| dc.contributor | 圖檔所 | |
| dc.creator (作者) | 蔡明月 | |
| dc.creator (作者) | Tsay, Ming-Yueh | |
| dc.creator (作者) | Liu, Zhi-Wei | |
| dc.date (日期) | 2020-12 | |
| dc.date.accessioned | 22-Apr-2021 15:34:26 (UTC+8) | - |
| dc.date.available | 22-Apr-2021 15:34:26 (UTC+8) | - |
| dc.date.issued (上傳時間) | 22-Apr-2021 15:34:26 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/134859 | - |
| dc.description.abstract (摘要) | Studying the distribution of the patent cooperation networks from the perspective of assignees provides a very important reference to improve the analysis of the market situation, master the layout of industrial technology and seek partners or mergers and acquisitions. This study uses the Derwent patent database and the patent metric approach to investigate the cooperative network structure of the assignees. The overall patent output in the artificial intelligence field on a global scale exhibited a rapid growth, and the proportion of cooperative patents significantly increased; the cooperation structure between the assignees was loose, and the innovation efficiency was low. | |
| dc.format.extent | 10566504 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | World Patent Information, Vol.63, pp.102000 | |
| dc.subject (關鍵詞) | Artificial intelligence ; Patent metrics ; Patent cooperation network | |
| dc.title (題名) | Analysis of the Patent Cooperation Network in Global Artificial Intelligence Technologies Based on the Assignees. | |
| dc.type (資料類型) | article | |
| dc.identifier.doi (DOI) | 10.1016/j.wpi.2020.102000 | |
| dc.doi.uri (DOI) | https://doi.org/10.1016/j.wpi.2020.102000 | |
