Capturing information on global knowledge flows from patent transfers: An empirical study using USPTO patents

知识流 商标 知识经济 业务 知识共享 知识转移 信息流 全球网络 前提 知识管理 知识价值链 隐性知识 社会网络分析 计算机科学 组织学习 电信 语言学 社会化媒体 哲学 万维网 操作系统
作者
Weiwei Liu,Yuan Tao,Kexin Bi
出处
期刊:Research Policy [Elsevier]
卷期号:51 (5): 104509-104509 被引量:29
标识
DOI:10.1016/j.respol.2022.104509
摘要

In the global open innovation environment, one of the main characteristics of the knowledge-based economy is to pay more attention to the importance of global knowledge flows. This paper investigates global knowledge flows from the perspective of patent transfers, which can not only reflect the patents' economic value but also explore explicit and tacit knowledge flows comprehensively. This paper begins with the premise that global knowledge flows include the internal absorption of knowledge (IAK), knowledge outflows (KOFs) and knowledge inflows (KIFs) based on a dataset derived from United States Patent and Trademark Office (USPTO) during 2002 and 2016. Then, a global knowledge flow network is constructed by integrating patent transfer analysis and social network analysis. Our results show that more and more inventors and assignees are involved in the global knowledge flow network, China and India's ranking in the list of knowledge creators and users rises rapidly, cross-border knowledge flows will become a new trend; the rapid development of G06F (electric digital data processing), H04L (transmission of digital information) and other technological fields has accelerated the global knowledge flows; at present, the United States is the largest net knowledge inflow participant, the United Kingdom is the largest net knowledge outflow participant; the characteristics of a small-world effect in the cross-border knowledge flow network composed of 35 major participants become increasingly obvious. Our findings have clear policy implications. Establishing a global knowledge flow network is needed in order to promote global knowledge transfers, absorption and sharing.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Leoling发布了新的文献求助10
2秒前
3秒前
3秒前
renovel完成签到,获得积分10
6秒前
科研通AI2S应助视野胤采纳,获得10
7秒前
小米发布了新的文献求助10
8秒前
整齐凌萱发布了新的文献求助10
8秒前
zzz完成签到,获得积分10
8秒前
10秒前
小雷完成签到,获得积分10
11秒前
12秒前
Ava应助天才小熊猫采纳,获得10
12秒前
orixero应助bloodol3采纳,获得10
13秒前
LT发布了新的文献求助30
13秒前
aa完成签到,获得积分10
15秒前
Acadia发布了新的文献求助10
15秒前
蜜雪冰城发布了新的文献求助10
16秒前
16秒前
yu完成签到 ,获得积分10
17秒前
17秒前
19秒前
23秒前
23秒前
23秒前
app完成签到 ,获得积分10
23秒前
24秒前
852应助jianning采纳,获得10
25秒前
zyj完成签到,获得积分10
25秒前
26秒前
26秒前
ertredffg完成签到,获得积分10
26秒前
zzz发布了新的文献求助10
27秒前
28秒前
美味的薯片完成签到 ,获得积分10
28秒前
Accepted应助875728314采纳,获得10
28秒前
Joey完成签到 ,获得积分10
29秒前
30秒前
30秒前
无私尔风发布了新的文献求助10
32秒前
北侨发布了新的文献求助10
32秒前
高分求助中
Kinetics of the Esterification Between 2-[(4-hydroxybutoxy)carbonyl] Benzoic Acid with 1,4-Butanediol: Tetrabutyl Orthotitanate as Catalyst 1000
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Handbook of Qualitative Cross-Cultural Research Methods 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Chen Hansheng: China’s Last Romantic Revolutionary 500
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3139150
求助须知:如何正确求助?哪些是违规求助? 2790122
关于积分的说明 7793698
捐赠科研通 2446483
什么是DOI,文献DOI怎么找? 1301209
科研通“疑难数据库(出版商)”最低求助积分说明 626124
版权声明 601102