Identification of Potential R&BD Opportunities by Generative Topogrophic Mapping from a Dynamic Perspective
Feng Lijie1,2 Li Pengyue1 Wang Jinfeng3 Zhang Ke4 Lin Kuoyi5
1.School of Management, Zhengzhou University, Zhengzhou, 450001
2. School of Logistics Engineering, Shanghai Maritime University, Shanghai, 201306
3.China (Shanghai) Free Trade Zone Supply Chain Research Institute, Shanghai Maritime University, Shanghai, 201306
4. School of Information Management, Zhengzhou University, Zhengzhou, 450001
5.School of Business, Guilin University of Electronic Technology, Guilin,541004
Online:2024-05-26
Published:2024-06-14
About author:Feng Lijie, Ph.D., professor, research interests in technological innovation and management; Li Pengyue, master student, research interests in technology and business innovation; Wang Jinfeng, Ph.D, professor, research interests in industrial engineering and innovative methods; Zhang Ke(Corresponding author), Ph.D., lecturer, research interests in product innovation, Email: kezhang@zzu.edu.cn; Lin Kuoyi, Ph.D., professor, research interests in machine learning.
Supported by:
Henan Xing culture engineering culture research special project "Research on the Mechanism and Path of Innovation Management of Henan Enterprises under the Innovation-driven Strategy"(2022XWH082)); Zhengzhou University youth talent enterprise cooperation innovation team support program project: 'Application Research on Innovative Methods for Reaching the Peak of Science and Technology in Central Plains Enterprises'; Henan province soft science research project of the Henan province science and technology development plan for the Year 2024: Research on Core Technology Breakthrough Mechanisms and Innovation Paths of Specialized and New Enterprises in Henan Province under the Drive of Innovation-Driven High-Quality Development(242400410330).
Feng Lijie Li Pengyue Wang Jinfeng Zhang Ke Lin Kuoyi. Identification of Potential R&BD Opportunities by Generative Topogrophic Mapping from a Dynamic Perspective[J]. Journal of Information Resources Management, 2024, 14(3): 149-160.