uk
Sheffield University Management School
Full contact details
Dr Su Jung Jee
Management School
Sheffield University Management School
Conduit Road
Sheffield
S10 1FL
Management School
Sheffield University Management School
Conduit Road
Sheffield
S10 1FL
- Profile
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Su Jung is a Lecturer at the Sheffield University Management School and an Associate Fellow at the INET Oxford. Her research interests include innovation management and policy, intellectual property, industrial dynamics of AI, sustainability, complexity and design science.She received her BS and PhD degrees in Industrial Engineering (with a specialisation in Technology Management and Analytics) from Yonsei University, South Korea. She was an Assistant Professor at the University of Bradford School of Management (2022-23), a Visiting Fellow at the INET Oxford (2021) (funded as an Overseas Postdoctoral Research Fellow of the National Research Foundation of Korea) and a visiting PhD student at the Science Policy Research Unit (SPRU), University of Sussex (2018).
- Research interests
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- Innovation
- Intellectual property
- Industrial dynamics of AI
- Sustainable innovation
- Patent analytics and bibliometrics
- Complexity and design science
- Publications
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Journal articles
- Knowledge spillovers between clean and dirty technologies: Evidence from the patent citation network. Ecological Economics, 224, 108310-108310.
- Intellectual property reassembly: a novel approach to evaluate R&D collaboration outcomes. R&D Management.
- A firm’s creation of proprietary knowledge linked to the knowledge spilled over from its research publications: the case of artificial intelligence. Industrial and Corporate Change, 32(4), 876-900. View this article in WRRO
- Firms’ influence on the evolution of published knowledge when a science-related technology emerges: the case of artificial intelligence. Journal of Evolutionary Economics, 33(1), 209-247.
- Perceived importance of intellectual property protection methods by Korean SMEs involved in product innovation and their value appropriation. Journal of Small Business Management, 61(6), 2561-2587.
- Knowledge for a warmer world: A patent analysis of climate change adaptation technologies. Technological Forecasting and Social Change, 183, 121879-121879.
- Mapping and identifying technological coopetition: a multi-level approach. Scientometrics, 126(7), 5797-5817.
- Cost-benefit model for multi-generational high-technology products to compare sequential innovation strategy with quality strategy.. PLoS One, 16(4), e0249124.
- Patent-based framework for assisting entrepreneurial firms’ R&D partner selection: Leveraging their limited resources and managing the tension between learning and protection. Journal of Engineering and Technology Management, 57, 101575-101575.
- Exploring the forward citation patterns of patents based on the evolution of technology fields. Journal of Informetrics, 13(4), 100985-100985.
- License choice in open 3D printing content community: Are current license options sufficient?. Telematics and Informatics, 35(8), 2242-2253.
- Patent network based conjoint analysis for wearable device. Technological Forecasting and Social Change, 101, 338-346.
Working papers
- Research group
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- Operations Management and Decision Sciences
- Grants
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- (2023-2025, Co-Principal Investigator) SSHRC New Frontiers in Research Fund, £146,000
- (2023-2024, Principal Investigator) ESRC InterAct Early Career Researcher Fellowship, £5,000.
- (2020-2021, Principal Investigator) Post-doctoral Researcher Fellowship, NRF of Korea, £30,000.
- (2022-2023, Co-Investigator) Consultancy - “IPR, Climate Technology Transfer and Innovation in Developing Countries”, GIZ.