Key details
Dr Jie Jiang
Lecturer in Business Operations (MBA)
Dr Jie Jiang joined the University of Greenwich in 2023 as a Lecturer in Business Operation. Jie received her PhD in Management Science and Engineering from Nanjing University of Science and Technology, China. During her PhD study from 2018-2020, she was a visiting researcher with Professor Teece and Professor Chesbrough, at Haas Business School at Berkeley, University of California. She has a Master’ degree in Intellectual Property and Information Law from the King’s College London and has a bachelor's degree in law from the China University of Political Science and Law, China. Her PhD thesis is focus on knowledge management of patent-intensive industry.
Research / Scholarly interests
Among her research interests are business management in business model, logistic and entrepreneurship and innovation management, especially R&D management and technological innovation. Recently she is working research on firms’ knowledge cooperation networks and technological innovation performance. Her further research topic also includes business model and logistic innovation of green vehicle industry, in analysis of case study way as well as econometrical methods.
Recent publications
Jiang, J., Zhang, Q. and Hui, Y., 2023. The Impact of Market and Non-Market-Based Environmental Policy Instruments on Firms’ Sustainable Technological Innovation: Evidence from Chinese Firms. Sustainability, 15(5), p.4425.
Jiang, J. and Zhang, Q., 2023. Boundary spanning strategy and tacit knowledge recombination: Analysis of joint‐patent networks of patent‐intensive firms. Managerial and Decision Economics., first published: 08 May 2023, https://doi.org/10.1002/mde.3897.
Jie, J., Chaoying, T., Qihang, Z. and Junwen, F., 2021. Interactive influence of industrial characteristics on the effect of technological innovation incentive policies. Science Research Management, 42(11), p.71.
Jie, J., David, T., Qihang, Z. and Junwen, F., 2019. Enterprise Dynamic Capability and Construction, Innovation and Operation of Business Model. Journal of Technical Economics & Management, 2019(5), p.47.