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Biography

Su Jung is a Lecturer in Business Analytics and Technology Management at the Bradford School of Management and an Associate Fellow at the INET Oxford. 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 a visiting scholar at the INET Oxford, University of Oxford (2021) and a visiting PhD student at the Science Policy Research Unit (SPRU), University of Sussex (2018). 

Her research focuses on intellectual property strategies and policies for innovation, with a particular interest in AI and green innovation. She is also broadly interested in the design and development of frameworks for supporting decision-making in relation to innovation management and policy, particularly by using patent and bibliometric analysis. She has published in leading innovation journals including Industrial and Corporate Change, Journal of Evolutionary Economics, Journal of Small Business Management, Technological Forecasting and Social Change, Scientometrics, Journal of Engineering and Technology Management, and Journal of Informetrics

Research

Research Interests

  • Intellectual Property Management and Policy
  • Innovation Management
  • Industrial Dynamics of Artificial Intelligence
  • Sustainable Innovation
  • Patent Analytics/Bibliometrics/Business Analytics  
Grants

  • (2023-2024, Principal Investigator) ESRC InterAct Early Career Researcher Fellowship, "Matching AI solution providers to UK manufacturers to accelerate the discovery of carbon capture materials", £4,785.
  • (2020-2021, Principal Investigator) “Strategy for successful disassembly of proprietary knowledge after R&D collaboration”, National Research Foundation of Korea, £30,000.
Consultancy
  • (2022-2023, Co-Investigator) “Study on Intellectual Property Rights and Climate Technology”, GIZ (Deutsche Gesellschaft für Internationale Zusammenarbeit GmbH).
Ph.D. Thesis

  • (Aug 2020) Engagement of Firms in Research Publication when Science-related Technologies Emerge: The Case of Artificial Intelligence

Teaching

Year Module code Title Subject
EAE7502-BGlobal Technology and Innovation Management
OIM7502-BBusiness Data Analytics
OIM5016-BBusiness Forecasting and Analysis
OIM5017-BBig Data Analytics for Business (In Company)

Professional activities

  • Part-time Instructor at Yonsei University (Spring 2020): Intellectual Property Management and Technology Mining (Module design and leading)
  • TA & Guest Instructor at Yonsei University: Data Mining Theory and Practice (Spring 2018, Spring 2019), Quality Engineering (Fall 2016, Fall 2019), Data Analysis (Fall 2015), Design and Analysis of Experiments (Spring 2015)
  • RA (2020): Data-based decision support analytics for efficient innovation ecosystem in the era of hyper-connectivity and super-intelligence, National Research Foundation of Korea.
  • RA (2014-2019): Science of patent management strategy for effective innovation, National Research Foundation of Korea.
  • RA (2014-2018): Geospatial big data management, analysis and service platform technology development, Ministry of Land, Infrastructure, and Transport of Korea.
  • RA (2015-2016): Warranty data analysis, Hyundai Motor Co. (Designing warranty policy for Hyundai Motor Co. based on the analysis of claim data obtained from the U.S. automobile market)

Publications

Peer Reviewed Journal
TitleA Firm’s Creation of Proprietary Knowledge Linked to the Knowledge Spilled Over from its Research Publications: The Case of Artificial Intelligence (2023)
AuthorsJee S.J.*;Sohn S.Y.
JournalIndustrial and Corporate Change
 
TitleFirms’ Influence on the Evolution of Published Knowledge when a Science-related Technology Emerges: The Case of Artificial Intelligence (2022)
AuthorsJee S.J.*;Sohn S.Y.
JournalJournal of Evolutionary Economics
 
TitleKnowledge for a warmer world: A patent analysis of climate change adaptation technologies (2022)
AuthorsHötte, K., Jee, S.J.
JournalTechnological Forecasting and Social Change
 
TitleMapping and identifying technological coopetition: a multi-level approach (2021)
AuthorsYoon S.Y.;Jee S.J.*;Sohn S.Y.
JournalScientometrics
 
TitleCost-benefit model for multi-generational high-technology products to compare sequential innovation strategy with quality strategy. (2021)
AuthorsKim H.J.;Jee S.J.*;Sohn S.Y.
JournalPLoS ONE
 
TitlePerceived importance of intellectual property protection methods by Korean SMEs involved in product innovation and their value appropriation (2021)
AuthorsJee S.J.;Sohn S.Y.
JournalJournal of Small Business Management
 
TitlePatent-based framework for assisting entrepreneurial firms’ R&D partner selection: Leveraging their limited resources and managing the tension between learning and protection (2020)
AuthorsJee S.J.;Sohn S.Y.
JournalJournal of Engineering and Technology Management - JET-M
 
TitleExploring the forward citation patterns of patents based on the evolution of technology fields (2019)
AuthorsJee S.J.;Kwon M.;Ha J.;Sohn S.Y.
JournalJournal of Informetrics
 
TitleLicense choice in open 3D printing content community: Are current license options sufficient? (2018)
AuthorsJee S.J.;Sohn S.Y.
JournalTelematics and Informatics
 
TitlePatent network based conjoint analysis for wearable device (2015)
AuthorsJee S.J.;Sohn S.Y.
JournalTechnological Forecasting and Social Change
 
Published Reports
TitlePivoting from Dirty to Clean: The Intellectual Distance between Clean and Dirty Technologies (2021)
AuthorsJee, S.J., Srivastav, S.
PublisherINET Oxford Working Paper