Research Article
Analysis of the Evolutionary Dynamics of the Technology Opportunity Discovery Field Based on Thematic Linkages
@INPROCEEDINGS{10.4108/eai.26-5-2023.2337266, author={Duanwu Yan and Yuqian Ma and Chenhe Yang}, title={Analysis of the Evolutionary Dynamics of the Technology Opportunity Discovery Field Based on Thematic Linkages}, proceedings={Proceedings of the 4th International Conference on Education, Knowledge and Information Management, ICEKIM 2023, May 26--28, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={ICEKIM}, year={2023}, month={9}, keywords={technology opportunity discovery; theme evolution; co-word analysis; visualization theme analysis; scimat}, doi={10.4108/eai.26-5-2023.2337266} }- Duanwu Yan
Yuqian Ma
Chenhe Yang
Year: 2023
Analysis of the Evolutionary Dynamics of the Technology Opportunity Discovery Field Based on Thematic Linkages
ICEKIM
EAI
DOI: 10.4108/eai.26-5-2023.2337266
Abstract
As market competition intensifies, it is essential to effectively identify technology opportunities, but existing research lacks an understanding of the evolutionary dynamics of the field of technology opportunity discovery. To reveal the development of this field, this study uses keyword characterization of research themes to explore the evolutionary capacity and path of the highly cited literature themes in the field of technology opportunity discovery during 2011-2022 by using keyword co-word analysis and cluster analysis methods, based on SciMAT visualization tool, expecting to pro-vide references for future research. The results reveal a steady growth of research results in this field in recent years and a strong evolutionary capacity of some themes. However, thematic differentiation and integration are common, and research centers are scattered with immature research overall, presenting five evolutionary paths in four directions: innovation, genetics, energy, and Internet research.
