Dr Su Jung Jee
PhD, FHEA
Management School
Lecturer in Business Analytics and Technology Management
Full contact details
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 focuses on innovation and intellectual property management, with a particular interest in the context of open innovation, industrial dynamics of AI, and climate change. She is also broadly interested in developing frameworks and measures to support decision-making in relation to innovation management and policy, leveraging various analytics approaches including patent analytics, bibliometrics, and agent-based simulation.
She received her BS and PhD degrees in Industrial Engineering (Specialty: Technology Management and Analytics) from Yonsei University, South Korea. She was an Assistant Professor at the Bradford School of Management (2022-23), a Visiting Fellow at the INET Oxford (2021) (funded as an Overseas Postdoctoral Research Fellow of the NRF 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/Bibliometrics
- Publications
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Journal articles
- 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.
- 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.
- 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.
- 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.
- Perceived importance of intellectual property protection methods by Korean SMEs involved in product innovation and their value appropriation. Journal of Small Business Management, 1-27.
- Cost–benefit model for multi-generational high-technology products to compare sequential innovation strategy with quality strategy. PLOS ONE, 16(4), e0249124-e0249124.
Working papers
- Intellectual Property Rights, Climate Technology Transfer and Innovation in Developing Countries.
- Knowledge Spillovers between Clean and Dirty Technologies.
- 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.
- 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.